Papers
Tue 25 Feb 2025
369 papers
- Comparative Analysis Based on DeepSeek, ChatGPT, and Google Gemini: Features, Techniques, Performance, Future ProspectsLLM reasoning → Reasoning benchmarks and evaluation +1
- FairGen: Controlling Sensitive Attributes for Fair Generations in Diffusion Models via Adaptive Latent GuidanceDiffusion models → Image generation, text-to-image and editing
- Guiding not Forcing: Enhancing the Transferability of Jailbreaking Attacks on LLMs via Removing Superfluous ConstraintsLLM safety and security → Jailbreaking
- Larger or Smaller Reward Margins to Select Preferences for Alignment?LLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- VOILA: Evaluation of MLLMs For Perceptual Understanding and Analogical ReasoningLLM reasoning → Multimodal reasoning +1
- from Benign import Toxic: Jailbreaking the Language Model via Adversarial MetaphorsLLM safety and security → Jailbreaking
- Zero-Shot Defense Against Toxic Images via Inherent Multimodal Alignment in LVLMsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Efficient Test-Time Scaling via Self-CalibrationLLM reasoning → Test-time compute and efficient thinking
- A Cooperative Multi-Agent Framework for Zero-Shot Named Entity RecognitionLLM agents and tool use → General LLM agent frameworks and benchmarks
- MPO: An Efficient Post-Processing Framework for Mixing Diverse Preference AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Policy-as-Prompt: Rethinking Content Moderation in the Age of Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Adaptive conditional latent diffusion maps beam loss to 2D phase space projectionsDiffusion models → Flow matching, time series and science
- Discriminative Finetuning of Generative Large Language Models without Reward Models and Human Preference DataLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- CayleyPy RL: Pathfinding and Reinforcement Learning on Cayley GraphsDeep reinforcement learning methods → RL for games and combinatorial optimization
- Provably Efficient RL for Linear MDPs under Instantaneous Safety Constraints in Non-Convex Feature SpacesDeep reinforcement learning methods → RL theory and sample complexity
- Independent Mobility GPT (IDM-GPT): A Self-Supervised Multi-Agent Large Language Model Framework for Customized Traffic Mobility Analysis Using Machine Learning ModelsLLM agents and tool use → Multimodal and embodied agents
- Faster, Cheaper, Better: Multi-Objective Hyperparameter Optimization for LLM and RAG SystemsRetrieval-augmented generation → RAG pipeline design and evaluation
- Diffusion Models for conditional MRI generationDiffusion models → Medical imaging and segmentation
- Breaking Distortion-free Watermarks in Large Language ModelsLLM safety and security → Watermarking generated content and models
- Chain of Draft: Thinking Faster by Writing LessLLM reasoning → Prompting and chain-of-thought reasoning
- Scalable Best-of-N Selection for Large Language Models via Self-CertaintyLLM reasoning → Test-time compute and efficient thinking +1
- FactReasoner: A Probabilistic Approach to Long-Form Factuality Assessment for Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
- ARBoids: Adaptive Residual Reinforcement Learning With Boids Model for Cooperative Multi-USV Target DefenseDeep reinforcement learning methods → RL for robot navigation and UAV control
- What is the Alignment Objective of GRPO?LLM alignment / RLHF / preference optimisation → Process reward models for reasoning
- MA-GTS: A Multi-Agent Framework for Solving Complex Graph Problems in Real-World ApplicationsLLM agents and tool use → Web, search, and research agents
- FilterRAG: Zero-Shot Informed Retrieval-Augmented Generation to Mitigate Hallucinations in VQARetrieval-augmented generation → Multimodal RAG
- CuDIP: Enhancing Theorem Proving in LLMs via Curriculum Learning-based Direct Preference OptimizationLLM reasoning → Mathematical reasoning +1
- FRIDA to the Rescue! Analyzing Synthetic Data Effectiveness in Object-Based Common Sense Reasoning for Disaster ResponseLLM reasoning → Spatial and embodied reasoning +1
- SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software EvolutionLLM reasoning → Reinforcement learning for reasoning
- olmOCR: Unlocking Trillions of Tokens in PDFs with Vision Language ModelsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- MAPoRL: Multi-Agent Post-Co-Training for Collaborative Large Language Models with Reinforcement LearningLLM reasoning → Reasoning for agents, planning and code +1
- ToMCAT: Theory-of-Mind for Cooperative Agents in Teams via Multiagent Diffusion PoliciesDiffusion models → Diffusion and flow policies for robotics
