Papers
Mon 17 Feb 2025
484 papers
- What Are They Filtering Out? An Experimental Benchmark of Filtering Strategies for Harm Reduction in Pretraining DatasetsLLM safety and security → Safety alignment, refusal and guardrails
- Invisible Walls in Cities: Designing LLM Agent to Predict Urban Segregation Experience with Social Media ContentLLM agents and tool use → Social simulation and multi-agent debate
- Rotate, Clip, and Partition: Towards W2A4KV4 Quantization by Integrating Rotation and Learnable Non-uniform QuantizerEfficient LLM inference and serving → KV cache quantization
- A Comprehensive Survey on Concept Erasure in Text-to-Image Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- CoDiff: Conditional Diffusion Model for Collaborative 3D Object DetectionDiffusion models → Image generation, text-to-image and editing
- Thinking Preference OptimizationLLM reasoning → Test-time compute and efficient thinking +1
- Unveiling Privacy Risks in LLM Agent MemoryLLM agents and tool use → Agent threats, guardrails and governance
- Unveiling the Magic of Code Reasoning through Hypothesis Decomposition and AmendmentLLM reasoning → Reasoning for agents, planning and code
- HedgeAgents: A Balanced-aware Multi-agent Financial Trading SystemLLM agents and tool use → Financial trading and forecasting agents
- Locally-Deployed Chain-of-Thought (CoT) Reasoning Model in Chemical Engineering: Starting from 30 Experimental DataLLM reasoning → Clinical and biomedical applications
- UltraGen: Extremely Fine-grained Controllable Generation via Attribute Reconstruction and Global Preference OptimizationLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- IMLE Policy: Fast and Sample Efficient Visuomotor Policy Learning via Implicit Maximum Likelihood EstimationDiffusion models → Diffusion and flow policies for robotics +1
- LanP: Rethinking the Impact of Language Priors in Large Vision-Language ModelsLLM reasoning → Hallucination detection and mitigation +1
- Hovering Flight of Soft-Actuated Insect-Scale Micro Aerial Vehicles using Deep Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
- Towards Mechanistic Interpretability of Graph Transformers via Attention GraphsMechanistic interpretability → Circuits and mechanistic analysis
- REAL-MM-RAG: A Real-World Multi-Modal Retrieval BenchmarkRetrieval-augmented generation → RAG pipeline design and evaluation
- X-IL: Exploring the Design Space of Imitation Learning PoliciesOffline RL and imitation learning from data → Imitation learning methods
- Towards Fusing Point Cloud and Visual Representations for Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
- Evaluating Step-by-step Reasoning Traces: A SurveyLLM reasoning → Reasoning benchmarks and evaluation
- Connecting Large Language Model Agent to High Performance Computing ResourceLLM agents and tool use → Web, search, and research agents
- Integrating Expert Knowledge into Logical Programs via LLMsLLM reasoning → Reasoning benchmarks and evaluation
- Learning to Reason at the Frontier of LearnabilityLLM reasoning → Reinforcement learning for reasoning
- InfoQuest: Evaluating Multi-Turn Dialogue Agents for Open-Ended Conversations with Hidden ContextLLM agents and tool use → General LLM agent frameworks and benchmarks
- Fate: Fast Edge Inference of Mixture-of-Experts Models via Cross-Layer GateMixture-of-experts → Efficient MoE training and inference systems
- Tactic: Adaptive Sparse Attention with Clustering and Distribution Fitting for Long-Context LLMsEfficient LLM inference and serving → KV cache optimization
- Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?LLM reasoning → Test-time compute and efficient thinking
- Zero Token-Driven Deep Thinking in LLMs: Unlocking the Full Potential of Existing Parameters via Cyclic RefinementLLM reasoning → Test-time compute and efficient thinking +1
- Enhancing Frame Detection with Retrieval Augmented GenerationRetrieval-augmented generation → Multimodal RAG
- Diffusion Models without Classifier-free GuidanceDiffusion models → Diffusion foundations and sampling
- HARBOR: Exploring Persona Dynamics in Multi-Agent CompetitionLLM agents and tool use → Financial trading and forecasting agents
- HermesFlow: Seamlessly Closing the Gap in Multimodal Understanding and GenerationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Diffusion-Sharpening: Fine-tuning Diffusion Models with Denoising Trajectory SharpeningDiffusion models → Diffusion and flow policies for robotics
- Fast or Better? Balancing Accuracy and Cost in Retrieval-Augmented Generation with Flexible User ControlRetrieval-augmented generation → RAG pipeline design and evaluation
- Small Models Struggle to Learn from Strong ReasonersLLM reasoning → Prompting and chain-of-thought reasoning
- SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMsLLM reasoning → Prompting and chain-of-thought reasoning
- Transformer Dynamics: A neuroscientific approach to interpretability of large language modelsMechanistic interpretability → Circuits and mechanistic analysis
- Scaling Autonomous Agents via Automatic Reward Modeling And PlanningLLM reasoning → Reasoning for agents, planning and code +2
- RA-MTR: A Retrieval Augmented Multi-Task Reader based Approach for Inspirational Quote Extraction from Long DocumentsRetrieval-augmented generation → RAG robustness and adaptive retrieval
- On the Query Complexity of Verifier-Assisted Language GenerationLLM reasoning → Test-time compute and efficient thinking
- PRISM: Self-Pruning Intrinsic Selection Method for Training-Free Multimodal Data SelectionMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Scaling Test-Time Compute Without Verification or RL is SuboptimalLLM reasoning → Test-time compute and efficient thinking
- A-MEM: Agentic Memory for LLM AgentsLLM agents and tool use → Agent memory systems
- Descriminative-Generative Custom Tokens for Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- A Study on Leveraging Search and Self-Feedback for Agent ReasoningLLM reasoning → Reasoning for agents, planning and code
- How Compositional Generalization and Creativity Improve as Diffusion Models are TrainedDiffusion models → Diffusion foundations and sampling
- HumanGif: Single-View Human Diffusion with Generative PriorDiffusion models → 3D, point cloud and scene generation
- TokenSkip: Controllable Chain-of-Thought Compression in LLMsLLM reasoning → Test-time compute and efficient thinking
