Papers
Sun 26 Oct 2025
209 papers
- Feature-Guided SAE Steering for Refusal-Rate Control using Contrasting PromptsMechanistic interpretability → Steering and probing for LLM safety
- Sparsity and Superposition in Mixture of ExpertsMixture-of-experts → MoE large language models
- Agentsway -- Software Development Methodology for AI Agents-based TeamsLLM agents and tool use → Software engineering coding agents
- Aligning Diffusion Language Models via Unpaired Preference OptimizationDiffusion models → Diffusion and flow policies for robotics +1
- Correctness Forensics for Batch Speculative Decoding: Diagnosing the Ragged Tensor ProblemEfficient LLM inference and serving → Speculative decoding
- Seeing the Unseen: Towards Training-Free Inspection for Wind Turbine Blades Using Knowledge-Augmented Vision Language ModelsMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Far from the Shallow: Brain-Predictive Reasoning Embedding through Residual DisentanglementLLM reasoning → Reasoning benchmarks and evaluation
- Guardian: Decoupling Exploration from Safety in Reinforcement LearningDeep reinforcement learning methods → Safe and constrained RL
- Encoder-Decoder Diffusion Language Models for Efficient Training and InferenceDiffusion models → Discrete and text diffusion
- Semantic Surgery: Zero-Shot Concept Erasure in Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- Once Upon an Input: Reasoning via Per-Instance Program SynthesisLLM reasoning → Test-time compute and efficient thinking
- Lyapunov Function-guided Reinforcement Learning for Flight ControlDeep reinforcement learning methods → RL for robot navigation and UAV control
- Semantic-Preserving Cross-Style Visual Reasoning for Robust Multi-Modal Understanding in Large Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
- Rethinking the Text-Vision Reasoning Imbalance in MLLMs through the Lens of Training RecipesLLM reasoning → Multimodal reasoning +1
- Toward Agents That Reason About Their ComputationDeep reinforcement learning methods → RL training of language and agent models
- HRM-Agent: Training a recurrent reasoning model in dynamic environments using reinforcement learningLLM reasoning → Reasoning for agents, planning and code
- VEHME: A Vision-Language Model For Evaluating Handwritten Mathematics ExpressionsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Collaborative LLM Agents for C4 Software Architecture Design AutomationLLM agents and tool use → Software engineering coding agents
- Self-Calibrated Consistency can Fight Back for Adversarial Robustness in Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Agentic Meta-Orchestrator for Multi-task CopilotsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Free Denoising Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Scalable Supervision for Software Agents via Patch ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- Seeing is Believing? Evaluating Vision-Language Model Susceptibility in Agent-to-Agent Multimodal PersuasionMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
- Jarvis: Towards Personalized AI Assistant via Personal KV-Cache RetrievalLLM reasoning → Multimodal reasoning +2
- Policies over Poses: Reinforcement Learning based Distributed Pose-Graph Optimization for Multi-Robot SLAMDeep reinforcement learning methods → RL for robot navigation and UAV control
- WebATLAS: An LLM Agent with Experience-Driven Memory and Action SimulationLLM agents and tool use → Web, search, and research agents
- S-Chain: Structured Visual Chain-of-Thought For MedicineLLM reasoning → Clinical and biomedical applications +1
- Scalable Neural Decoders for Practical Real-Time Quantum Error CorrectionState-space sequence models (S4, Mamba) → Core SSM architectures for language
- RaCoT: Plug-and-Play Contrastive Example Generation Mechanism for Enhanced LLM Reasoning ReliabilityLLM reasoning → Knowledge- and tool-augmented reasoning +1
- RL-AVIST: Reinforcement Learning for Autonomous Visual Inspection of Space TargetsDeep reinforcement learning methods → RL for robot navigation and UAV control
- Windsock is Dancing: Adaptive Multimodal Retrieval-Augmented GenerationMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +1
