Papers
Sat 25 Oct 2025
165 papers
- Mind Your Entropy: From Maximum Entropy to Trajectory Entropy-Constrained RLDeep reinforcement learning methods → RL theory and sample complexity
- Evaluating LLMs' Reasoning Over Ordered Procedural StepsLLM reasoning → Reasoning benchmarks and evaluation
- Evaluating Multimodal Large Language Models on Core Music Perception TasksMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Benchmarking Egocentric Multimodal Goal Inference for Assistive Wearable AgentsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- PromptReverb: Multimodal Room Impulse Response Generation Through Latent Rectified Flow MatchingDiffusion models → Audio, speech and music
- Modeling Hierarchical Thinking in Large Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking
- Group size effects and collective misalignment in LLM multi-agent systemsLLM agents and tool use → Social simulation and multi-agent debate
- A Novel Multi-Timescale Stability-Preserving Hierarchical Reinforcement Learning Controller Framework for Adaptive Control in High-Dimensional Dynamical SystemsDeep reinforcement learning methods → RL theory and sample complexity
- Top-Down Semantic Refinement for Image CaptioningMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Can Small and Reasoning Large Language Models Score Journal Articles for Research Quality and Do Averaging and Few-shot Help?LLM reasoning → Reasoning benchmarks and evaluation
- Label Smoothing Improves Gradient Ascent in LLM UnlearningLLM safety and security → Machine unlearning
- Reasoning Models Reason Well, Until They Don'tLLM reasoning → Test-time compute and efficient thinking
- BLIP-FusePPO: A Vision-Language Deep Reinforcement Learning Framework for Lane Keeping in Autonomous VehiclesMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +2
- T2SMark: Balancing Robustness and Diversity in Noise-as-Watermark for Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- Mapping Faithful Reasoning in Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning
- FAIR-RAG: Faithful Adaptive Iterative Refinement for Retrieval-Augmented GenerationRetrieval-augmented generation → Agentic RAG, agents and memory
- DynaSolidGeo: A Dynamic Benchmark for Genuine Spatial Mathematical Reasoning of VLMs in Solid GeometryLLM reasoning → Spatial and embodied reasoning
- Transformer Key-Value Memories Are Nearly as Interpretable as Sparse AutoencodersMechanistic interpretability → SAE features and their applications
- GRPO-Guard: Mitigating Implicit Over-Optimization in Flow Matching via Regulated ClippingLLM reasoning → Reinforcement learning for reasoning +1
- LacMaterial: Large Language Models as Analogical Chemists for Materials DiscoveryLLM reasoning → Clinical and biomedical applications
- CityRiSE: Reasoning Urban Socio-Economic Status in Large Vision-Language Models via Reinforcement LearningLLM reasoning → Spatial and embodied reasoning +1
- WAON: A Large-Scale Japanese Image-Text Dataset for Cultural Adaptation in Contrastive Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- SecureLearn -- An Attack-agnostic Defense for Multiclass Machine Learning Against Data Poisoning AttacksLLM safety and security → Backdoor and data poisoning attacks
- From Slides to Chatbots: Enhancing Large Language Models with University Course MaterialsRetrieval-augmented generation → Agentic RAG, agents and memory
- Actor-Critic Learning for Risk-Constrained Linear Quadratic RegulationDeep reinforcement learning methods → RL for games and combinatorial optimization
- SteerX: Disentangled Steering for LLM PersonalizationMechanistic interpretability → Activation steering methods
- PACR: Progressively Ascending Confidence Reward for LLM ReasoningLLM reasoning → Reinforcement learning for reasoning
- You Don't Need Prompt Engineering Anymore: The Prompting InversionLLM reasoning → Prompting and chain-of-thought reasoning
- DiffusionLane: Diffusion Model for Lane DetectionDiffusion models → Diffusion and flow policies for robotics
- CGoT: A Novel Inference Mechanism for Embodied Multi-Agent Systems Using Composable Graphs of ThoughtsLLM reasoning → Chain-of-thought reasoning for driving +1
- Robust MIMO Channel Estimation Using Energy-Based Generative Diffusion ModelsDiffusion models → Diffusion for compression and wireless