- PhysReason: A Comprehensive Benchmark towards Physics-Based ReasoningLLM reasoning → Spatial and embodied reasoning
- A Survey on Bridging EEG Signals and Generative AI: From Image and Text to BeyondDiffusion models → Medical imaging and segmentation
- KnowPath: Knowledge-enhanced Reasoning via LLM-generated Inference Paths over Knowledge GraphsLLM reasoning → Knowledge- and tool-augmented reasoning
- SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning CapabilitiesLLM reasoning → Reasoning for agents, planning and code
- Teaching LLMs According to Their Aptitude: Adaptive Reasoning for Mathematical Problem SolvingLLM reasoning → Mathematical reasoning +1
- Atom of Thoughts for Markov LLM Test-Time ScalingLLM reasoning → Test-time compute and efficient thinking
- Characterizing Photorealism and Artifacts in Diffusion Model-Generated ImagesDiffusion models → Image generation, text-to-image and editing
- Image Inversion: A Survey from GANs to Diffusion and BeyondDiffusion models → Diffusion foundations and sampling
- Learning Generalizable Prompt for CLIP with Class Similarity KnowledgeMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Theoretical Barriers in Bellman-Based Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- STRIVE: Structured Reasoning for Self-Improvement in Claim VerificationLLM reasoning → Reasoning benchmarks and evaluation
- Massively Scaling Explicit Policy-conditioned Value FunctionsDeep reinforcement learning methods → Deep RL algorithms and representations
- FitLight: Federated Imitation Learning for Plug-and-Play Autonomous Traffic Signal ControlOffline RL and imitation learning from data → Imitation and offline RL for driving +1
- GRAPHGPT-O: Synergistic Multimodal Comprehension and Generation on GraphsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- EssayJudge: A Multi-Granular Benchmark for Assessing Automated Essay Scoring Capabilities of Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Neural Guided Diffusion BridgesDiffusion models → Diffusion foundations and sampling
- Exploring Quantum Control Landscape and Solution Space Complexity through Dimensionality Reduction & Optimization AlgorithmsDeep reinforcement learning methods → Quantum reinforcement learning
- MMRC: A Large-Scale Benchmark for Understanding Multimodal Large Language Model in Real-World ConversationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Building A Proof-Oriented Programmer That Is 64% Better Than GPT-4o Under Data ScarcityLLM reasoning → Mathematical reasoning
- LIMR: Less is More for RL ScalingLLM reasoning → Reinforcement learning for reasoning
- Leveraging Dual Process Theory in Language Agent Framework for Real-time Simultaneous Human-AI CollaborationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Hypothesis-Driven Theory-of-Mind Reasoning for Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Does Knowledge About Perceptual Uncertainty Help an Agent in Automated Driving?End-to-end autonomous driving → Reinforcement learning for driving
- Defining and Evaluating Visual Language Models' Basic Spatial Abilities: A Perspective from PsychometricsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- StructTransform: A Scalable Attack Surface for Safety-Aligned Large Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
- Can LLM Agents Maintain a Persona in Discourse?LLM agents and tool use → Social simulation and multi-agent debate
- Code-Vision: Evaluating Multimodal LLMs Logic Understanding and Code Generation CapabilitiesMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Intersectional Fairness in Reinforcement Learning with Large State and Constraint SpacesDeep reinforcement learning methods → RL for games and combinatorial optimization
- Less is More: Compact Clue Selection for Efficient Retrieval-Augmented Generation ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Table-Critic: A Multi-Agent Framework for Collaborative Criticism and Refinement in Table ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- BackdoorDM: A Comprehensive Benchmark for Backdoor Learning on Diffusion ModelDiffusion models → Robustness, privacy and adversarial aspects +1
- video-SALMONN-o1: Reasoning-enhanced Audio-visual Large Language ModelLLM reasoning → Audio-language model reasoning
- Cognitive-Aligned Document Selection for Retrieval-augmented GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
- Warmup-Distill: Bridge the Distribution Mismatch between Teacher and Student before Knowledge DistillationKnowledge distillation → Knowledge distillation for LLMs
- Language Models Can See Better: Visual Contrastive Decoding For LLM Multimodal ReasoningLLM reasoning → Multimodal reasoning
- ILIAS: Instance-Level Image retrieval At ScaleMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- FUNCTO: Function-Centric One-Shot Imitation Learning for Tool ManipulationOffline RL and imitation learning from data → Robot manipulation imitation learning
- SQL-o1: A Self-Reward Heuristic Dynamic Search Method for Text-to-SQLSynthetic data and self-improvement for LLMs → Synthetic reasoning data and bootstrapping
- Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient DescentLLM reasoning → Multimodal reasoning
- MT-RAIG: Novel Benchmark and Evaluation Framework for Retrieval-Augmented Insight Generation over Multiple TablesRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- "See the World, Discover Knowledge": A Chinese Factuality Evaluation for Large Vision Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- LLM Agents Making Agent ToolsLLM agents and tool use → Software engineering coding agents
- MVTokenFlow: High-quality 4D Content Generation using Multiview Token FlowDiffusion models → 3D, point cloud and scene generation
- Improve LLM-as-a-Judge Ability as a General AbilityLLM reasoning → Reasoning benchmarks and evaluation +1
- MathFimer: Enhancing Mathematical Reasoning by Expanding Reasoning Steps through Fill-in-the-Middle TaskLLM reasoning → Mathematical reasoning
- RIDE: Enhancing Large Language Model Alignment through Restyled In-Context Learning Demonstration ExemplarsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- MaskGWM: A Generalizable Driving World Model with Video Mask ReconstructionWorld models → World models for autonomous driving +1
- Uncovering the Impact of Chain-of-Thought Reasoning for Direct Preference Optimization: Lessons from Text-to-SQLLLM reasoning → Mathematical reasoning +1
