Papers
Fri 20 Jun 2025
257 papers
- From Thinking to Output: Chain-of-Thought and Text Generation Characteristics in Reasoning Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- MemBench: Towards More Comprehensive Evaluation on the Memory of LLM-based AgentsLLM agents and tool use → Agent memory systems
- A Survey of State Representation Learning for Deep Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Trustworthy Few-Shot Transfer of Medical VLMs through Split Conformal PredictionMultimodal LLMs / vision-language models → Medical vision-language models
- Few-Shot, Now for Real: Medical VLMs Adaptation without Balanced Sets or ValidationMultimodal LLMs / vision-language models → Medical vision-language models
- Exploring Strategies for Personalized Radiation Therapy Part II Predicting Tumor Drift Patterns with Diffusion ModelsDiffusion models → Medical imaging and segmentation
- Distilling On-device Language Models for Robot Planning with Minimal Human InterventionLLM reasoning → Spatial and embodied reasoning
- From Unstructured Communication to Intelligent RAG: Multi-Agent Automation for Supply Chain Knowledge BasesRetrieval-augmented generation → Agentic RAG, agents and memory +1
- General-Purpose Robotic Navigation via LVLM-Orchestrated Perception, Reasoning, and ActingLLM reasoning → Spatial and embodied reasoning
- OmniReflect: Discovering Transferable Constitutions for LLM agents via Neuro-Symbolic ReflectionsLLM agents and tool use → General LLM agent frameworks and benchmarks
- UProp: Investigating the Uncertainty Propagation of LLMs in Multi-Step Agentic Decision-MakingLLM agents and tool use → General LLM agent frameworks and benchmarks
- Aha Moment Revisited: Are VLMs Truly Capable of Self Verification in Inference-time Scaling?LLM reasoning → Multimodal reasoning
- SAFEx: Analyzing Vulnerabilities of MoE-Based LLMs via Stable Safety-critical Expert IdentificationLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +2
- Differentiation-Based Extraction of Proprietary Data from Fine-Tuned LLMsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
- Emergent Temporal Correspondences from Video Diffusion TransformersDiffusion models → Video generation
- No Free Lunch: Rethinking Internal Feedback for LLM ReasoningLLM reasoning → Reinforcement learning for reasoning +1
- Machine Mental Imagery: Empower Multimodal Reasoning with Latent Visual TokensLLM reasoning → Multimodal reasoning +1
- BREAD: Branched Rollouts from Expert Anchors Bridge SFT & RL for ReasoningLLM reasoning → Reinforcement learning for reasoning
- Fine-Tuning Lowers Safety and Disrupts Evaluation ConsistencyLLM safety and security → Safety alignment, refusal and guardrails
- Dissecting the SWE-Bench Leaderboards: Profiling Submitters and Architectures of LLM- and Agent-Based Repair SystemsLLM agents and tool use → Software engineering coding agents
- Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Deep generative models as the probability transformation functionsDiffusion models → Diffusion foundations and sampling
- Sparse-Reg: Improving Sample Complexity in Offline Reinforcement Learning using SparsityOffline RL and imitation learning from data → Offline RL algorithms
- MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor ClassificationDiffusion models → Medical imaging and segmentation
- Consistent Sampling and Simulation: Molecular Dynamics with Energy-Based Diffusion ModelsDiffusion models → Flow matching, time series and science
- Large Language Model Unlearning for Source CodeLLM safety and security → Machine unlearning
- When Can Model-Free Reinforcement Learning be Enough for Thinking?LLM reasoning → Reinforcement learning for reasoning +1
- Mathematical Proof as a Litmus Test: Revealing Failure Modes of Advanced Large Reasoning ModelsLLM reasoning → Mathematical reasoning
- MEXA: Towards General Multimodal Reasoning with Dynamic Multi-Expert AggregationLLM reasoning → Clinical and biomedical applications
- Towards Advanced Mathematical Reasoning for LLMs via First-Order Logic Theorem ProvingLLM reasoning → Mathematical reasoning
- TransDreamerV3: Implanting Transformer In DreamerV3Deep reinforcement learning methods → Deep RL algorithms and representations
- Chain-of-Thought Prompting Obscures Hallucination Cues in Large Language Models: An Empirical EvaluationLLM reasoning → Hallucination detection and mitigation
- Generative Modeling of Full-Atom Protein Conformations using Latent Diffusion on Graph EmbeddingsDiffusion models → Flow matching, time series and science
- MUCAR: Benchmarking Multilingual Cross-Modal Ambiguity Resolution for Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Discrete Compositional Generation via General Soft Operators and Robust Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