- When Fewer Layers Break More Chains: Layer Pruning Harms Test-Time Scaling in LLMsLLM reasoning → Test-time compute and efficient thinking
- Right Place, Right Time: Market Simulation-based RL for Execution OptimisationDeep reinforcement learning methods → Adversarial robustness and RL in finance
- Human-Inspired Neuro-Symbolic World Modeling and Logic Reasoning for Interpretable Safe UAV Landing Site AssessmentWorld models → World models for navigation +1
- ACG: Action Coherence Guidance for Flow-based Vision-Language-Action modelsVision-language-action models → Efficient VLA inference and adaptation +1
- LongCat-Video Technical ReportWorld models → Video-generation world models and simulators
- OptiTree: Hierarchical Thoughts Generation with Tree Search for LLM Optimization ModelingLLM reasoning → Test-time compute and efficient thinking
- HARMONY: Hidden Activation Representations and Model Output-Aware Uncertainty Estimation for Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Expert Validation of Synthetic Cervical Spine Radiographs Generated with a Denoising Diffusion Probabilistic ModelDiffusion models → Medical imaging and segmentation
- Solving Continuous Mean Field Games: Deep Reinforcement Learning for Non-Stationary DynamicsDeep reinforcement learning methods → RL for games and combinatorial optimization
- Attention Residual Fusion Network with Contrast for Source-free Domain AdaptationKnowledge distillation → General knowledge distillation methods
- LOC: A General Language-Guided Framework for Open-Set 3D Occupancy PredictionMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Controllable Mathematical Reasoning via Self-Optimizing Thought VectorsLLM reasoning → Test-time compute and efficient thinking
- Mint: A Simple Test-Time Adaptation of Vision-Language Models against Common CorruptionsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Efficient Utility-Preserving Machine Unlearning with Implicit Gradient SurgeryLLM safety and security → Machine unlearning
- GRAID: Enhancing Spatial Reasoning of VLMs Through High-Fidelity Data GenerationLLM reasoning → Spatial and embodied reasoning +1
- Every Activation Boosted: Scaling General Reasoner to 1 Trillion Open Language FoundationLLM reasoning → Test-time compute and efficient thinking +1
- Mitigating Coordinate Prediction Bias from Positional Encoding FailuresMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Generalization or Memorization: Dynamic Decoding for Mode SteeringMechanistic interpretability → Steering and interpreting LLM reasoning
- Embracing Trustworthy Brain-Agent Collaboration as Paradigm Extension for Intelligent Assistive TechnologiesLLM agents and tool use → Medical and scientific domain agents
- FPGA-based Lane Detection System incorporating Temperature and Light Control Units
- Cross-Enhanced Multimodal Fusion of Eye-Tracking and Facial Features for Alzheimer's Disease Diagnosis
- CFL-SparseMed: Communication-Efficient Federated Learning for Medical Imaging with Top-k Sparse Updates
- PANORAMA: A Dataset and Benchmarks Capturing Decision Trails and Rationales in Patent Examination
- Error Adjustment Based on Spatiotemporal Correlation Fusion for Traffic Forecasting
- The Structural Scalpel: Automated Contiguous Layer Pruning for Large Language Models
- Beyond Hidden-Layer Manipulation: Semantically-Aware Logit Interventions for Debiasing LLMs
- Efficient Low Rank Attention for Long-Context Inference in Large Language Models
- RoGBot: Relationship-Oblivious Graph-based Neural Network with Contextual Knowledge for Bot Detection
- Derivative-Free Sequential Quadratic Programming for Equality-Constrained Stochastic Optimization
- SemiETPicker: Fast and Label-Efficient Particle Picking for CryoET Tomography Using Semi-Supervised Learning
- Confidence Sets for Multidimensional Scaling
- GraphTOP: Graph Topology-Oriented Prompting for Graph Neural Networks
- SmartMixed: A Two-Phase Training Strategy for Adaptive Activation Function Learning in Neural Networks
- Low-Precision Streaming PCA
- 3D Roadway Scene Object Detection with LIDARs in Snowfall Conditions
- Hollywood Town: Long-Video Generation via Cross-Modal Multi-Agent Orchestration
