Papers
Sun 19 Oct 2025
188 papers
- Agentic AI as Undercover Teammates: Argumentative Knowledge Construction in Hybrid Human-AI Collaborative LearningLLM agents and tool use → General LLM agent frameworks and benchmarks
- Diabetes Lifestyle Medicine Treatment Assistance Using Reinforcement LearningDeep reinforcement learning methods → RL for clinical treatment and surgery
- Online Mixture of Experts: No-Regret Learning for Optimal Collective Decision-MakingMixture-of-experts → MoE theory and gating functions
- DAG-Math: Graph-of-Thought Guided Mathematical Reasoning in LLMsLLM reasoning → Mathematical reasoning
- TACLA: An LLM-Based Multi-Agent Tool for Transactional Analysis Training in EducationLLM agents and tool use → Educational agents and math problem solving
- Interpretability Framework for LLMs in Undergraduate CalculusLLM reasoning → Mathematical reasoning
- BreakFun: Jailbreaking LLMs via Object Instantiation under Simulated Code ExecutionLLM safety and security → Jailbreaking
- Are LLMs Court-Ready? Evaluating Frontier Models on Indian Legal ReasoningLLM reasoning → Reasoning for agents, planning and code
- L-MoE: End-to-End Training of a Lightweight Mixture of Low-Rank Adaptation ExpertsMixture-of-experts → Mixture of LoRA experts
- Hierarchical Federated Unlearning for Large Language ModelsLLM safety and security → Machine unlearning
- ToolCritic: Detecting and Correcting Tool-Use Errors in Dialogue SystemsLLM agents and tool use → Tool learning and function calling
- Video Reasoning without TrainingLLM reasoning → Multimodal reasoning +1
- Where, Not What: Compelling Video LLMs to Learn Geometric Causality for 3D-GroundingLLM reasoning → Spatial and embodied reasoning +1
- Enrich and Detect: Video Temporal Grounding with Multimodal LLMsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Curiosity-driven RL for symbolic equation solvingDeep reinforcement learning methods → Interpretable and logic-guided RL
- Forgetting to Forget: Attention Sink as A Gateway for Backdooring LLM UnlearningLLM safety and security → Backdoor and data poisoning attacks
- SafeSearch: Do Not Trade Safety for Utility in LLM Search AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- Justitia: Fair and Efficient Scheduling of Task-parallel LLM Agents with Selective PamperingLLM agents and tool use → Software engineering coding agents
- Online Learning Defense against Iterative Jailbreak Attacks via Prompt OptimizationLLM safety and security → Jailbreaking
- ReclAIm: A Multi-Agent Framework for Monitoring and Correcting Performance Decline in Medical Imaging AILLM agents and tool use → Medical and scientific domain agents
- EEschematic: Multimodal-LLM Based AI Agent for Schematic Generation of Analog CircuitLLM agents and tool use → Software engineering coding agents
- Bits Leaked per Query: Information-Theoretic Bounds on Adversarial Attacks against LLMsLLM safety and security → Jailbreaking
- Towards Real-Time Generative Speech Restoration with Flow-MatchingDiffusion models → Audio, speech and music
- STARK: Strategic Team of Agents for Refining KernelsLLM agents and tool use → Software engineering coding agents
- Adaptive Deterministic Flow Matching for Target Speaker ExtractionDiffusion models → Audio, speech and music
- Training-free Online Video Step GroundingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- One-step Diffusion Models with Bregman Density Ratio MatchingDiffusion models → Diffusion foundations and sampling
- Lark: Biologically Inspired Neuroevolution for Multi-Stakeholder LLM AgentsLLM reasoning → Reasoning for agents, planning and code +1
- Leave It to the Experts: Detecting Knowledge Distillation via MoE Expert SignaturesMixture-of-experts → MoE large language models +1
- Quantile Regression, Variational Autoencoders, and Diffusion Models for Uncertainty Quantification: A Spatial Analysis of Sub-seasonal Wind Speed PredictionDiffusion models → Flow matching, time series and science
- A Comparative User Evaluation of XRL Explanations using Goal IdentificationDeep reinforcement learning methods → Interpretable and logic-guided RL