- Rule-Based Explanations for Retrieval-Augmented LLM SystemsRetrieval-augmented generation → RAG pipeline design and evaluation
- FlowCritic: Bridging Value Estimation with Flow Matching in Reinforcement LearningDiffusion models → Diffusion and flow policies for robotics +1
- SARVLM: A Vision Language Foundation Model for Semantic Understanding in SAR ImageryMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Self-Attention Decomposition For Training Free Diffusion EditingDiffusion models → Image generation, text-to-image and editing
- FastVLM: Self-Speculative Decoding for Fast Vision-Language Model InferenceMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Culturally Grounded Physical Commonsense Reasoning in Italian and English: A Submission to the MRL 2025 Shared TaskLLM reasoning → Reasoning benchmarks and evaluation
- Sentra-Guard: A Real-Time Multilingual Defense Against Adversarial LLM PromptsLLM safety and security → Jailbreaking
- SwiftSolve: A Self-Iterative, Complexity-Aware Multi-Agent Framework for Competitive ProgrammingLLM agents and tool use → Software engineering coding agents
- Breaking Agent Backbones: Evaluating the Security of Backbone LLMs in AI AgentsLLM agents and tool use → Agent threats, guardrails and governance
- PerCoR: Evaluating Commonsense Reasoning in Persian via Multiple-Choice Sentence CompletionLLM reasoning → Reasoning benchmarks and evaluation
- Everything Counts: The Managed Omnirelevance of Speech in Human-Voice Agent InteractionLLM agents and tool use → General LLM agent frameworks and benchmarks
- STATUS Bench: A Rigorous Benchmark for Evaluating Object State Understanding in Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Curriculum-Based Iterative Self-Play for Scalable Multi-Drone RacingDeep reinforcement learning methods → RL for robot navigation and UAV control
- A Closed-Loop Personalized Learning Agent Integrating Neural Cognitive Diagnosis, Bounded-Ability Adaptive Testing, and LLM-Driven FeedbackLLM agents and tool use → Educational agents and math problem solving
- SABlock: Semantic-Aware KV Cache Eviction with Adaptive Compression Block SizeEfficient LLM inference and serving → KV cache optimization
- FAPO: Flawed-Aware Policy Optimization for Efficient and Reliable ReasoningLLM reasoning → Reinforcement learning for reasoning
- OFFSIDE: Benchmarking Unlearning Misinformation in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Ant-inspired Walling Strategies for Scalable Swarm Separation: Reinforcement Learning Approaches Based on Finite State MachinesDeep reinforcement learning methods → RL for robot navigation and UAV control
- Open Multimodal Retrieval-Augmented Factual Image GenerationMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +1
- Transitive RL: Value Learning via Divide and ConquerDeep reinforcement learning methods → Deep RL algorithms and representations
- CANDI: Hybrid Discrete-Continuous Diffusion ModelsDiffusion models → Discrete and text diffusion
- Tailoring Reproducing Kernels for Optimal Control via Policy IterationDeep reinforcement learning methods → RL theory and sample complexity
- Single-Teacher View Augmentation: Boosting Knowledge Distillation via Angular DiversityKnowledge distillation → General knowledge distillation methods
- Learning "Partner-Aware" Collaborators in Multi-Party CollaborationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Human-Centred Evaluation of Text-to-Image Generation Models for Self-expression of Mental Distress: A Dataset Based on GPT-4o
- Ming-UniAudio: Speech LLM for Joint Understanding, Generation and Editing with Unified Representation
- Adaptive Testing for LLM Evaluation: A Psychometric Alternative to Static Benchmarks
- Benchmarking ResNet for Short-Term Hypoglycemia Classification with DiaData
- EEGReXferNet: A Lightweight Gen-AI Framework for EEG Subspace Reconstruction via Cross-Subject Transfer Learning and Channel-Aware Embedding
- Mutual Information guided Visual Contrastive Learning
- Position Paper: If Innovation in AI Systematically Violates Fundamental Rights, Is It Innovation at All?