- Reinforcement learning-guided optimization of critical current in high-temperature superconductors
- Extragradient Method for (L0, L1)-Lipschitz Root-finding Problems
- A PyTorch Framework for Scalable Non-Crossing Quantile Regression
- Knowledge-guided Continual Learning for Behavioral Analytics Systems
- NetBurst: Event-Centric Forecasting of Bursty, Intermittent Time Series
- Confabulations from ACL Publications (CAP): A Dataset for Scientific Hallucination Detection
- A Fully Interpretable Statistical Approach for Roadside LiDAR Background Subtraction
- Privacy-Aware Federated nnU-Net for ECG Page Digitization
- Dynamic Dropout: Leveraging Conway's Game of Life for Neural Networks Regularization
- Efficient Large-Deformation Medical Image Registration via Recurrent Dynamic Correlation
- TraceTrans: Translation and Spatial Tracing for Surgical Prediction
- Conformalized Polynomial Chaos Expansion for Uncertainty-aware Surrogate Modeling
- VisJudge-Bench: Aesthetics and Quality Assessment of Visualizations
- GigaEmbeddings: Efficient Russian Language Embedding Model
- Bias Begins with Data: The FairGround Corpus for Robust and Reproducible Research on Algorithmic Fairness
- EndoSfM3D: Learning to 3D Reconstruct Any Endoscopic Surgery Scene using Self-supervised Foundation Model
- Irony Detection in Urdu Text: A Comparative Study Using Machine Learning Models and Large Language Models
- Design Stability in Adaptive Experiments: Implications for Treatment Effect Estimation
- Uncertainty quantification in model discovery by distilling interpretable material constitutive models from Gaussian process posteriors
- GeoDiffusion: A Training-Free Framework for Accurate 3D Geometric Conditioning in Image Generation
- Toward Humanoid Brain-Body Co-design: Joint Optimization of Control and Morphology for Fall Recovery
- Moving Beyond Diffusion: Hierarchy-to-Hierarchy Autoregression for fMRI-to-Image Reconstruction
- Multilingual Target-Stance Extraction
- LIFT: Interpretable truck driving risk prediction with literature-informed fine-tuned LLMs
- Graph-Coarsening Approach for the Capacitated Vehicle Routing Problem with Time Windows
- Monitoring State Transitions in Markovian Systems with Sampling Cost
- Beyond Augmentation: Leveraging Inter-Instance Relation in Self-Supervised Representation Learning
- Harnessing the Power of Large Language Models for Software Testing Education: A Focus on ISTQB Syllabus
- Memory-based Language Models: An Efficient, Explainable, and Eco-friendly Approach to Large Language Modeling
- AnyECG-Lab: An Exploration Study of Fine-tuning an ECG Foundation Model to Estimate Laboratory Values from Single-Lead ECG Signals
- T2I-RiskyPrompt: A Benchmark for Safety Evaluation, Attack, and Defense on Text-to-Image Model
- Stable neural networks and connections to continuous dynamical systems
- MetaCaDI: A Meta-Learning Framework for Causal Discovery from Multiple Environments with Unknown Interventions
All 165
- VietLyrics: A Large-Scale Dataset and Models for Vietnamese Automatic Lyrics Transcription
- Predicting Metabolic Dysfunction-Associated Steatotic Liver Disease using Machine Learning Methods: A Retrospective Cohort Study
- Does Homophily Help in Robust Test-time Node Classification?
- Machine Learning Enabled Early Warning System For Financial Distress Using Real-Time Digital Signals
- Supervised Fine-Tuning or In-Context Learning? Evaluating LLMs for Clinical NER
- Adapting Noise-Driven PUF and AI for Secure WBG ICS: A Proof-of-Concept Study
- GSAlign: Geometric and Semantic Alignment Network for Aerial-Ground Person Re-Identification
- A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata
- PatenTEB: A Comprehensive Benchmark and Model Family for Patent Text Embedding
- Epistemic Deep Learning: Enabling Machine Learning Models to Know When They Do Not Know
- Accident Anticipation via Temporal Occurrence Prediction
- LUNA: Efficient and Topology-Agnostic Foundation Model for EEG Signal Analysis
- Real-Time Semantic Segmentation on FPGA for Autonomous Vehicles Using LMIINet with the CGRA4ML Framework
- PaperAsk: A Benchmark for Reliability Evaluation of LLMs in Paper Search and Reading
- Synthetic-to-Real Transfer Learning for Chromatin-Sensitive PWS Microscopy