- MMXU: A Multi-Modal and Multi-X-ray Understanding Dataset for Disease ProgressionMultimodal LLMs / vision-language models → Medical vision-language models
- Competing LLM Agents in a Non-Cooperative Game of Opinion PolarisationLLM agents and tool use → Social simulation and multi-agent debate
- DELMAN: Dynamic Defense Against Large Language Model Jailbreaking with Model EditingLLM safety and security → Jailbreaking
- Membership Inference Attacks for Face Images Against Fine-Tuned Latent Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- Maximum Entropy Reinforcement Learning with Diffusion PolicyDiffusion models → Diffusion and flow policies for robotics +1
All 484
- GraphThought: Graph Combinatorial Optimization with Thought GenerationLLM reasoning → Prompting and chain-of-thought reasoning
- An Actor-Critic Algorithm with Function Approximation for Risk Sensitive Cost Markov Decision ProcessesDeep reinforcement learning methods → RL theory and sample complexity
- DR.GAP: Mitigating Bias in Large Language Models using Gender-Aware Prompting with Decoupled ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Can LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation?LLM safety and security → Watermarking generated content and models +1
- Large Language Models and Mathematical Reasoning FailuresLLM reasoning → Mathematical reasoning
- InfiR : Crafting Effective Small Language Models and Multimodal Small Language Models in ReasoningLLM reasoning → Reasoning benchmarks and evaluation +1
- Towards Reasoning Ability of Small Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Continuous Diffusion Model for Language ModelingDiffusion models → Discrete and text diffusion
- Equilibrate RLHF: Towards Balancing Helpfulness-Safety Trade-off in Large Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
- Evaluating o1-Like LLMs: Unlocking Reasoning for Translation through Comprehensive AnalysisLLM reasoning → Reasoning benchmarks and evaluation
- Simulus: Combining Improvements in Sample-Efficient World Model AgentsWorld models → Latent dynamics models and model-based RL +1
- Control-CLIP: Decoupling Category and Style Guidance in CLIP for Specific-Domain GenerationDiffusion models → Image generation, text-to-image and editing
- AURORA:Automated Training Framework of Universal Process Reward Models via Ensemble Prompting and Reverse VerificationLLM reasoning → Reinforcement learning for reasoning +1
- Generative Multi-Agent Collaboration in Embodied AI: A Systematic ReviewLLM agents and tool use → Multimodal and embodied agents
- Learning to Keep a Promise: Scaling Language Model Decoding Parallelism with Learned Asynchronous DecodingEfficient LLM inference and serving → Speculative decoding
- SayAnything: Audio-Driven Lip Synchronization with Conditional Video DiffusionDiffusion models → Audio, speech and music
- Investigating Inference-time Scaling for Chain of Multi-modal Thought: A Preliminary StudyLLM reasoning → Multimodal reasoning
- Token Pruning in Multimodal Large Language Models: Are We Solving the Right Problem?Multimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Stop Looking for Important Tokens in Multimodal Language Models: Duplication Matters MoreMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Why Vision Language Models Struggle with Visual Arithmetic? Towards Enhanced Chart and Geometry UnderstandingLLM reasoning → Multimodal reasoning +1
- Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question AnsweringLLM reasoning → Knowledge- and tool-augmented reasoning
- Enhancing Offline Model-Based RL via Active Model Selection: A Bayesian Optimization PerspectiveOffline RL and imitation learning from data → Offline RL algorithms
- Learning to Sample Effective and Diverse Prompts for Text-to-Image GenerationDiffusion models → Image generation, text-to-image and editing
- FastMCTS: A Simple Sampling Strategy for Data SynthesisLLM reasoning → Test-time compute and efficient thinking +1
- Focused-DPO: Enhancing Code Generation Through Focused Preference Optimization on Error-Prone PointsLLM reasoning → Reasoning for agents, planning and code
- Adversary-Aware DPO: Enhancing Safety Alignment in Vision Language Models via Adversarial TrainingLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Connector-S: A Survey of Connectors in Multi-modal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- AGrail: A Lifelong Agent Guardrail with Effective and Adaptive Safety DetectionLLM agents and tool use → Agent threats, guardrails and governance +1
- Does RAG Really Perform Bad For Long-Context Processing?Retrieval-augmented generation → RAG pipeline design and evaluation
- Which Retain Set Matters for LLM Unlearning? A Case Study on Entity UnlearningLLM safety and security → Machine unlearning
- Learning Dexterous Bimanual Catch Skills through Adversarial-Cooperative Heterogeneous-Agent Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- SMART: Self-Aware Agent for Tool Overuse MitigationLLM reasoning → Reasoning for agents, planning and code +1
- FLAG-Trader: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial TradingLLM reasoning → Reasoning for agents, planning and code +1
- Do we Really Need Visual Instructions? Towards Visual Instruction-Free Fine-tuning for Large Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Counterfactual-Consistency Prompting for Relative Temporal Understanding in Large Language ModelsLLM reasoning → Knowledge- and tool-augmented reasoning
- TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model AgentsLLM agents and tool use → Financial trading and forecasting agents
- LayAlign: Enhancing Multilingual Reasoning in Large Language Models via Layer-Wise Adaptive Fusion and Alignment StrategyLLM reasoning → Reasoning benchmarks and evaluation
- ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language ModelsLLM agents and tool use → Tool learning and function calling
- On the Diminishing Returns of Complex Robust RAG Training in the Era of Powerful LLMsRetrieval-augmented generation → RAG robustness and adaptive retrieval