- On the Structure of Floating-Point Noise in Batch-Invariant GPU Matrix Multiplication
- Chitchat with AI: Understand the supply chain carbon disclosure of companies worldwide through Large Language Model
- Towards Piece-by-Piece Explanations for Chess Positions with SHAP
- Pulsar Detection with Deep Learning
- Sub-microsecond Transformers for Jet Tagging on FPGAs
- AI & Data Competencies: Scaffolding holistic AI literacy in Higher Education
- What Work is AI Actually Doing? Uncovering the Drivers of Generative AI Adoption
- Traffic flow forecasting, STL decomposition, Hybrid model, LSTM, ARIMA, XGBoost, Intelligent transportation systems
- Optimize Any Topology: A Foundation Model for Shape- and Resolution-Free Structural Topology Optimization
- Beyond Normality: Reliable A/B Testing with Non-Gaussian Data
- Transformers from Compressed Representations
- AI-Driven Carbon Monitoring: Transformer-Based Reconstruction of Atmospheric CO2 in Canadian Poultry Regions
- JiuTian Chuanliu: A Large Spatiotemporal Model for General-purpose Dynamic Urban Sensing
- Quanvolutional Neural Networks for Pneumonia Detection: An Efficient Quantum-Assisted Feature Extraction Paradigm
- Quantum Machine Learning for Image Classification: A Hybrid Model of Residual Network with Quantum Support Vector Machine
- A machine learning framework integrating seed traits and plasma parameters for predicting germination uplift in crops
- A Comprehensive Dataset for Human vs. AI Generated Text Detection
- Interpreting and Mitigating Unwanted Uncertainty in LLMs
- Long-Term PM2.5 Forecasting Using a DTW-Enhanced CNN-GRU Model
- A Review of Neural Networks in Precipitation Prediction
- Self-induced stochastic resonance: A physics-informed machine learning approach
- Leveraging Large Language Models to Identify Conversation Threads in Collaborative Learning
- FastJAM: a Fast Joint Alignment Model for Images
- Clustering by Denoising: Latent plug-and-play diffusion for single-cell data
- Exploration of Summarization by Generative Language Models for Automated Scoring of Long Essays
- LLM-based Fusion of Multi-modal Features for Commercial Memorability Prediction
- Efficiently Learning Synthetic Control Models for High-dimensional Disaggregated Data
- FairJudge: Abstention-Aware Multimodal Judges for Fairness and Alignment Evaluation in Text-to-Image Models
- Logical GANs: Adversarial Learning through Ehrenfeucht Fraisse Games
- Cross-Lingual Stability and Bias in Instruction-Tuned Language Models for Humanitarian NLP
- Last-Iterate Analyses of FTRL with the 1/2-Tsallis Entropy in Stochastic Bandits
- Air Quality Prediction Using LOESS-ARIMA and Multi-Scale CNN-BiLSTM with Residual-Gated Attention
- Will Humanity Be Rendered Obsolete by AI?
- Distributed Multi-Agent Bandits Over ErdHos-R'enyi Random Networks
- MAGIC-Talk: Motion-aware Audio-Driven Talking Face Generation with Customizable Identity Control
- A Theory of the Mechanics of Information: Generalization Through Measurement of Uncertainty (Learning is Measuring)
- MedXplain-VQA: Multi-Component Explainable Medical Visual Question Answering
- Inductive Transfer Learning for Graph-Based Recommenders
All 209
- SAO-Instruct: Free-form Audio Editing using Natural Language Instructions
- PIP-LLM: Integrating PDDL-Integer Programming with LLMs for Coordinating Multi-Robot Teams Using Natural Language
- How Do AI Agents Do Human Work? Comparing AI and Human Workflows Across Diverse Occupations
- SeeDNorm: Self-Rescaled Dynamic Normalization
- Neural-HAR: A Dimension-Gated CNN Accelerator for Real-Time Radar Human Activity Recognition
- TELL-TALE: Task Efficient LLMs with Task Aware Layer Elimination
- Iterative Layer Pruning for Efficient Translation Inference