- PersonalAI: A Systematic Comparison of Knowledge Graph Storage and Retrieval Approaches for Personalized LLM agentsLLM agents and tool use → Agent memory systems
- Policy Improvement with Style-Specific DemonstrationsDeep reinforcement learning methods → RL for games and combinatorial optimization
- RAGentA: Multi-Agent Retrieval-Augmented Generation for Attributed Question AnsweringRetrieval-augmented generation → Agentic RAG, agents and memory +1
- State-Space Models in Efficient Whispered and Multi-dialect Speech RecognitionState-space sequence models (S4, Mamba) → Speech and audio SSMs
- Chiron-o1: Igniting Multimodal Large Language Models towards Generalizable Medical Reasoning via Mentor-Intern Collaborative SearchLLM reasoning → Clinical and biomedical applications +1
- PET Tracer Separation Using Conditional Diffusion Transformer with Multi-latent Space LearningDiffusion models → Medical imaging and segmentation
- AI's Blind Spots: Geographic Knowledge and Diversity Deficit in Generated Urban ScenarioDiffusion models → 3D, point cloud and scene generation
- Reward-Agnostic Prompt Optimization for Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing +1
- Beyond Blur: A Fluid Perspective on Generative Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- FOCUS: Unified Vision-Language Modeling for Interactive Editing Driven by Referential SegmentationMultimodal LLMs / vision-language models → Image editing and quality assessment
- Co-VisiON: Co-Visibility ReasONing on Sparse Image Sets of Indoor ScenesLLM reasoning → Spatial and embodied reasoning
- RealSR-R1: Reinforcement Learning for Real-World Image Super-Resolution with Vision-Language Chain-of-ThoughtLLM reasoning → Multimodal reasoning
- Robust Dynamic Material Handling via Adaptive Constrained Evolutionary Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
- MIST: Jailbreaking Black-box Large Language Models via Iterative Semantic TuningLLM safety and security → Jailbreaking
- PQCAD-DM: Progressive Quantization and Calibration-Assisted Distillation for Extremely Efficient Diffusion ModelDiffusion models → Diffusion foundations and sampling
- Reinforcement Learning for Hybrid Charging Stations Planning and Operation Considering Fixed and Mobile ChargersDeep reinforcement learning methods → RL for energy, networks and operations
- Cross-Modal Obfuscation for Jailbreak Attacks on Large Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Language-Informed Synthesis of Rational Agent Models for Grounded Theory-of-Mind Reasoning On-The-FlyLLM reasoning → Reasoning for agents, planning and code +1
- Off-Policy Actor-Critic for Adversarial Observation Robustness: Virtual Alternative Training via Symmetric Policy EvaluationDeep reinforcement learning methods → Adversarial robustness and RL in finance
- Noise-Informed Diffusion-Generated Image Detection with Anomaly AttentionDiffusion models → Image generation, text-to-image and editing
- RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow MatchingDiffusion models → Audio, speech and music
- The Role of Model Confidence on Bias Effects in Measured Uncertainties for Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- DRARL: Disengagement-Reason-Augmented Reinforcement Learning for Efficient Improvement of Autonomous Driving PolicyEnd-to-end autonomous driving → Reinforcement learning for driving +1
- ReasonGRM: Enhancing Generative Reward Models through Large Reasoning ModelsLLM reasoning → Reinforcement learning for reasoning +1
- Language-driven Description Generation and Common Sense Reasoning for Video Action RecognitionLLM reasoning → Multimodal reasoning
- LaVi: Efficient Large Vision-Language Models via Internal Feature ModulationMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Fast and Stable Diffusion Planning through Variational Adaptive WeightingDiffusion models → Diffusion foundations and sampling +1
- Analysis of Atomic Charge State and Atomic Number for VAMOS++ Magnetic Spectrometer using Deep Neural Networks and Fractionally Labelled Events
- Rethinking Over-Smoothing in Graph Neural Networks: A Perspective from Anderson Localization
- Large Language Model-Driven Surrogate-Assisted Evolutionary Algorithm for Expensive Optimization
- Robust Short-Term OEE Forecasting in Industry 4.0 via Topological Data Analysis
- Data-driven Insights for Informed Decision-Making: Applying LSTM Networks for Robust Electricity Forecasting in Libya
- An Uncertainty-Aware Dynamic Decision Framework for Progressive Multi-Omics Integration in Classification Tasks
- PyTorch-based Geometric Learning with Non-CUDA Processing Units: Experiences from Intel Gaudi-v2 HPUs
- When Does Multimodality Lead to Better Time Series Forecasting?