- What Makes the Preferred Thinking Direction for LLMs in Multiple-choice Questions?LLM reasoning → Reasoning benchmarks and evaluation
- TextGames: Learning to Self-Play Text-Based Puzzle Games via Language Model ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- Rank1: Test-Time Compute for Reranking in Information RetrievalLLM reasoning → Knowledge- and tool-augmented reasoning
- OmniAlign-V: Towards Enhanced Alignment of MLLMs with Human PreferenceMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- AgentRM: Enhancing Agent Generalization with Reward ModelingLLM agents and tool use → Reinforcement learning for LLM agents +1
- KiRAG: Knowledge-Driven Iterative Retriever for Enhancing Retrieval-Augmented GenerationRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- WebGames: Challenging General-Purpose Web-Browsing AI AgentsLLM agents and tool use → Web, search, and research agents
- RefuteBench 2.0 -- Agentic Benchmark for Dynamic Evaluation of LLM Responses to Refutation InstructionLLM agents and tool use → General LLM agent frameworks and benchmarks
- LDGen: Enhancing Text-to-Image Synthesis via Large Language Model-Driven Language RepresentationDiffusion models → Image generation, text-to-image and editing
- AMPO: Active Multi-Preference Optimization for Self-play Preference SelectionLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
- Stealthy Backdoor Attack in Self-Supervised Learning Vision Encoders for Large Vision Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Citrus: Leveraging Expert Cognitive Pathways in a Medical Language Model for Advanced Medical Decision SupportLLM reasoning → Clinical and biomedical applications
- Unveiling and Causalizing CoT: A Causal PespectiveLLM reasoning → Prompting and chain-of-thought reasoning
- Debt Collection Negotiations with Large Language Models: An Evaluation System and Optimizing Decision Making with Multi-AgentLLM agents and tool use → Financial trading and forecasting agents
- Synthesizing Consistent Novel Views via 3D Epipolar Attention without Re-TrainingDiffusion models → 3D, point cloud and scene generation
- Intersubjective Model of AI-mediated Communication: Augmenting Human-Human Text Chat through LLM-based Adaptive Agent PairLLM agents and tool use → General LLM agent frameworks and benchmarks
- VCT: Training Consistency Models with Variational Noise CouplingDiffusion models → Diffusion foundations and sampling
- Multi-Perspective Data Augmentation for Few-shot Object DetectionDiffusion models → Image generation, text-to-image and editing
- Steering Language Model to Stable Speech Emotion Recognition via Contextual Perception and Chain of ThoughtLLM reasoning → Audio-language model reasoning
- ChatMotion: A Multimodal Multi-Agent for Human Motion AnalysisMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Jacobian Sparse Autoencoders: Sparsify Computations, Not Just ActivationsMechanistic interpretability → Sparse autoencoder training and evaluation
- Carbon and Silicon, Coexist or Compete? A Survey on Human-AI Interactions in Agent-based Modeling and SimulationLLM agents and tool use → General LLM agent frameworks and benchmarks
- LevelRAG: Enhancing Retrieval-Augmented Generation with Multi-hop Logic Planning over Rewriting Augmented SearchersRetrieval-augmented generation → RAG pipeline design and evaluation
- Large Language Model Driven Agents for Simulating Echo Chamber FormationLLM agents and tool use → Social simulation and multi-agent debate
- Controlling dynamics of stochastic systems with deep reinforcement learningDeep reinforcement learning methods → RL theory and sample complexity
- Uncertainty Quantification in Retrieval Augmented Question AnsweringRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Detecting Offensive Memes with Social Biases in Singapore Context Using Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Stackelberg Self-Annotation: A Robust Approach to Data-Efficient LLM AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Towards Thinking-Optimal Scaling of Test-Time Compute for LLM ReasoningLLM reasoning → Test-time compute and efficient thinking
- Recursive Learning Without Collapse: A Weighting-Based Stabilization FrameworkSynthetic data and self-improvement for LLMs → Model collapse from synthetic data
- VLM-E2E: Enhancing End-to-End Autonomous Driving with Multimodal Driver Attention FusionEnd-to-end autonomous driving → VLMs for autonomous driving
- AfroXLMR-Comet: Multilingual Knowledge Distillation with Attention Matching for Low-Resource languagesKnowledge distillation → Knowledge distillation for LLMs
- ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning AgentsRetrieval-augmented generation → Multimodal RAG