- HellaSwag-Pro: A Large-Scale Bilingual Benchmark for Evaluating the Robustness of LLMs in Commonsense ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- CCJA: Context-Coherent Jailbreak Attack for Aligned Large Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Robot Deformable Object Manipulation via NMPC-generated Demonstrations in Deep Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- RAG vs. GraphRAG: A Systematic Evaluation and Key InsightsRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Sparse Autoencoder Features for Classifications and TransferabilityMechanistic interpretability → SAE features and their applications
- GeoDANO: Geometric VLM with Domain Agnostic Vision EncoderMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Mimicking the Familiar: Dynamic Command Generation for Information Theft Attacks in LLM Tool-Learning SystemLLM agents and tool use → Agent threats, guardrails and governance
- Explorer: Scaling Exploration-driven Web Trajectory Synthesis for Multimodal Web AgentsLLM agents and tool use → Web, search, and research agents
- SAIF: A Sparse Autoencoder Framework for Interpreting and Steering Instruction Following of Language ModelsMechanistic interpretability → SAE features and their applications
- Nuclear Deployed: Analyzing Catastrophic Risks in Decision-making of Autonomous LLM AgentsLLM reasoning → Reasoning for agents, planning and code +1
- A Framework for Learning Scoring Rules in Autonomous Driving Planning SystemsEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- Inverse Flow and Consistency ModelsDiffusion models → Flow matching, time series and science
- FINCH: Locally Visualizing Higher-Order Feature Interactions in Black Box Models
- A new framework for prognostics in decentralized industries: Enhancing fairness, security, and transparency through Blockchain and Federated Learning
- Addressing Moral Uncertainty using Large Language Models for Ethical Decision-Making
- AI Mimicry and Human Dignity: Chatbot Use as a Violation of Self-Respect
- That is Unacceptable: the Moral Foundations of Canceling
- Investigating Role of Personal Factors in Shaping Responses to Active Shooter Incident using Machine Learning
- zScore: A Universal Decentralised Reputation System for the Blockchain Economy
- Efficient Finetuning for Dimensional Speech Emotion Recognition in the Age of Transformers
- Towards Environment-Sensitive Molecular Inference via Mixed Integer Linear Programming
- Event-based Solutions for Human-centered Applications: A Comprehensive Review
- LLM4EFFI: Leveraging Large Language Models to Enhance Code Efficiency and Correctness
- Pretraining Frequency Predicts Compositional Generalization of CLIP on Real-World Tasks
- VANPY: Voice Analysis Framework
- Frequency-Aware Masked Autoencoders for Human Activity Recognition using Accelerometers
- Fusion of ECG Foundation Model Embeddings to Improve Early Detection of Acute Coronary Syndromes
- Model-free system identification of surface ships in waves via Hankel dynamic mode decomposition with control
- Feature Engineering Approach to Building Load Prediction: A Case Study for Commercial Building Chiller Plant Optimization in Tropical Weather
- One for All: A General Framework of LLMs-based Multi-Criteria Decision Making on Human Expert Level
- TSS GAZ PTP: Towards Improving Gumbel AlphaZero with Two-stage Self-play for Multi-constrained Electric Vehicle Routing Problems
- Logic.py: Bridging the Gap between LLMs and Constraint Solvers
- Market-Derived Financial Sentiment Analysis: Context-Aware Language Models for Crypto Forecasting
- High-Dynamic Radar Sequence Prediction for Weather Nowcasting Using Spatiotemporal Coherent Gaussian Representation
- FOCUS on Contamination: Hydrology-Informed Noise-Aware Learning for Geospatial PFAS Mapping
- NOTA: Multimodal Music Notation Understanding for Visual Large Language Model
- EgoSpeak: Learning When to Speak for Egocentric Conversational Agents in the Wild
- Diverse Topology Optimization using Modulated Neural Fields
- Web Phishing Net (WPN): A scalable machine learning approach for real-time phishing campaign detection
- SmartLLM: Smart Contract Auditing using Custom Generative AI
- Large Language Models Can Help Mitigate Barren Plateaus in Quantum Neural Networks
- Multi-Agent Actor-Critic Generative AI for Query Resolution and Analysis
- Time-series attribution maps with regularized contrastive learning
- Achieving Upper Bound Accuracy of Joint Training in Continual Learning
- Bridging the Data Gap in AI Reliability Research and Establishing DR-AIR, a Comprehensive Data Repository for AI Reliability
- Scalable Back-Propagation-Free Training of Optical Physics-Informed Neural Networks
- Hybrid Machine Learning Models for Intrusion Detection in IoT: Leveraging a Real-World IoT Dataset
- Linear Diffusion Networks
- OCT Data is All You Need: How Vision Transformers with and without Pre-training Benefit Imaging
- Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and Challenges
- Alignment and Adversarial Robustness: Are More Human-Like Models More Secure?
- Soft Robotics for Search and Rescue: Advancements, Challenges, and Future Directions
- Factual Inconsistency in Data-to-Text Generation Scales Exponentially with LLM Size: A Statistical Validation
- Positional Encoding in Transformer-Based Time Series Models: A Survey
- ScriptoriumWS: A Code Generation Assistant for Weak Supervision
- A Pathwise Coordinate Descent Algorithm for LASSO Penalized Quantile Regression
- Classifiers of Data Sharing Statements in Clinical Trial Records
- ConFit v2: Improving Resume-Job Matching using Hypothetical Resume Embedding and Runner-Up Hard-Negative Mining
- Detecting Systematic Weaknesses in Vision Models along Predefined Human-Understandable Dimensions
- Human-centered explanation does not fit all: The interplay of sociotechnical, cognitive, and individual factors in the effect AI explanations in algorithmic decision-making
- Stability-based Generalization Bounds for Variational Inference
- QuZO: Quantized Zeroth-Order Fine-Tuning for Large Language Models
- Understanding Silent Data Corruption in LLM Training
- A Novel Unified Parametric Assumption for Nonconvex Optimization
- LM Agents for Coordinating Multi-User Information Gathering
- Learning Plasma Dynamics and Robust Rampdown Trajectories with Predict-First Experiments at TCV
- Stability Bounds for Smooth Optimal Transport Maps and their Statistical Implications
- From Dense to Dynamic: Token-Difficulty Driven MoEfication of Pre-Trained LLMs
- Adversarial Debiasing for Unbiased Parameter Recovery
- Can Language Models Learn Typologically Implausible Languages?