- SysTemp: A Multi-Agent System for Template-Based Generation of SysML v2
- CORE-KG: An LLM-Driven Knowledge Graph Construction Framework for Human Smuggling Networks
- Large Language Models as symbolic DNA of cultural dynamics
- AI-based Approach in Early Warning Systems: Focus on Emergency Communication Ecosystem and Citizen Participation in Nordic Countries
- EASE: Embodied Active Event Perception via Self-Supervised Energy Minimization
- Kaleidoscopic Teaming in Multi Agent Simulations
- Mapping the Evolution of Research Contributions using KnoVo
- VeriLocc: End-to-End Cross-Architecture Register Allocation via LLM
- Learning golf swing signatures from a single wrist-worn inertial sensor
- DSA-NRP: No-Reflow Prediction from Angiographic Perfusion Dynamics in Stroke EVT
- Episode-specific Fine-tuning for Metric-based Few-shot Learners with Optimization-based Training
- From Generality to Mastery: Composer-Style Symbolic Music Generation via Large-Scale Pre-training
- Online Adaptation for Flying Quadrotors in Tight Formations
- A geometric framework for momentum-based optimizers for low-rank training
- Dataset of soil images with corresponding particle size distributions for photogranulometry
- Computational Approaches to Understanding Large Language Model Impact on Writing and Information Ecosystems
- FedNAMs: Performing Interpretability Analysis in Federated Learning Context
- Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages
- When Every Millisecond Counts: Real-Time Anomaly Detection via the Multimodal Asynchronous Hybrid Network
- AQUA20: A Benchmark Dataset for Underwater Species Classification under Challenging Conditions
- UT-GraphCast Hindcast Dataset: A Global AI Forecast Archive from UT Austin for Weather and Climate Applications
- BlenderFusion: 3D-Grounded Visual Editing and Generative Compositing
- Keeping Medical AI Healthy and Trustworthy: A Review of Detection and Correction Methods for System Degradation
- Enhancing Wireless Device Identification through RF Fingerprinting: Leveraging Transient Energy Spectrum Analysis
- Beyond the Link: Assessing LLMs' ability to Classify Political Content across Global Media
- Resource Rational Contractualism Should Guide AI Alignment
- Trans2-CBCT: A Dual-Transformer Framework for Sparse-View CBCT Reconstruction
- Sequence-to-Sequence Models with Attention Mechanistically Map to the Architecture of Human Memory Search
- VMRA-MaR: An Asymmetry-Aware Temporal Framework for Longitudinal Breast Cancer Risk Prediction
- Leveraging LLMs to Assess Tutor Moves in Real-Life Dialogues: A Feasibility Study
All 257
- Adaptive Control Attention Network for Underwater Acoustic Localization and Domain Adaptation
- Spatial-Temporal Pre-Training for Embryo Viability Prediction Using Time-Lapse Videos
- A workflow for generating synthetic LiDAR datasets in simulation environments
- Challenges in Grounding Language in the Real World
- From Drawings to Decisions: A Hybrid Vision-Language Framework for Parsing 2D Engineering Drawings into Structured Manufacturing Knowledge
- Multimodal Political Bias Identification and Neutralization
- AI based Content Creation and Product Recommendation Applications in E-commerce: An Ethical overview
- Re-Evaluating Code LLM Benchmarks Under Semantic Mutation
- Cash or Comfort? How LLMs Value Your Inconvenience
- Gaussian Processes and Reproducing Kernel Hilbert Spaces: Connections and Equivalences
- AI-based Multimodal Biometrics for Detecting Smartphone Distractions: Application to Online Learning
- A Large-Scale Real-World Evaluation of LLM-Based Virtual Teaching Assistant
- Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution
- Speeding up Local Optimization in Vehicle Routing with Tensor-based GPU Acceleration
- Automatic Large Language Models Creation of Interactive Learning Lessons
- Towards Safety Evaluations of Theory of Mind in Large Language Models