- Unveiling the Key Factors for Distilling Chain-of-Thought ReasoningLLM reasoning → Prompting and chain-of-thought reasoning +1
- Thinking like a CHEMIST: Combined Heterogeneous Embedding Model Integrating Structure and TokensLLM reasoning → Clinical and biomedical applications
- Provable Performance Bounds for Digital Twin-driven Deep Reinforcement Learning in Wireless Networks: A Novel Digital-Twin Bisimulation MetricDeep reinforcement learning methods → RL for energy, networks and operations
- Agent Trading Arena: A Study on Numerical Understanding in LLM-Based AgentsLLM agents and tool use → Financial trading and forecasting agents
- On Synthetic Data Strategies for Domain-Specific Generative RetrievalSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- Towards Better Understanding of Program-of-Thought Reasoning in Cross-Lingual and Multilingual EnvironmentsLLM reasoning → Reasoning benchmarks and evaluation
- Robust Polyp Detection and Diagnosis through Compositional Prompt-Guided Diffusion ModelsDiffusion models → Medical imaging and segmentation
- InVDriver: Intra-Instance Aware Vectorized Query-Based Autonomous Driving TransformerEnd-to-end autonomous driving → End-to-end system architecture
- DeepSeek-R1 Outperforms Gemini 2.0 Pro, OpenAI o1, and o3-mini in Bilingual Complex Ophthalmology ReasoningLLM reasoning → Clinical and biomedical applications
- Assessing Agentic Large Language Models in Multilingual National BiasLLM agents and tool use → Social simulation and multi-agent debate
- Structure-prior Informed Diffusion Model for Graph Source Localization with Limited DataDiffusion models → Flow matching, time series and science
- Advantage-Guided Distillation for Preference Alignment in Small Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
- LeanProgress: Guiding Search for Neural Theorem Proving via Proof Progress PredictionLLM reasoning → Mathematical reasoning
- FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language ModelsLLM agents and tool use → Web, search, and research agents
- Towards Sustainable Web Agents: A Plea for Transparency and Dedicated Metrics for Energy ConsumptionLLM agents and tool use → Web, search, and research agents
- RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-ThoughtsLLM reasoning → Knowledge- and tool-augmented reasoning +1
- VVRec: Reconstruction Attacks on DL-based Volumetric Video Upstreaming via Latent Diffusion Model with Gamma DistributionDiffusion models → 3D, point cloud and scene generation
- Neural Graph Matching Improves Retrieval Augmented Generation in Molecular Machine LearningRetrieval-augmented generation → Medical and biomedical RAG
- LR^2Bench: Evaluating Long-chain Reflective Reasoning Capabilities of Large Language Models via Constraint Satisfaction ProblemsLLM reasoning → Reasoning benchmarks and evaluation
- Say Less, Mean More: Leveraging Pragmatics in Retrieval-Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- MM-PoisonRAG: Disrupting Multimodal RAG with Local and Global Poisoning AttacksMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- A General Framework to Enhance Fine-tuning-based LLM UnlearningLLM safety and security → Machine unlearning
- Can Multimodal LLMs Perform Time Series Anomaly Detection?Multimodal LLMs / vision-language models → Chart understanding and anomaly detection
- DocPuzzle: A Process-Aware Benchmark for Evaluating Realistic Long-Context Reasoning CapabilitiesLLM reasoning → Reasoning benchmarks and evaluation +1
- Your Language Model May Think Too Rigidly: Achieving Reasoning Consistency with Symmetry-Enhanced TrainingLLM reasoning → Reasoning benchmarks and evaluation
- Adaptive Nesterov Accelerated Distributional Deep Hedging for Efficient Volatility Risk ManagementDeep reinforcement learning methods → Adversarial robustness and RL in finance
- FoREST: Frame of Reference Evaluation in Spatial Reasoning TasksLLM reasoning → Spatial and embodied reasoning
- Applications of deep reinforcement learning to urban transit network designDeep reinforcement learning methods → RL for autonomous driving and traffic
- Toward 6-DOF Autonomous Underwater Vehicle Energy-Aware Position Control based on Deep Reinforcement Learning: Preliminary ResultsDeep reinforcement learning methods → RL for robot navigation and UAV control
- EnDive: A Cross-Dialect Benchmark for Fairness and Performance in Large Language Models
- VALUE: Value-Aware Large Language Model for Query Rewriting via Weighted Trie in Sponsored Search
- BoxRL-NNV: Boxed Refinement of Latin Hypercube Samples for Neural Network Verification
- Synthetic Categorical Restructuring large Or How AIs Gradually Extract Efficient Regularities from Their Experience of the World