- Res-Bench: Benchmarking the Robustness of Multimodal Large Language Models to Dynamic Resolution InputMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Does Visual Grounding Enhance the Understanding of Embodied Knowledge in Large Language Models?Multimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- SolverLLM: Leveraging Test-Time Scaling for Optimization Problem via LLM-Guided SearchLLM reasoning → Test-time compute and efficient thinking
- VAGEN: Reinforcing World Model Reasoning for Multi-Turn VLM AgentsWorld models → World models for language agents +3
- Uniworld-V2: Reinforce Image Editing with Diffusion Negative-aware Finetuning and MLLM Implicit FeedbackLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Class-N-Diff: Classification-Induced Diffusion Model Can Make Fair Skin Cancer DiagnosisDiffusion models → Medical imaging and segmentation
- DeepAnalyze: Agentic Large Language Models for Autonomous Data ScienceLLM agents and tool use → Web, search, and research agents
- Uncovering Brain-Like Hierarchical Patterns in Vision-Language Models through fMRI-Based Neural EncodingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Agentic InequalityLLM agents and tool use → General LLM agent frameworks and benchmarks
- Schr"odinger Bridge Mamba for One-Step Speech EnhancementState-space sequence models (S4, Mamba) → Speech and audio SSMs
- From Mannequin to Human: A Pose-Aware and Identity-Preserving Video Generation Framework for Lifelike Clothing DisplayDiffusion models → 3D, point cloud and scene generation
- Finding Manifolds With Bilinear AutoencodersMechanistic interpretability → Sparse autoencoder training and evaluation
- Improving Model Representation and Reducing KV Cache via Skip Connections with First Value HeadsEfficient LLM inference and serving → KV cache optimization
- Black-box Optimization of LLM Outputs by Asking for DirectionsLLM safety and security → Jailbreaking
- More with Less: An Empirical Study of Turn-Control Strategies for Efficient Coding AgentsLLM agents and tool use → Software engineering coding agents
- Segmentation as A Plug-and-Play Capability for Frozen Multimodal LLMsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Xiaoice: Training-Free Video Understanding via Self-Supervised Spatio-Temporal Clustering of Semantic FeaturesLLM reasoning → Multimodal reasoning +1
- EMRRG: Efficient Fine-Tuning Pre-trained X-ray Mamba Networks for Radiology Report GenerationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- Region in Context: Text-condition Image editing with Human-like semantic reasoningLLM reasoning → Multimodal reasoning
- See or Say Graphs: Agent-Driven Scalable Graph Structure Understanding with Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
- WaMaIR: Image Restoration via Multiscale Wavelet Convolutions and Mamba-based Channel Modeling with Texture EnhancementState-space sequence models (S4, Mamba) → Mamba for image restoration
- Enhancing Language Agent Strategic Reasoning through Self-Play in Adversarial GamesLLM agents and tool use → Reinforcement learning for LLM agents +1
- End-to-end Listen, Look, Speak and ActMixture-of-experts → Multimodal MoE models
- ELMM: Efficient Lightweight Multimodal Large Language Models for Multimodal Knowledge Graph CompletionMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Visual Autoregressive Models Beat Diffusion Models on Inference Time ScalingLLM reasoning → Diffusion reasoning and test-time scaling +1
- A Comprehensive Survey on World Models for Embodied AIWorld models → World models for navigation
- Vision-Centric 4D Occupancy Forecasting and Planning via Implicit Residual World ModelsWorld models → World models for autonomous driving +1
- A Comprehensive Survey on Reinforcement Learning-based Agentic Search: Foundations, Roles, Optimizations, Evaluations, and ApplicationsRetrieval-augmented generation → Agentic RAG, agents and memory +1
- Beyond Pipelines: A Survey of the Paradigm Shift toward Model-Native Agentic AILLM agents and tool use → General LLM agent frameworks and benchmarks
- DistilLock: Safeguarding LLMs from Unauthorized Knowledge Distillation on the EdgeKnowledge distillation → Federated, robust and private distillation