- Mean-Field Bayesian Optimisation
- Warmup Generations: A Task-Agnostic Approach for Guiding Sequence-to-Sequence Learning with Unsupervised Initial State Generation
- From Gaming to Research: GTA V for Synthetic Data Generation for Robotics and Navigations
- Chaotic Map based Compression Approach to Classification
- SMOL: Professionally translated parallel data for 115 under-represented languages
- Per-channel autoregressive linear prediction padding in tiled CNN processing of 2D spatial data
- Symmetric Rank-One Quasi-Newton Methods for Deep Learning Using Cubic Regularization
- Duo Streamers: A Streaming Gesture Recognition Framework
- On the Computational Tractability of the (Many) Shapley Values
- Data-Efficient Limited-Angle CT Using Deep Priors and Regularization
- Independence Tests for Language Models
- Towards Practical First-Order Model Counting
- Healthcare cost prediction for heterogeneous patient profiles using deep learning models with administrative claims data
- Modeling Narrative Structure in Latin Epic Poetry with Automatically Generated Story Grammars
- NeuroStrata: Harnessing Neurosymbolic Paradigms for Improved Design, Testability, and Verifiability of Autonomous CPS
- Multi-dimensional Test Design
- SmokeNet: Efficient Smoke Segmentation Leveraging Multiscale Convolutions and Multiview Attention Mechanisms
- On the Learnability of Knot Invariants: Representation, Predictability, and Neural Similarity
- PUGS: Zero-shot Physical Understanding with Gaussian Splatting
- Identifying the Best Transition Law
- Creating a Causally Grounded Rating Method for Assessing the Robustness of AI Models for Time-Series Forecasting
- Subjective Logic Encodings
- GLoT: A Novel Gated-Logarithmic Transformer for Efficient Sign Language Translation
- IMPACTX: improving model performance by appropriately constraining the training with teacher explanations
- Towards Efficient Molecular Property Optimization with Graph Energy Based Models
- Optimal Brain Iterative Merging: Mitigating Interference in LLM Merging
- Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting
- Suboptimal Shapley Value Explanations
- Learning Getting-Up Policies for Real-World Humanoid Robots
- VoLUT: Efficient Volumetric streaming enhanced by LUT-based super-resolution
- Idiosyncrasies in Large Language Models
- Learning Smooth and Expressive Interatomic Potentials for Physical Property Prediction
- FLARE: Feed-forward Geometry, Appearance and Camera Estimation from Uncalibrated Sparse Views
- REVERSUM: A Multi-staged Retrieval-Augmented Generation Method to Enhance Wikipedia Tail Biographies through Personal Narratives
- MagicArticulate: Make Your 3D Models Articulation-Ready
- LaM-SLidE: Latent Space Modeling of Spatial Dynamical Systems via Linked Entities
- Hypernym Bias: Unraveling Deep Classifier Training Dynamics through the Lens of Class Hierarchy
- Minimal Ranks, Maximum Confidence: Parameter-efficient Uncertainty Quantification for LoRA
- LLMs on the Line: Data Determines Loss-to-Loss Scaling Laws
- SWE-Lancer: Can Frontier LLMs Earn 1 Million from Real-World Freelance Software Engineering?
- A Monocular Event-Camera Motion Capture System
- Generative Personality Simulation via Theory-Informed Structured Interview
- Using the Path of Least Resistance to Explain Deep Networks
- Relational Norms for Human-AI Cooperation
- Token Communications: A Large Model-Driven Framework for Cross-modal Context-aware Semantic Communications
- Meta-Statistical Learning: Supervised Learning of Statistical Estimators
- Unifying Explainable Anomaly Detection and Root Cause Analysis in Dynamical Systems
- APB: Accelerating Distributed Long-Context Inference by Passing Compressed Context Blocks across GPUs
- VLM2-Bench: A Closer Look at How Well VLMs Implicitly Link Explicit Matching Visual Cues
- AdaSplash: Adaptive Sparse Flash Attention
- Unhackable Temporal Rewarding for Scalable Video MLLMs
- Can LLMs Simulate Social Media Engagement? A Study on Action-Guided Response Generation
- CONSTRUCTA: Automating Commercial Construction Schedules in Fabrication Facilities with Large Language Models
- Autoformalization in the Wild: Assessing LLMs on Real-World Mathematical Definitions
- AI-generated Text Detection with a GLTR-based Approach
- Low-Rank Thinning
- Culture is Not Trivia: Sociocultural Theory for Cultural NLP
- Designing Role Vectors to Improve LLM Inference Behaviour
- A Dual-Perspective NLG Meta-Evaluation Framework with Automatic Benchmark and Better Interpretability
- How to Upscale Neural Networks with Scaling Law? A Survey and Practical Guidelines
- SpeechT: Findings of the First Mentorship in Speech Translation
- Classifying the Stoichiometry of Virus-like Particles with Interpretable Machine Learning
- The geometry of BERT