- Physics- and data-driven Active Learning of neural network representations for free energy functions of materials from statistical mechanics
- GeoJEPA: Towards Eliminating Augmentation- and Sampling Bias in Multimodal Geospatial Learning
All 369
- Between Innovation and Oversight: A Cross-Regional Study of AI Risk Management Frameworks in the EU, U.S., UK, and China
- Complex Networks for Pattern-Based Data Classification
- A Materials Foundation Model via Hybrid Invariant-Equivariant Architectures
- Generative Artificial Intelligence: Evolving Technology, Growing Societal Impact, and Opportunities for Information Systems Research
- Effect of Gender Fair Job Description on Generative AI Images
- A Collection of Innovations in Medical AI for patient records in 2024
- SMT(LIA) Sampling with High Diversity
- Data Augmentation for Instruction Following Policies via Trajectory Segmentation
- Transforming the Voice of the Customer: Large Language Models for Identifying Customer Needs
- From Small to Large Language Models: Revisiting the Federalist Papers
- Systems and Algorithms for Convolutional Multi-Hybrid Language Models at Scale
- Neural Manifolds and Cognitive Consistency: A New Approach to Memory Consolidation in Artificial Systems
- An Analysis of Data Transformation Effects on Segment Anything 2
- Memory-Free and Parallel Computation for Quantized Spiking Neural Networks
- A Novel Spatiotemporal Correlation Anomaly Detection Method Based on Time-Frequency-Domain Feature Fusion and a Dynamic Graph Neural Network in Wireless Sensor Network
- Constraining Sequential Model Editing with Editing Anchor Compression
- MergeIT: From Selection to Merging for Efficient Instruction Tuning
- optimizn: a Python Library for Developing Customized Optimization Algorithms
- KatFishNet: Detecting LLM-Generated Korean Text through Linguistic Feature Analysis
- Creator-Side Recommender System: Challenges, Designs, and Applications
- Opus: A Workflow Intention Framework for Complex Workflow Generation
- Differentially Private Federated Learning With Time-Adaptive Privacy Spending
- TerraTrace: Temporal Signature Land Use Mapping System
- Tukey Depth Mechanisms for Practical Private Mean Estimation
- H-FLTN: A Privacy-Preserving Hierarchical Framework for Electric Vehicle Spatio-Temporal Charge Prediction
- Enhancing Image Classification with Augmentation: Data Augmentation Techniques for Improved Image Classification
- Hybrid Voting-Based Task Assignment in Role-Playing Games
- Speaking the Right Language: The Impact of Expertise Alignment in User-AI Interactions
- AI Mismatches: Identifying Potential Algorithmic Harms Before AI Development
- Comparing Native and Non-native English Speakers' Behaviors in Collaborative Writing through Visual Analytics
- Scaffolding Empathy: Training Counselors with Simulated Patients and Utterance-level Performance Visualizations
- Assistance or Disruption? Exploring and Evaluating the Design and Trade-offs of Proactive AI Programming Support
- Enhancing Text Classification with a Novel Multi-Agent Collaboration Framework Leveraging BERT
- Single- vs. Dual-Prompt Dialogue Generation with LLMs for Job Interviews in Human Resources
- Steered Generation via Gradient Descent on Sparse Features
- Contextual effects of sentiment deployment in human and machine translation
- WhatELSE: Shaping Narrative Spaces at Configurable Level of Abstraction for AI-bridged Interactive Storytelling
- Quantum Machine Learning in Precision Medicine and Drug Discovery -- A Game Changer for Tailored Treatments?
- Automated Knowledge Component Generation for Interpretable Knowledge Tracing in Coding Problems
- On the Privacy-Preserving Properties of Spiking Neural Networks with Unique Surrogate Gradients and Quantization Levels
- A Distributional Treatment of Real2Sim2Real for Object-Centric Agent Adaptation in Vision-Driven Deformable Linear Object Manipulation
- Tight Bounds on the Binomial CDF, and the Minimum of i.i.d Binomials, in terms of KL-Divergence
- Expected Variational Inequalities
- Mind the Gap: Bridging the Divide Between AI Aspirations and the Reality of Autonomous Characterization
- Tighten The Lasso: A Convex Hull Volume-based Anomaly Detection Method
- Error-related Potential driven Reinforcement Learning for adaptive Brain-Computer Interfaces
- DeBUGCN -- Detecting Backdoors in CNNs Using Graph Convolutional Networks
- Transported Memory Networks accelerating Computational Fluid Dynamics
- Neurobiber: Fast and Interpretable Stylistic Feature Extraction
- Autonomous Vision-Guided Resection of Central Airway Obstruction
- What are Foundation Models Cooking in the Post-Soviet World?