- Zero-Shot Cognitive Impairment Detection from Speech Using AudioLLM
- CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks
- VLN-R1: Vision-Language Navigation via Reinforcement Fine-Tuning
- Long-term Traffic Simulation with Interleaved Autoregressive Motion and Scenario Generation
- Part2GS: Part-aware Modeling of Articulated Objects using 3D Gaussian Splatting
- DreamCube: 3D Panorama Generation via Multi-plane Synchronization
- UniFork: Exploring Modality Alignment for Unified Multimodal Understanding and Generation
- Hunyuan-GameCraft: High-dynamic Interactive Game Video Generation with Hybrid History Condition
- Dex1B: Learning with 1B Demonstrations for Dexterous Manipulation
- Schr"odinger Bridge Matching for Tree-Structured Costs and Entropic Wasserstein Barycentres
- Facial Landmark Visualization and Emotion Recognition Through Neural Networks
- Towards AI Search Paradigm
- Optimal Implicit Bias in Linear Regression
- YASMOT: Yet another stereo image multi-object tracker
- Variational Learning of Disentangled Representations
- CLEAR-3K: Assessing Causal Explanatory Capabilities in Language Models
- Continual Learning with Columnar Spiking Neural Networks
- Proportional Sensitivity in Generative Adversarial Network (GAN)-Augmented Brain Tumor Classification Using Convolutional Neural Network
- The MedPerturb Dataset: What Non-Content Perturbations Reveal About Human and Clinical LLM Decision Making
- Co-Seg++: Mutual Prompt-Guided Collaborative Learning for Versatile Medical Segmentation
- Do We Need Large VLMs for Spotting Soccer Actions?
- Towards Conditional Feature Alignment for Cross-Domain Counting
- Semi-Supervised Multi-Modal Medical Image Segmentation for Complex Situations
- Dynamic Watermark Generation for Digital Images using Perimeter Gated SPAD Imager PUFs
- Robust Training with Data Augmentation for Medical Imaging Classification
- Chain-of-Trust: A Progressive Trust Evaluation Framework Enabled by Generative AI
- Rapid and Continuous Trust Evaluation for Effective Task Collaboration Through Siamese Model
- Cache Me If You Can: How Many KVs Do You Need for Effective Long-Context LMs?
- RGBTrack: Fast, Robust Depth-Free 6D Pose Estimation and Tracking
- Are Bias Evaluation Methods Biased ?
- Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping
- Searching for a Hidden Markov Anomaly over Multiple Processes
- Multi-label Scene Classification for Autonomous Vehicles: Acquiring and Accumulating Knowledge from Diverse Datasets
- Identifiability of Deep Polynomial Neural Networks
- Better Language Model Inversion by Compactly Representing Next-Token Distributions
- Dispositions and Roles of Generically Dependent Entities
- Tower+: Bridging Generality and Translation Specialization in Multilingual LLMs
- Simultaneous Translation with Offline Speech and LLM Models in CUNI Submission to IWSLT 2025
- Neural Polar Decoders for DNA Data Storage
- Assembler: Scalable 3D Part Assembly via Anchor Point Diffusion
- LLM-Based Bot Broadens the Range of Arguments in Online Discussions, Even When Transparently Disclosed as AI
- Empowering Near-Field Communications in Low-Altitude Economy with LLM: Fundamentals, Potentials, Solutions, and Future Directions
- Flow based approach for Dynamic Temporal Causal models with non-Gaussian or Heteroscedastic Noises
- Client Selection Strategies for Federated Semantic Communications in Heterogeneous IoT Networks
- Universal Music Representations? Evaluating Foundation Models on World Music Corpora
- From Concepts to Components: Concept-Agnostic Attention Module Discovery in Transformers
- Relaxed syntax modeling in Transformers for future-proof license plate recognition
- Navigating the Deep: End-to-End Extraction on Deep Neural Networks
- MAWIFlow Benchmark: Realistic Flow-Based Evaluation for Network Intrusion Detection