- Masked Latent Prediction and Classification for Self-Supervised Audio Representation Learning
- Enhancing Transparent Object Pose Estimation: A Fusion of GDR-Net and Edge Detection
- Unsupervised Structural-Counterfactual Generation under Domain Shift
- Reconfigurable Intelligent Surfaces-Assisted Integrated Access and Backhaul
- Demographic Attributes Prediction from Speech Using WavLM Embeddings
- Improved Wildfire Spread Prediction with Time-Series Data and the WSTS+ Benchmark
- NaturalL2S: End-to-End High-quality Multispeaker Lip-to-Speech Synthesis with Differential Digital Signal Processing
- Merging Language and Domain Specific Models: The Impact on Technical Vocabulary Acquisition
- Presumed Cultural Identity: How Names Shape LLM Responses
- MultiFlow: A unified deep learning framework for multi-vessel classification, segmentation and clustering of phase-contrast MRI validated on a multi-site single ventricle patient cohort
- On the Logic Elements Associated with Round-Off Errors and Gaussian Blur in Image Registration: A Simple Case of Commingling
- Selective Task Group Updates for Multi-Task Optimization
- Welfare as a Guiding Principle for Machine Learning -- From Compass, to Lens, to Roadmap
- Generating Text from Uniform Meaning Representation
- Robust 6DoF Pose Tracking Considering Contour and Interior Correspondence Uncertainty for AR Assembly Guidance
- A MIMO Wireless Channel Foundation Model via CIR-CSI Consistency
- Balancing Truthfulness and Informativeness with Uncertainty-Aware Instruction Fine-Tuning
- pySLAM: An Open-Source, Modular, and Extensible Framework for SLAM
- Refined PAC-Bayes Bounds for Offline Bandits
- Quantum Data Encoding and Variational Algorithms: A Framework for Hybrid Quantum Classical Machine Learning
- HalluEntity: Benchmarking and Understanding Entity-Level Hallucination Detection
- Step-Audio: Unified Understanding and Generation in Intelligent Speech Interaction
- Sharp-PINNs: staggered hard-constrained physics-informed neural networks for phase field modelling of corrosion
- Deep Spatio-Temporal Neural Network for Air Quality Reanalysis
- On Representational Dissociation of Language and Arithmetic in Large Language Models
- Continual Learning Should Move Beyond Incremental Classification
- BRIGHTER: BRIdging the Gap in Human-Annotated Textual Emotion Recognition Datasets for 28 Languages
- From Text to Trust: Empowering AI-assisted Decision Making with Adaptive LLM-powered Analysis
- VLP: Vision-Language Preference Learning for Embodied Manipulation
- On the robustness of ChatGPT in teaching Korean Mathematics
- PreAdaptFWI: Pretrained-Based Adaptive Residual Learning for Full-Waveform Inversion Without Dataset Dependency
- Adversarial Alignment for LLMs Requires Simpler, Reproducible, and More Measurable Objectives
- Ansatz-free Hamiltonian learning with Heisenberg-limited scaling
- DLFR-VAE: Dynamic Latent Frame Rate VAE for Video Generation
- CAMEL: Continuous Action Masking Enabled by Large Language Models for Reinforcement Learning
- Continual Quantization-Aware Pre-Training: When to transition from 16-bit to 1.58-bit pre-training for BitNet language models?
- Rethinking Benign Overfitting in Two-Layer Neural Networks
- From Open-Vocabulary to Vocabulary-Free Semantic Segmentation
- Revisiting Classification Taxonomy for Grammatical Errors
- Stonefish: Supporting Machine Learning Research in Marine Robotics
- Bitnet.cpp: Efficient Edge Inference for Ternary LLMs
- JoLT: Joint Probabilistic Predictions on Tabular Data Using LLMs
- VAQUUM: Are Vague Quantifiers Grounded in Visual Data?
- Southern Newswires: A Large-Scale Study of Mid-Century Wire Content Beyond the Front Page
- FedEAT: A Robustness Optimization Framework for Federated LLMs
- Understanding In-Context Machine Translation for Low-Resource Languages: A Case Study on Manchu
- Exploring Large Language Models in Healthcare: Insights into Corpora Sources, Customization Strategies, and Evaluation Metrics
- Rethinking Audio-Visual Adversarial Vulnerability from Temporal and Modality Perspectives
- LLMs as a synthesis between symbolic and distributed approaches to language
- Enhanced Anomaly Detection in IoMT Networks using Ensemble AI Models on the CICIoMT2024 Dataset
- Steering the LoCoMotif: Using Domain Knowledge in Time Series Motif Discovery
- BaxBench: Can LLMs Generate Correct and Secure Backends?
- ChordFormer: A Conformer-Based Architecture for Large-Vocabulary Audio Chord Recognition
- Model Generalization on Text Attribute Graphs: Principles with Large Language Models
- Neural Chaos: A Spectral Stochastic Neural Operator
- Intuitive physics understanding emerges from self-supervised pretraining on natural videos
- Text Classification in the LLM Era -- Where do we stand?