- Learning and Computation of Phi-Equilibria at the Frontier of Tractability
- Differentially Private Iterative Screening Rules for Linear Regression
- Colored Jones Polynomials and the Volume Conjecture
- Transfer Learning for Transient Classification: From Simulations to Real Data and ZTF to LSST
- Application of Attention Mechanism with Bidirectional Long Short-Term Memory (BiLSTM) and CNN for Human Conflict Detection using Computer Vision
- Applications of Statistical Field Theory in Deep Learning
- Steganography Beyond Space-Time with Chain of Multimodal AI
- Multi-class Seismic Building Damage Assessment from InSAR Imagery using Quadratic Variational Causal Bayesian Inference
- PII-Bench: Evaluating Query-Aware Privacy Protection Systems
- Revisiting Convolution Architecture in the Realm of DNA Foundation Models
- A Survey of Zero-Knowledge Proof Based Verifiable Machine Learning
- MAFE: Enabling Equitable Algorithm Design in Multi-Agent Multi-Stage Decision-Making Systems
- Convolutional neural networks for mineral prospecting through alteration mapping with remote sensing data
- Enhancing Hepatopathy Clinical Trial Efficiency: A Secure, Large Language Model-Powered Pre-Screening Pipeline
- IMPROVE: Iterative Model Pipeline Refinement and Optimization Leveraging LLM Experts
- Heterogeneous Decision Making in Mixed Traffic: Uncertainty-aware Planning and Bounded Rationality
- Allocating Variance to Maximize Expectation
- Scalable Equilibrium Sampling with Sequential Boltzmann Generators
- K-LoRA: Unlocking Training-Free Fusion of Any Subject and Style LoRAs
- DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense Retrievers
- LLM-Based Design Pattern Detection
- Disambiguate First, Parse Later: Generating Interpretations for Ambiguity Resolution in Semantic Parsing
- Supervised Reward Inference
- Exploring Gender Disparities in Automatic Speech Recognition Technology
- Global law of conjugate kernel random matrices with heavy-tailed weights
- PyEvalAI: AI-assisted evaluation of Jupyter Notebooks for immediate personalized feedback
- Compressing Language Models for Specialized Domains
- GHOST 2.0: generative high-fidelity one shot transfer of heads
- MedKAN: An Advanced Kolmogorov-Arnold Network for Medical Image Classification
- GLEAN: Active Generalized Category Discovery with Diverse LLM Feedback
- Comparative Analysis of MDL-VAE vs. Standard VAE on 202 Years of Gynecological Data
- TSKANMixer: Kolmogorov-Arnold Networks with MLP-Mixer Model for Time Series Forecasting
- The Gradient of Algebraic Model Counting
- Enhancing DNA Foundation Models to Address Masking Inefficiencies
- SPECTRE: An FFT-Based Efficient Drop-In Replacement to Self-Attention for Long Contexts
- Learning sparse generalized linear models with binary outcomes via iterative hard thresholding
- Monte Carlo Temperature: a robust sampling strategy for LLM's uncertainty quantification methods
- How Far are LLMs from Real Search? A Comprehensive Study on Efficiency, Completeness, and Inherent Capabilities
- Mechanistic PDE Networks for Discovery of Governing Equations
- EgoSim: An Egocentric Multi-view Simulator and Real Dataset for Body-worn Cameras during Motion and Activity
- MindMem: Multimodal for Predicting Advertisement Memorability Using LLMs and Deep Learning
- Near-Shore Mapping for Detection and Tracking of Vessels
- ART: Anonymous Region Transformer for Variable Multi-Layer Transparent Image Generation
- Which Contributions Deserve Credit? Perceptions of Attribution in Human-AI Co-Creation
- DBR: Divergence-Based Regularization for Debiasing Natural Language Understanding Models
- Graph Inference with Effective Resistance Queries
- Modeling Neural Activity with Conditionally Linear Dynamical Systems
- BRIDO: Bringing Democratic Order to Abstractive Summarization
- Structural Alignment Improves Graph Test-Time Adaptation