- Stretching Beyond the Obvious: A Gradient-Free Framework to Unveil the Hidden Landscape of Visual Invariance
- LSCD: Lomb-Scargle Conditioned Diffusion for Time series Imputation
- Bayesian Joint Model of Multi-Sensor and Failure Event Data for Multi-Mode Failure Prediction
- Critical Appraisal of Fairness Metrics in Clinical Predictive AI
- Scalable and Reliable Multi-agent Reinforcement Learning for Traffic Assignment
- Unsupervised Image Super-Resolution Reconstruction Based on Real-World Degradation Patterns
- Instituto de Telecomunicacc~oes at IWSLT 2025: Aligning Small-Scale Speech and Language Models for Speech-to-Text Learning
- A Quantile Regression Approach for Remaining Useful Life Estimation with State Space Models
- The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation
- Simulating Correlated Electrons with Symmetry-Enforced Normalizing Flows
- LLM-Generated Feedback Supports Learning If Learners Choose to Use It
- A Synthetic Benchmark for Collaborative 3D Semantic Occupancy Prediction in V2X-Enabled Autonomous Driving
- Prmpt2Adpt: Prompt-Based Zero-Shot Domain Adaptation for Resource-Constrained Environments
- ForestFormer3D: A Unified Framework for End-to-End Segmentation of Forest LiDAR 3D Point Clouds
- TeXpert: A Multi-Level Benchmark for Evaluating LaTeX Code Generation by LLMs
- Language Bottleneck Models for Qualitative Knowledge State Modeling
- Latent Concept Disentanglement in Transformer-based Language Models
- Formal Control for Uncertain Systems via Contract-Based Probabilistic Surrogates (Extended Version)
- RocketStack: Level-aware Deep Recursive Ensemble Learning Architecture
- Reversing Flow for Image Restoration
- Visual-Instructed Degradation Diffusion for All-in-One Image Restoration
- LAION-C: An Out-of-Distribution Benchmark for Web-Scale Vision Models
- LunarLoc: Segment-Based Global Localization on the Moon
- Enhancing Expressivity of Quantum Neural Networks Based on the SWAP test
- Multimodal Fused Learning for Solving the Generalized Traveling Salesman Problem in Robotic Task Planning
- A deep learning and machine learning approach to predict neonatal death in the context of S~ao Paulo
- Thermometry of simulated Bose--Einstein condensates using machine learning
- Real-Time Black-Box Optimization for Dynamic Discrete Environments Using Embedded Ising Machines
- A Neural Operator based Hybrid Microscale Model for Multiscale Simulation of Rate-Dependent Materials
- From Data to Knowledge: Evaluating How Efficiently Language Models Learn Facts
- RCNet: DeltaSigma IADCs as Recurrent AutoEncoders
- Towards Effective Complementary Security Analysis using Large Language Models
- With Limited Data for Multimodal Alignment, Let the STRUCTURE Guide You
- From Lab to Factory: Pitfalls and Guidelines for Self-/Unsupervised Defect Detection on Low-Quality Industrial Images
- The Importance of Being Lazy: Scaling Limits of Continual Learning
- Optimal Depth of Neural Networks
- ParkFormer: A Transformer-Based Parking Policy with Goal Embedding and Pedestrian-Aware Control
- Anomaly Detection in Event-triggered Traffic Time Series via Similarity Learning
- Controllable and Expressive One-Shot Video Head Swapping
- Soft decision trees for survival analysis
- Bandwidth Selectors on Semiparametric Bayesian Networks
- Camera Calibration via Circular Patterns: A Comprehensive Framework with Detection Uncertainty and Unbiased Projection Model
- FedFitTech: A Baseline in Federated Learning for Fitness Tracking
- AnyTraverse: An off-road traversability framework with VLM and human operator in the loop
- Predicting New Research Directions in Materials Science using Large Language Models and Concept Graphs
- Learning Dexterous Object Handover
- Self-supervised Feature Extraction for Enhanced Ball Detection on Soccer Robots
- Loupe: A Generalizable and Adaptive Framework for Image Forgery Detection
- Robust Group Anomaly Detection for Quasi-Periodic Network Time Series