- Understanding What Is Not Said:Referring Remote Sensing Image Segmentation with Scarce Expressions
- EchoMind: An Interrelated Multi-level Benchmark for Evaluating Empathetic Speech Language Models
- Distributionally Robust Optimization via Diffusion Ambiguity Modeling
- Beyond Semantics: How Temporal Biases Shape Retrieval in Transformer and State-Space Models
- Multi-Modal Fact-Verification Framework for Reducing Hallucinations in Large Language Models
- Low-Resource Dialect Adaptation of Large Language Models: A French Dialect Case-Study
- OEUVRE: OnlinE Unbiased Variance-Reduced loss Estimation
- ConMatFormer: A Multi-attention and Transformer Integrated ConvNext based Deep Learning Model for Enhanced Diabetic Foot Ulcer Classification
- REVISION:Reflective Intent Mining and Online Reasoning Auxiliary for E-commerce Visual Search System Optimization
- Cross-view Localization and Synthesis -- Datasets, Challenges and Opportunities
- Centrum: Model-based Database Auto-tuning with Minimal Distributional Assumptions
- E2Rank: Unifying Text Embedding and Listwise Reranking for Effective and Efficient Search
- Critical Insights into Leading Conversational AI Models
- Edge Collaborative Gaussian Splatting with Integrated Rendering and Communication
- LRW-Persian: Lip-reading in the Wild Dataset for Persian Language
- Step2Motion: Locomotion Reconstruction from Pressure Sensing Insoles
- Identification of Causal Direction under an Arbitrary Number of Latent Confounders
- IGGT: Instance-Grounded Geometry Transformer for Semantic 3D Reconstruction
- Atlas Urban Index: A VLM-Based Approach for Spatially and Temporally Calibrated Urban Development Monitoring
- WaveMAE: Wavelet decomposition Masked Auto-Encoder for Remote Sensing
- VADTree: Explainable Training-Free Video Anomaly Detection via Hierarchical Granularity-Aware Tree
- SALSA: Single-pass Autoregressive LLM Structured Classification
- TABL-ABM: A Hybrid Framework for Synthetic LOB Generation
- RoboSVG: A Unified Framework for Interactive SVG Generation with Multi-modal Guidance
- Estimation of Fireproof Structure Class and Construction Year for Disaster Risk Assessment
- Uncertainty-Aware Autonomous Vehicles: Predicting the Road Ahead
- Do Stop Me Now: Detecting Boilerplate Responses with a Single Iteration
- DAMap: Distance-aware MapNet for High Quality HD Map Construction
- Alias-Free ViT: Fractional Shift Invariance via Linear Attention
- Look and Tell: A Dataset for Multimodal Grounding Across Egocentric and Exocentric Views
- LVD-GS: Gaussian Splatting SLAM for Dynamic Scenes via Hierarchical Explicit-Implicit Representation Collaboration Rendering
- Block Coordinate Descent for Neural Networks Provably Finds Global Minima
- Conjugate Relation Modeling for Few-Shot Knowledge Graph Completion
- Learning Without Augmenting: Unsupervised Time Series Representation Learning via Frame Projections
- Managing Self-Learning Experts under Per-Round Budget Constraints
- If You Want to Be Robust, Be Wary of Initialization
- Variational Polya Tree
- A Critical Study on Tea Leaf Disease Detection using Deep Learning Techniques
- Enhancing Graph Classification Robustness with Singular Pooling
- Environment-aware Motion Matching
- Robust Atypical Mitosis Classification with DenseNet121: Stain-Aware Augmentation and Hybrid Loss for Domain Generalization
- Integrating Linguistics and AI: Morphological Analysis and Corpus development of Endangered Toto Language of West Bengal
- DeepfakeBench-MM: A Comprehensive Benchmark for Multimodal Deepfake Detection
- CLEANet: Robust and Efficient Anomaly Detection in Contaminated Multivariate Time Series
- Cross-Species Transfer Learning in Agricultural AI: Evaluating ZebraPose Adaptation for Dairy Cattle Pose Estimation
- Does In-IDE Calibration of Large Language Models work at Scale?