- From Vision to Sound: Advancing Audio Anomaly Detection with Vision-Based Algorithms
- Accelerated Training on Low-Power Edge Devices
- Global-Decision-Focused Neural ODEs for Proactive Grid Resilience Management
- Self-Supervised Data Generation for Precision Agriculture: Blending Simulated Environments with Real Imagery
- Mapping of Subjective Accounts into Interpreted Clusters (MOSAIC): Topic Modelling and LLM applied to Stroboscopic Phenomenology
- WiCkeD: A Simple Method to Make Multiple Choice Benchmarks More Challenging
- GraphRank Pro+: Advancing Talent Analytics Through Knowledge Graphs and Sentiment-Enhanced Skill Profiling
- Learning atomic forces from uncertainty-calibrated adversarial attacks
- Looking forward: Linguistic theory and methods
- GCDance: Genre-Controlled Music-Driven 3D Full Body Dance Generation
- Exploring proteomic signatures in sepsis and non-infectious systemic inflammatory response syndrome
- Bayesian Computation in Deep Learning
- Smart and Efficient IoT-Based Irrigation System Design: Utilizing a Hybrid Agent-Based and System Dynamics Approach
- DeepCircuitX: A Comprehensive Repository-Level Dataset for RTL Code Understanding, Generation, and PPA Analysis
- Mixing Any Cocktail with Limited Ingredients: On the Structure of Payoff Sets in Multi-Objective POMDPs and its Impact on Randomised Strategies
- How Vital is the Jurisprudential Relevance: Law Article Intervened Legal Case Retrieval and Matching
- Neural Network Graph Similarity Computation Based on Graph Fusion
- Uncertainty Modeling in Multimodal Speech Analysis Across the Psychosis Spectrum
- Nested Expectations with Kernel Quadrature
- Better Aligned with Survey Respondents or Training Data? Unveiling Political Leanings of LLMs on U.S. Supreme Court Cases
- Near-Optimal Approximations for Bayesian Inference in Function Space
- Self-Adjust Softmax
- Beyond In-Distribution Success: Scaling Curves of CoT Granularity for Language Model Generalization
- Iterative Counterfactual Data Augmentation
- Causal AI-based Root Cause Identification: Research to Practice at Scale
- Beyond the convexity assumption: Realistic tabular data generation under quantifier-free real linear constraints
- Software implemented fault diagnosis of natural gas pumping unit based on feedforward neural network
- Multi-label out-of-distribution detection via evidential learning
- UASTrack: A Unified Adaptive Selection Framework with Modality-Customization in Single Object Tracking
- FLARE: A Framework for Stellar Flare Forecasting using Stellar Physical Properties and Historical Records
- Connecting Voices: LoReSpeech as a Low-Resource Speech Parallel Corpus
- Learning Structure-Supporting Dependencies via Keypoint Interactive Transformer for General Mammal Pose Estimation
- Near-optimal Active Regression of Single-Index Models
- League: Leaderboard Generation on Demand
- Grandes modelos de lenguaje: de la predicci'on de palabras a la comprensi'on?
- DenoMAE2.0: Improving Denoising Masked Autoencoders by Classifying Local Patches
- Differentially private synthesis of Spatial Point Processes
- Graph Augmentation for Cross Graph Domain Generalization
- VesselSAM: Leveraging SAM for Aortic Vessel Segmentation with AtrousLoRA
- Problem Solved? Information Extraction Design Space for Layout-Rich Documents using LLMs
- Recurrent Neural Networks for Dynamic VWAP Execution: Adaptive Trading Strategies with Temporal Kolmogorov-Arnold Networks
- CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification
- SECURA: Sigmoid-Enhanced CUR Decomposition with Uninterrupted Retention and Low-Rank Adaptation in Large Language Models
- Sharper Risk Bound for Multi-Task Learning with Multi-Graph Dependent Data
- iTrash: Incentivized Token Rewards for Automated Sorting and Handling
- Monitoring snow avalanches from SAR data with deep learning
- Can LLMs Explain Themselves Counterfactually?