- Bridging the Perceptual-Statistical Gap in Dysarthria Assessment: Why Machine Learning Still Falls Short
- Rational Adversaries and the Maintenance of Fragility: A Game-Theoretic Theory of Rational Stagnation
- Diffusion-Driven Two-Stage Active Learning for Low-Budget Semantic Segmentation
- Audio Frequency-Time Dual Domain Evaluation on Depression Diagnosis
- Taming Silent Failures: A Framework for Verifiable AI Reliability
- HPC-Driven Modeling with ML-Based Surrogates for Magnon-Photon Dynamics in Hybrid Quantum Systems
- Evolution of the lexicon: a probabilistic point of view
- Estimating the Error of Large Language Models at Pairwise Text Comparison
- Enpowering Your Pansharpening Models with Generalizability: Unified Distribution is All You Need
- Hybrid-Vector Retrieval for Visually Rich Documents: Combining Single-Vector Efficiency and Multi-Vector Accuracy
- GALA: A GlobAl-LocAl Approach for Multi-Source Active Domain Adaptation
- DynamicTree: Interactive Real Tree Animation via Sparse Voxel Spectrum
- DETECT: Determining Ease and Textual Clarity of German Text Simplifications
- LSPRAG: LSP-Guided RAG for Language-Agnostic Real-Time Unit Test Generation
- Visual Model Selection using Feature Importance Clusters in Fairness-Performance Similarity Optimized Space
- Simplifying Knowledge Transfer in Pretrained Models
- The Lossy Horizon: Error-Bounded Predictive Coding for Lossy Text Compression (Episode I)
- TrajGATFormer: A Graph-Based Transformer Approach for Worker and Obstacle Trajectory Prediction in Off-site Construction Environments
- Causal Effect Estimation with TMLE: Handling Missing Data and Near-Violations of Positivity
- MOGRAS: Human Motion with Grasping in 3D Scenes
- MMbeddings: Parameter-Efficient, Low-Overfitting Probabilistic Embeddings Inspired by Nonlinear Mixed Models
- Multi-dataset Joint Pre-training of Emotional EEG Enables Generalizable Affective Computing
- Scaling Non-Parametric Sampling with Representation
- RGC: a radio AGN classifier based on deep learning. I. A semi-supervised multiclass model for VLA images
- Quantitative Bounds for Sorting-Based Permutation-Invariant Embeddings
- Dopamine-driven synaptic credit assignment in neural networks
- M-CIF: Multi-Scale Alignment For CIF-Based Non-Autoregressive ASR
- Measure what Matters: Psychometric Evaluation of AI with Situational Judgment Tests
- LT-Exosense: A Vision-centric Multi-session Mapping System for Lifelong Safe Navigation of Exoskeletons
- Surface Reading LLMs: Synthetic Text and its Styles
- I2-NeRF: Learning Neural Radiance Fields Under Physically-Grounded Media Interactions
- SentiMaithili: A Benchmark Dataset for Sentiment and Reason Generation for the Low-Resource Maithili Language
- Frequency-Spatial Interaction Driven Network for Low-Light Image Enhancement
- Power to the Clients: Federated Learning in a Dictatorship Setting
- Benchmarking and Learning Real-World Customer Service Dialogue
- STG-Avatar: Animatable Human Avatars via Spacetime Gaussian
- Edit Less, Achieve More: Dynamic Sparse Neuron Masking for Lifelong Knowledge Editing in LLMs
- Tractable Shapley Values and Interactions via Tensor Networks
- HandPass: A Wi-Fi CSI Palm Authentication Approach for Access Control
- Probing Neural Combinatorial Optimization Models
- egoEMOTION: Egocentric Vision and Physiological Signals for Emotion and Personality Recognition in Real-World Tasks
- Learning 3D Anisotropic Noise Distributions Improves Molecular Force Field Modeling
- CogStereo: Neural Stereo Matching with Implicit Spatial Cognition Embedding
- When UAV Swarm Meets IRS: Collaborative Secure Communications in Low-altitude Wireless Networks
- Gradual Forgetting: Logarithmic Compression for Extending Transformer Context Windows
- STAR-RIS-assisted Collaborative Beamforming for Low-altitude Wireless Networks
- Discovering Latent Graphs with GFlowNets for Diverse Conditional Image Generation
- Scaling Up Efficient Small Language Models Serving and Deployment for Semantic Job Search
- Dynamic Graph Neural Networks for Physiological Based Pharmacokinetic Modeling: A Novel Data Driven Approach to Drug Concentration Prediction
- Hierarchical Graph Networks for Accurate Weather Forecasting via Lightweight Training