- Temperature calibration of surface emissivities with an improved thermal image enhancement network
- Seeing What Matters: Generalizable AI-generated Video Detection with Forensic-Oriented Augmentation
- TabArena: A Living Benchmark for Machine Learning on Tabular Data
- Exploring and Improving Initialization for Deep Graph Neural Networks: A Signal Propagation Perspective
- Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps
- TextBraTS: Text-Guided Volumetric Brain Tumor Segmentation with Innovative Dataset Development and Fusion Module Exploration
- What Is the Point of Equality in Machine Learning Fairness? Beyond Equality of Opportunity
- DistillNote: Toward a Functional Evaluation Framework of LLM-Generated Clinical Note Summaries
- Infrared and Visible Image Fusion Based on Implicit Neural Representations
- SocialSim: Towards Socialized Simulation of Emotional Support Conversation
- Metapath-based Hyperbolic Contrastive Learning for Heterogeneous Graph Embedding
- Class Agnostic Instance-level Descriptor for Visual Instance Search
- IsoNet: Causal Analysis of Multimodal Transformers for Neuromuscular Gesture Classification
- Uncertainty-Aware Information Pursuit for Interpretable and Reliable Medical Image Analysis
- LM-SPT: LM-Aligned Semantic Distillation for Speech Tokenization
- Cross-modal Offset-guided Dynamic Alignment and Fusion for Weakly Aligned UAV Object Detection
- Optimism Without Regularization: Constant Regret in Zero-Sum Games
- 3DeepRep: 3D Deep Low-rank Tensor Representation for Hyperspectral Image Inpainting
- A Prior-Guided Joint Diffusion Model in Projection Domain for PET Tracer Conversion
- On Training-Test (Mis)alignment in Unsupervised Combinatorial Optimization: Observation, Empirical Exploration, and Analysis
- Incentivizing High-quality Participation From Federated Learning Agents
- TeSG: Textual Semantic Guidance for Infrared and Visible Image Fusion
- Few-Shot Generalized Category Discovery With Retrieval-Guided Decision Boundary Enhancement
- TriCon-SF: A Triple-Shuffle and Contribution-Aware Serial Federated Learning Framework for Heterogeneous Healthcare Data
- Generalizable Agent Modeling for Agent Collaboration-Competition Adaptation with Multi-Retrieval and Dynamic Generation
- How Many Domains Suffice for Domain Generalization? A Tight Characterization via the Domain Shattering Dimension
- Large Language Models as Psychological Simulators: A Methodological Guide
- SIDE: Semantic ID Embedding for effective learning from sequences
- From Prompts to Constructs: A Dual-Validity Framework for Large Language Model Research in Psychology
- Interpretable Low-Dimensional Modeling of Spatiotemporal Agent States for Decision Making in Football Tactics
- LegiGPT: Party Politics and Transport Policy with Large Language Model
- DepthVanish: Optimizing Adversarial Interval Structures for Stereo-Depth-Invisible Patches
- Compliant Residual DAgger: Improving Real-World Contact-Rich Manipulation with Human Corrections
- A Simple Contrastive Framework Of Item Tokenization For Generative Recommendation
- How to Train your Text-to-Image Model: Evaluating Design Choices for Synthetic Training Captions
- Mechanisms vs. Outcomes: Probing for Syntax Fails to Explain Performance on Targeted Syntactic Evaluations
- Extracting Multimodal Learngene in CLIP: Unveiling the Multimodal Generalizable Knowledge
- The Hitchhiker's Guide to Efficient, End-to-End, and Tight DP Auditing
- A Comparative Analysis of Principal Component Analysis (PCA) and Singular Value Decomposition (SVD) as Dimensionality Reduction Techniques
- Private Training & Data Generation by Clustering Embeddings
- Memory-Efficient LLM Pretraining via Minimalist Optimizer Design
- Multi-Armed Bandits With Machine Learning-Generated Surrogate Rewards
- Mesh-Informed Neural Operator : A Transformer Generative Approach