- SASSHA: Sharpness-aware Adaptive Second-order Optimization with Stable Hessian Approximation
- A Real-time Spatio-Temporal Trajectory Planner for Autonomous Vehicles with Semantic Graph Optimization
- Realistic Clothed Human and Object Joint Reconstruction from a Single Image
- NusaAksara: A Multimodal and Multilingual Benchmark for Preserving Indonesian Indigenous Scripts
- LightFC-X: Lightweight Convolutional Tracker for RGB-X Tracking
- Actively Inferring Optimal Measurement Sequences
- SpargeAttention: Accurate and Training-free Sparse Attention Accelerating Any Model Inference
- Inverse Materials Design by Large Language Model-Assisted Generative Framework
- HyperG: Hypergraph-Enhanced LLMs for Structured Knowledge
- Personalized Federated Learning for Egocentric Video Gaze Estimation with Comprehensive Parameter Frezzing
- EU-Nets: Enhanced, Explainable and Parsimonious U-Nets
- Enhancing Reusability of Learned Skills for Robot Manipulation via Gaze Information and Motion Bottlenecks
- Bayesian Optimization for Controlled Image Editing via LLMs
- PromptMID: Modal Invariant Descriptors Based on Diffusion and Vision Foundation Models for Optical-SAR Image Matching
- The Built-In Robustness of Decentralized Federated Averaging to Bad Data
- FwNet-ECA: A Classification Model Enhancing Window Attention with Global Receptive Fields via Fourier Filtering Operations
- A Fusion Model for Artwork Identification Based on Convolutional Neural Networks and Transformers
- Examining the Threat Landscape: Foundation Models and Model Stealing
- MRBTP: Efficient Multi-Robot Behavior Tree Planning and Collaboration
- HEROS-GAN: Honed-Energy Regularized and Optimal Supervised GAN for Enhancing Accuracy and Range of Low-Cost Accelerometers
- Defining bias in AI-systems: Biased models are fair models
- Escaping The Big Data Paradigm in Self-Supervised Representation Learning
- A Market for Accuracy: Classification under Competition
- Uncertainty-aware abstention in medical diagnosis based on medical texts
- Progressive Local Alignment for Medical Multimodal Pre-training
- Enhancing 5G O-RAN Communication Efficiency Through AI-Based Latency Forecasting
- S-Graphs 2.0 -- A Hierarchical-Semantic Optimization and Loop Closure for SLAM
- Openfly: A comprehensive platform for aerial vision-language navigation
- AutoCas: Autoregressive Cascade Predictor in Social Networks via Large Language Models
- Harnessing Multiple Large Language Models: A Survey on LLM Ensemble
- ExPath: Targeted Pathway Inference for Biological Knowledge Bases via Graph Learning and Explanation
- Detecting Knowledge Boundary of Vision Large Language Models by Sampling-Based Inference
- Verdict: A Library for Scaling Judge-Time Compute
- High-precision visual navigation device calibration method based on collimator
- Patient Trajectory Prediction: Integrating Clinical Notes with Transformers
- NotaGen: Advancing Musicality in Symbolic Music Generation with Large Language Model Training Paradigms
- A Radon-Nikod'ym Perspective on Anomaly Detection: Theory and Implications
- GNN-XAR: A Graph Neural Network for Explainable Activity Recognition in Smart Homes
- Shedding Light on the Polymer's Identity: Microplastic Detection and Identification Through Nile Red Staining and Multispectral Imaging (FIMAP)
- A Perspective on Symbolic Machine Learning in Physical Sciences
- MAGE: Multi-Head Attention Guided Embeddings for Low Resource Sentiment Classification
- Generalized Decision Focused Learning under Imprecise Uncertainty--Theoretical Study
- Machine Learning-Based Prediction of ICU Mortality in Sepsis-Associated Acute Kidney Injury Patients Using MIMIC-IV Database with Validation from eICU Database
- Model-Free Adversarial Purification via Coarse-To-Fine Tensor Network Representation
- Improved YOLOv7x-Based Defect Detection Algorithm for Power Equipment
- Language Models' Factuality Depends on the Language of Inquiry
- CaseGen: A Benchmark for Multi-Stage Legal Case Documents Generation
- Optimal Brain Apoptosis
- Deep-JGAC: End-to-End Deep Joint Geometry and Attribute Compression for Dense Colored Point Clouds
- The Art of Beating the Odds with Predictor-Guided Random Design Space Exploration
- 3D Anatomical Structure-guided Deep Learning for Accurate Diffusion Microstructure Imaging
- Integrating Boosted learning with Differential Evolution (DE) Optimizer: A Prediction of Groundwater Quality Risk Assessment in Odisha
- Techniques for Enhancing Memory Capacity of Reservoir Computing
- Unmasking Gender Bias in Recommendation Systems and Enhancing Category-Aware Fairness
- C-LoRA: Continual Low-Rank Adaptation for Pre-trained Visual Models
- AirCast: Improving Air Pollution Forecasting Through Multi-Variable Data Alignment
- Batch normalization does not improve initialization
- Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs
- Enhancing Speech Quality through the Integration of BGRU and Transformer Architectures
- Scaling LLM Pre-training with Vocabulary Curriculum
- FactFlow: Automatic Fact Sheet Generation and Customization from Tabular Dataset via AI Chain Design & Implementation