- Bi-invariant Geodesic Regression with Data from the Osteoarthritis Initiative
- M-ABSA: A Multilingual Dataset for Aspect-Based Sentiment Analysis
- Assessing the impacts of tradable credit schemes through agent-based simulation
- AAKT: Enhancing Knowledge Tracing with Alternate Autoregressive Modeling
- Mixing It Up: Exploring Mixer Networks for Irregular Multivariate Time Series Forecasting
- Towards Understanding Fine-Tuning Mechanisms of LLMs via Circuit Analysis
- Geometric Origins of Bias in Deep Neural Networks: A Human Visual System Perspective
- Exploring the Translation Mechanism of Large Language Models
- 3D Gaussian Inpainting with Depth-Guided Cross-View Consistency
- Personality Editing for Language Models through Adjusting Self-Referential Queries
- Efficient Response Generation Strategy Selection for Fine-Tuning Large Language Models Through Self-Aligned Perplexity
- Private Synthetic Graph Generation and Fused Gromov-Wasserstein Distance
- Deep Neural Networks for Accurate Depth Estimation with Latent Space Features
- Interpretable Machine Learning for Kronecker Coefficients
- The Validation Gap: A Mechanistic Analysis of How Language Models Compute Arithmetic but Fail to Validate It
- From Selection to Generation: A Survey of LLM-based Active Learning
- Lightweight Deepfake Detection Based on Multi-Feature Fusion
- On the Computation of the Fisher Information in Continual Learning
- HintsOfTruth: A Multimodal Checkworthiness Detection Dataset with Real and Synthetic Claims
- JotlasNet: Joint Tensor Low-Rank and Attention-based Sparse Unrolling Network for Accelerating Dynamic MRI
- Robust Partial-Label Learning by Leveraging Class Activation Values
- Range and Bird's Eye View Fused Cross-Modal Visual Place Recognition
- ReviewEval: An Evaluation Framework for AI-Generated Reviews
- Plant in Cupboard, Orange on Rably, Inat Aphone. Benchmarking Incremental Learning of Situation and Language Model using a Text-Simulated Situated Environment
- GraphMorph: Tubular Structure Extraction by Morphing Predicted Graphs
- No-reference geometry quality assessment for colorless point clouds via list-wise rank learning
- Adversarially Robust CLIP Models Can Induce Better (Robust) Perceptual Metrics
- Incomplete Modality Disentangled Representation for Ophthalmic Disease Grading and Diagnosis
- Energy-Conscious LLM Decoding: Impact of Text Generation Strategies on GPU Energy Consumption
- Proactive Depot Discovery: A Generative Framework for Flexible Location-Routing
- Component-aware Unsupervised Logical Anomaly Generation for Industrial Anomaly Detection
- Knowledge-aware contrastive heterogeneous molecular graph learning
- The Worse The Better: Content-Aware Viewpoint Generation Network for Projection-related Point Cloud Quality Assessment
- Ad-hoc Concept Forming in the Game Codenames as a Means for Evaluating Large Language Models
- CMQCIC-Bench: A Chinese Benchmark for Evaluating Large Language Models in Medical Quality Control Indicator Calculation
- From Isolates to Families: Using Neural Networks for Automated Language Affiliation
- ReVeil: Unconstrained Concealed Backdoor Attack on Deep Neural Networks using Machine Unlearning
- Double Momentum and Error Feedback for Clipping with Fast Rates and Differential Privacy
- Spectral structure learning for clinical time series
- Which Type of Students can LLMs Act? Investigating Authentic Simulation with Graph-based Human-AI Collaborative System
- Towards Fully Exploiting LLM Internal States to Enhance Knowledge Boundary Perception
- Best of Both Worlds: Regret Minimization versus Minimax Play
- Exact Upper and Lower Bounds for the Output Distribution of Neural Networks with Random Inputs
- Diversity-oriented Data Augmentation with Large Language Models
- Deep Subspace Learning for Surface Anomaly Classification Based on 3D Point Cloud Data
- A Variational Analysis of Kernel Learning with Learnable Linear Transformations
- VRoPE: Rotary Position Embedding for Video Large Language Models
- "I'm not for sale" -- Perceptions and limited awareness of privacy risks by digital natives about location data
- How does ion temperature gradient turbulence depend on magnetic geometry? Insights from data and machine learning
- TextOCVP: Object-Centric Video Prediction with Language Guidance
- Hyper-SET: Designing Transformers via Hyperspherical Energy Minimization
- Deviation Ratings: A General, Clone-Invariant Rating Method
- InTec: integrated things-edge computing: a framework for distributing machine learning pipelines in edge AI systems
- GaussianMotion: End-to-End Learning of Animatable Gaussian Avatars with Pose Guidance from Text
- Neural Interpretable Reasoning
- Safeguarding AI in Medical Imaging: Post-Hoc Out-of-Distribution Detection with Normalizing Flows
- CLASS: Enhancing Cross-Modal Text-Molecule Retrieval Performance and Training Efficiency
- Real-time Neural Rendering of LiDAR Point Clouds
- In-Context Parametric Inference: Point or Distribution Estimators?
- Is Human-Like Text Liked by Humans? Multilingual Human Detection and Preference Against AI
- Identifying Gender Stereotypes and Biases in Automated Translation from English to Italian using Similarity Networks
- Exploiting Task Relationships in Continual Learning via Transferability-Aware Task Embeddings
- LLM Embeddings for Deep Learning on Tabular Data
- iMOVE: Instance-Motion-Aware Video Understanding
- A Unified Modeling Framework for Automated Penetration Testing
- Syllables to Scenes: Literary-Guided Free-Viewpoint 3D Scene Synthesis from Japanese Haiku
- Calibration of Vehicular Traffic Simulation Models by Local Optimization
- Distributional Autoencoders Know the Score
- Language Complexity Measurement as a Noisy Zero-Shot Proxy for Evaluating LLM Performance
- FaMTEB: Massive Text Embedding Benchmark in Persian Language
- Towards a Trustworthy Anomaly Detection for Critical Applications through Approximated Partial AUC Loss
- Leader and Follower: Interactive Motion Generation under Trajectory Constraints
- Reinforced Information Retrieval
- A Survey of Automatic Prompt Engineering: An Optimization Perspective
- Auto-Search and Refinement: An Automated Framework for Gender Bias Mitigation in Large Language Models
- Toward Metaphor-Fluid Conversation Design for Voice User Interfaces
- DCAD-2000: A Multilingual Dataset across 2000+ Languages with Data Cleaning as Anomaly Detection
- MuSC: Improving Complex Instruction Following with Multi-granularity Self-Contrastive Training
- SurgPose: a Dataset for Articulated Robotic Surgical Tool Pose Estimation and Tracking
- Be Cautious When Merging Unfamiliar LLMs: A Phishing Model Capable of Stealing Privacy
- A Survey of Personalized Large Language Models: Progress and Future Directions
- Beyond Single-Task: Robust Multi-Task Length Generalization for LLMs
- Detecting Various DeFi Price Manipulations with LLM Reasoning
- UniGO: A Unified Graph Neural Network for Modeling Opinion Dynamics on Graphs
- MaZO: Masked Zeroth-Order Optimization for Multi-Task Fine-Tuning of Large Language Models
- DifCluE: Generating Counterfactual Explanations with Diffusion Autoencoders and modal clustering
- Chinese Spelling Correction: A Comprehensive Survey of Progress, Challenges, and Opportunities
- Learning Surrogate Potential Mean Field Games via Gaussian Processes: A Data-Driven Approach to Ill-Posed Inverse Problems
- Graph Neural Network-based Spectral Filtering Mechanism for Imbalance Classification in Network Digital Twin
- Accelerated Gradient-based Design Optimization Via Differentiable Physics-Informed Neural Operator: A Composites Autoclave Processing Case Study
- Balanced Multi-Factor In-Context Learning for Multilingual Large Language Models
- DAST: Context-Aware Compression in LLMs via Dynamic Allocation of Soft Tokens
- GPU-accelerated Multi-relational Parallel Graph Retrieval for Web-scale Recommendations
- Dictionary-Learning-Based Data Pruning for System Identification
- No-regret incentive-compatible online learning under exact truthfulness with non-myopic experts
- DATA: Decomposed Attention-based Task Adaptation for Rehearsal-Free Continual Learning
- Variable-frame CNNLSTM for Breast Nodule Classification using Ultrasound Videos
- Throat and acoustic paired speech dataset for deep learning-based speech enhancement
- GLTW: Joint Improved Graph Transformer and LLM via Three-Word Language for Knowledge Graph Completion
- Optimized detection of cyber-attacks on IoT networks via hybrid deep learning models
- If Attention Serves as a Cognitive Model of Human Memory Retrieval, What is the Plausible Memory Representation?