- CLIN-LLM: A Safety-Constrained Hybrid Framework for Clinical Diagnosis and Treatment Generation
- SWAN: Self-supervised Wavelet Neural Network for Hyperspectral Image Unmixing
- Projection Embedded Diffusion Bridge for CT Reconstruction from Incomplete Data
- Mitigating Attention Sinks and Massive Activations in Audio-Visual Speech Recognition with LLMs
- Personal Care Utility (PCU): Building the Health Infrastructure for Everyday Insight and Guidance
- RoGER-SLAM: A Robust Gaussian Splatting SLAM System for Noisy and Low-light Environment Resilience
- A roadmap for curvature-based geometric data analysis and learning
- A Framework for Quantifying How Pre-Training and Context Benefit In-Context Learning
- AutoBench: Automating LLM Evaluation through Reciprocal Peer Assessment
- ATOM: AdapTive and OptiMized dynamic temporal knowledge graph construction using LLMs
- PSScreen V2: Partially Supervised Multiple Retinal Disease Screening
- UltraVoice: Scaling Fine-Grained Style-Controlled Speech Conversations for Spoken Dialogue Models
- Prediction-Powered Semi-Supervised Learning with Online Power Tuning
- MobileGeo: Exploring Hierarchical Knowledge Distillation for Resource-Efficient Cross-view Drone Geo-Localization
- Pedagogy-driven Evaluation of Generative AI-powered Intelligent Tutoring Systems
- Optimal Anytime Algorithms for Online Convex Optimization with Adversarial Constraints
- From Pixels to Views: Learning Angular-Aware and Physics-Consistent Representations for Light Field Microscopy
- MELDAE: A Framework for Micro-Expression Spotting, Detection, and Automatic Evaluation in In-the-Wild Conversational Scenes
- Combining Deep Learning and Explainable AI for Toxicity Prediction of Chemical Compounds
- SPIRAL: Self-Play Incremental Racing Algorithm for Learning in Multi-Drone Competitions
- Semi-Supervised Learning under General Causal Models
- Learning Event-guided Exposure-agnostic Video Frame Interpolation via Adaptive Feature Blending
- Blockchain Signatures to Ensure Information Integrity and Non-Repudiation in the Digital Era: A comprehensive study
- Statistical Analysis of the Sinkhorn Iterations for Two-Sample Schr"odinger Bridge Estimation
- Cross-Paradigm Graph Backdoor Attacks with Promptable Subgraph Triggers
- DDTR: Diffusion Denoising Trace Recovery
- LooGLE v2: Are LLMs Ready for Real World Long Dependency Challenges?
- qc-kmeans: A Quantum Compressive K-Means Algorithm for NISQ Devices
- Approximate Gradient Coding for Distributed Learning with Heterogeneous Stragglers
- Iteratively Refined Early Interaction Alignment for Subgraph Matching based Graph Retrieval
- SRSR: Enhancing Semantic Accuracy in Real-World Image Super-Resolution with Spatially Re-Focused Text-Conditioning
- Text to Trust: Evaluating Fine-Tuning and LoRA Trade-offs in Language Models for Unfair Terms of Service Detection
- Bag-of-Word-Groups (BoWG): A Robust and Efficient Loop Closure Detection Method Under Perceptual Aliasing
- AesCrop: Aesthetic-driven Cropping Guided by Composition
- Multi-Modal Masked Autoencoders for Learning Image-Spectrum Associations for Galaxy Evolution and Cosmology
- Semi-supervised Vertex Hunting, with Applications in Network and Text Analysis
- Random Search Neural Networks for Efficient and Expressive Graph Learning
- A Scalable Global Optimization Algorithm For Constrained Clustering
- Data-driven Sensor Placement for Predictive Applications: A Correlation-Assisted Attribution Framework (CAAF)
- Toward Robust Signed Graph Learning through Joint Input-Target Denoising
- GateFuseNet: An Adaptive 3D Multimodal Neuroimaging Fusion Network for Parkinson's Disease Diagnosis
- LLEMA: Evolutionary Search with LLMs for Multi-Objective Materials Discovery
- Towards Scalable Oversight via Partitioned Human Supervision
- Multi-Scale Finite Expression Method for PDEs with Oscillatory Solutions on Complex Domains
- A Sociophonetic Analysis of Racial Bias in Commercial ASR Systems Using the Pacific Northwest English Corpus
- The Limits of Data Scaling: Sub-token Utilization and Acoustic Saturation in Multilingual ASR
- LAMP: Data-Efficient Linear Affine Weight-Space Models for Parameter-Controlled 3D Shape Generation and Extrapolation
- Frustratingly Easy Task-aware Pruning for Large Language Models
- The Tonogenesis Continuum in Tibetan: A Computational Investigation
- An Analytic Theory of Quantum Imaginary Time Evolution
- Contextual Tokenization for Graph Inverted Indices
- Agent-GSPO: Communication-Efficient Multi-Agent Systems via Group Sequence Policy Optimization
- CHOIR: Collaborative Harmonization fOr Inference Robustness
- DynaPose4D: High-Quality 4D Dynamic Content Generation via Pose Alignment Loss
- Learning Local Stackelberg Equilibria from Repeated Interactions with a Learning Agent
- Backward-Friendly Optimization: Training Large Language Models with Approximate Gradients under Memory Constraints