- BD Currency Detection: A CNN Based Approach with Mobile App Integration
- Knowledge-enhanced Multimodal ECG Representation Learning with Arbitrary-Lead Inputs
- Can Large Language Models Identify Implicit Suicidal Ideation? An Empirical Evaluation
- VeriPlan: Integrating Formal Verification and LLMs into End-User Planning
- FetchBot: Learning Generalizable Object Fetching in Cluttered Scenes via Zero-Shot Sim2Real
- Sample-Efficient Diffusion-based Control of Complex Physics Systems
- Arrhythmia Classification from 12-Lead ECG Signals Using Convolutional and Transformer-Based Deep Learning Models
- A graph neural network-based multispectral-view learning model for diabetic macular ischemia detection from color fundus photographs
- From underwater to aerial: a novel multi-scale knowledge distillation approach for coral reef monitoring
- Science Across Languages: Assessing LLM Multilingual Translation of Scientific Papers
- Dual Classification Head Self-training Network for Cross-scene Hyperspectral Image Classification
- Towards Enhanced Immersion and Agency for LLM-based Interactive Drama
- An Efficient Self-Supervised Framework for Long-Sequence EEG Modeling
- Contrastive Learning with Nasty Noise
- Mitigating Attrition: Data-Driven Approach Using Machine Learning and Data Engineering
- A Survey: Spatiotemporal Consistency in Video Generation
- HRR: Hierarchical Retrospection Refinement for Generated Image Detection
- UniGS: Unified Language-Image-3D Pretraining with Gaussian Splatting
- SYNTHEMPATHY: A Scalable Empathy Corpus Generated Using LLMs Without Any Crowdsourcing
- Sketch-1-to-3: One Single Sketch to 3D Detailed Face Reconstruction
- A Novel Retinal Image Contrast Enhancement -- Fuzzy-Based Method
- Armada: Memory-Efficient Distributed Training of Large-Scale Graph Neural Networks
- LeanKAN: A Parameter-Lean Kolmogorov-Arnold Network Layer with Improved Memory Efficiency and Convergence Behavior
- Automatic Vehicle Detection using DETR: A Transformer-Based Approach for Navigating Treacherous Roads
- Task-Driven Semantic Quantization and Imitation Learning for Goal-Oriented Communications
- A Combinatorial Identities Benchmark for Theorem Proving via Automated Theorem Generation
- TagGAN: A Generative Model for Data Tagging
- Weakly Supervised Pixel-Level Annotation with Visual Interpretability
- Easy-Poly: An Easy Polyhedral Framework For 3D Multi-Object Tracking
- CAML: Collaborative Auxiliary Modality Learning for Multi-Agent Systems
- Predicting Through Generation: Why Generation Is Better for Prediction
- An Overview of Large Language Models for Statisticians
- Safe Multi-Agent Navigation guided by Goal-Conditioned Safe Reinforcement Learning
- URO-Bench: Towards Comprehensive Evaluation for End-to-End Spoken Dialogue Models
- Research on Enhancing Cloud Computing Network Security using Artificial Intelligence Algorithms
- Enhancing Human Evaluation in Machine Translation with Comparative Judgment
- LAM: Large Avatar Model for One-shot Animatable Gaussian Head
- PVBF: A Framework for Mitigating Parameter Variation Imbalance in Online Continual Learning
- SYNTHIA: Novel Concept Design with Affordance Composition
- On-device edge learning for IoT data streams: a survey
- AIR: Complex Instruction Generation via Automatic Iterative Refinement
- Exploring the Potential of Large Language Models for Estimating the Reading Comprehension Question Difficulty
- MuCoS: Efficient Drug-Target Prediction through Multi-Context-Aware Sampling
- Tip of the Tongue Query Elicitation for Simulated Evaluation
- How Many Human Survey Respondents is a Large Language Model Worth? An Uncertainty Quantification Perspective
- An Improved Privacy and Utility Analysis of Differentially Private SGD with Bounded Domain and Smooth Losses
- Sample Selection via Contrastive Fragmentation for Noisy Label Regression
- Improving Transformer Based Line Segment Detection with Matched Predicting and Re-ranking
- DeepSeek vs. ChatGPT vs. Claude: A Comparative Study for Scientific Computing and Scientific Machine Learning Tasks
- Design and implementation of a distributed security threat detection system integrating federated learning and multimodal LLM
- A digital eye-fixation biomarker using a deep anomaly scheme to classify Parkisonian patterns
- AI-driven 3D Spatial Transcriptomics
- Label-free Prediction of Vascular Connectivity in Perfused Microvascular Networks in vitro
- Robust and Efficient Deep Hedging via Linearized Objective Neural Network
- Task Graph Maximum Likelihood Estimation for Procedural Activity Understanding in Egocentric Videos
- Graded Neural Networks
- Detection of LLM-Paraphrased Code and Identification of the Responsible LLM Using Coding Style Features
- FinP: Fairness-in-Privacy in Federated Learning by Addressing Disparities in Privacy Risk
- Conformal Prediction Under Generalized Covariate Shift with Posterior Drift
- Are GNNs doomed by the topology of their input graph?
- Phoeni6: a Systematic Approach for Evaluating the Energy Consumption of Neural Networks