- Semantically Robust Unsupervised Image Translation for Paired Remote Sensing Images
- Approximation of Permutation Invariant Polynomials by Transformers: Efficient Construction in Column-Size
- GiFT: Gibbs Fine-Tuning for Code Generation
- All Models Are Miscalibrated, But Some Less So: Comparing Calibration with Conditional Mean Operators
- LMFCA-Net: A Lightweight Model for Multi-Channel Speech Enhancement with Efficient Narrow-Band and Cross-Band Attention
- UnitCoder: Scalable Iterative Code Synthesis with Unit Test Guidance
- Towards Efficient Pre-training: Exploring FP4 Precision in Large Language Models
- Aligning Sentence Simplification with ESL Learner's Proficiency for Language Acquisition
- Leveraging Labelled Data Knowledge: A Cooperative Rectification Learning Network for Semi-supervised 3D Medical Image Segmentation
- UniCBE: An Uniformity-driven Comparing Based Evaluation Framework with Unified Multi-Objective Optimization
- From Personas to Talks: Revisiting the Impact of Personas on LLM-Synthesized Emotional Support Conversations
- What Scalable Second-Order Information Knows for Pruning at Initialization
- Does Editing Provide Evidence for Localization?
- Multi-Turn Multi-Modal Question Clarification for Enhanced Conversational Understanding
- Medical Image Registration Meets Vision Foundation Model: Prototype Learning and Contour Awareness
- An Efficient Sparse Fine-Tuning with Low Quantization Error via Neural Network Pruning
- SAFE-SQL: Self-Augmented In-Context Learning with Fine-grained Example Selection for Text-to-SQL
- ADO: Automatic Data Optimization for Inputs in LLM Prompts
- Any Information Is Just Worth One Single Screenshot: Unifying Search With Visualized Information Retrieval
- What's in a Query: Polarity-Aware Distribution-Based Fair Ranking
- Exploring Persona Sentiment Sensitivity in Personalized Dialogue Generation
- Planning of Heuristics: Strategic Planning on Large Language Models with Monte Carlo Tree Search for Automating Heuristic Optimization
- Training-Free Guidance Beyond Differentiability: Scalable Path Steering with Tree Search in Diffusion and Flow Models
- InsBank: Evolving Instruction Subset for Ongoing Alignment
- DiSCo: Device-Server Collaborative LLM-Based Text Streaming Services
- Statistical Query Hardness of Multiclass Linear Classification with Random Classification Noise
- Detecting and Filtering Unsafe Training Data via Data Attribution with Denoised Representation
- Structure based SAT dataset for analysing GNN generalisation
- Precise GPS-Denied UAV Self-Positioning via Context-Enhanced Cross-View Geo-Localization
- Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment
- A Signed Graph Approach to Understanding and Mitigating Oversmoothing in GNNs
- MARS: Mesh AutoRegressive Model for 3D Shape Detailization
- RoleMRC: A Fine-Grained Composite Benchmark for Role-Playing and Instruction-Following
- Intelligent Mobile AI-Generated Content Services via Interactive Prompt Engineering and Dynamic Service Provisioning
- A Physics-Informed Blur Learning Framework for Imaging Systems
- Without Paired Labeled Data: End-to-End Self-Supervised Learning for Drone-view Geo-Localization
- From the New World of Word Embeddings: A Comparative Study of Small-World Lexico-Semantic Networks in LLMs
- PrivilegedDreamer: Explicit Imagination of Privileged Information for Rapid Adaptation of Learned Policies
- Physics-Informed Gaussian Process Classification for Constraint-Aware Alloy Design
- LLMs can Perform Multi-Dimensional Analytic Writing Assessments: A Case Study of L2 Graduate-Level Academic English Writing
- Blessing of Multilinguality: A Systematic Analysis of Multilingual In-Context Learning
- Teleportation With Null Space Gradient Projection for Optimization Acceleration
- VLDBench Evaluating Multimodal Disinformation with Regulatory Alignment
- Biases in Edge Language Models: Detection, Analysis, and Mitigation
- Hierarchical Graph Topic Modeling with Topic Tree-based Transformer
- S2TX: Cross-Attention Multi-Scale State-Space Transformer for Time Series Forecasting
- WRT-SAM: Foundation Model-Driven Segmentation for Generalized Weld Radiographic Testing
- A Comparison of Human and Machine Learning Errors in Face Recognition
- ExaGPT: Example-Based Machine-Generated Text Detection for Human Interpretability
- Transfer Learning of CATE with Kernel Ridge Regression
- System Message Generation for User Preferences using Open-Source Models
- Differentially private fine-tuned NF-Net to predict GI cancer type
- Robust High-Dimensional Mean Estimation With Low Data Size, an Empirical Study
- A statistical theory of overfitting for imbalanced classification