- Right Answer at the Right Time - Temporal Retrieval-Augmented Generation via Graph SummarizationRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- SceneCOT: Eliciting Grounded Chain-of-Thought Reasoning in 3D ScenesLLM reasoning → Spatial and embodied reasoning
- HumanCM: One Step Human Motion PredictionDiffusion models → Video generation
- Rotation, Scale, and Translation Resilient Black-box Fingerprinting for Intellectual Property Protection of EaaS ModelsLLM safety and security → Watermarking generated content and models
- An Agentic Framework with LLMs for Solving Complex Vehicle Routing ProblemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Resolution-Aware Retrieval Augmented Zero-Shot ForecastingRetrieval-augmented generation → Time series and agricultural RAG
- Pursuing Minimal Sufficiency in Spatial ReasoningLLM reasoning → Spatial and embodied reasoning +1
- Investigating the Impact of Rationales for LLMs on Natural Language UnderstandingLLM reasoning → Prompting and chain-of-thought reasoning
- Evaluating protein binding interfaces with PUMBAState-space sequence models (S4, Mamba) → Core SSM architectures for language
- Architect in the Loop Agentic Hardware Design and Verification
- The Impact of Concept Explanations and Interventions on Human-Machine Collaboration
- Cultural Prompting Improves the Empathy and Cultural Responsiveness of GPT-Generated Therapy Responses
- Matrix Phylogeny: Compact Spectral Fingerprints for Trap-Robust Preconditioner Selection
- Mismatch reconstruction theory for unknown measurement matrix in imaging through multimode fiber bending
- EventFormer: A Node-graph Hierarchical Attention Transformer for Action-centric Video Event Prediction
- Uncertainty-Aware Post-Hoc Calibration: Mitigating Confidently Incorrect Predictions Beyond Calibration Metrics
- NeuCo-Bench: A Novel Benchmark Framework for Neural Embeddings in Earth Observation
- Atomic Literary Styling: Mechanistic Manipulation of Prose Generation in Neural Language Models
- Learning Time-Varying Graphs from Incomplete Graph Signals
- Activation Manifold Projection: Liberating Task-Specific Behaviors from LLM Architectures
- The Sherpa.ai Blind Vertical Federated Learning Paradigm to Minimize the Number of Communications
- Automated Algorithm Design for Auto-Tuning Optimizers
- Conformal Lesion Segmentation for 3D Medical Images
- Long-Context Attention Benchmark: From Kernel Efficiency to Distributed Context Parallelism
- How Universal Are SAM2 Features?
- Person Re-Identification via Generalized Class Prototypes
- Diverse Influence Component Analysis: A Geometric Approach to Nonlinear Mixture Identifiability
- Click, Predict, Trust: Clinician-in-the-Loop AI Segmentation for Lung Cancer CT-Based Prognosis within the Knowledge-to-Action Framework
- DINO-CVA: A Multimodal Goal-Conditioned Vision-to-Action Model for Autonomous Catheter Navigation
- Hephaestus: Mixture Generative Modeling with Energy Guidance for Large-scale QoS Degradation
- Conditional Synthetic Live and Spoof Fingerprint Generation
- Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models
- CoGate-LSTM: Prototype-Guided Feature-Space Gating for Mitigating Gradient Dilution in Imbalanced Toxic Comment Classification
- Do Satellite Tasks Need Special Pretraining?
- DiscoTrack: A Multilingual LLM Benchmark for Discourse Tracking
- An empirical study of the effect of video encoders on Temporal Video Grounding
- Vocab Diet: Reshaping the Vocabulary of LLMs via Vector Arithmetic
- Graph4MM: Weaving Multimodal Learning with Structural Information
- CARE: Contrastive Alignment for ADL Recognition from Event-Triggered Sensor Streams
All 188
- Back to Bytes: Revisiting Tokenization Through UTF-8
- When to Transfer: Adaptive Source Selection for Positive Transfer in Linear Models
- Parameter-Efficient Fine-Tuning for Low-Resource Languages: A Comparative Study of LLMs for Bengali Hate Speech Detection
- MuonBP: Faster Muon via Block-Periodic Orthogonalization
- Towards Interpretable and Trustworthy Time Series Reasoning: A BlueSky Vision
- Differentially Private Linear Regression and Synthetic Data Generation with Statistical Guarantees
- Foundation Models in Medical Image Analysis: A Systematic Review and Meta-Analysis
- Real-Time World Crafting: Generating Structured Game Behaviors from Natural Language with Large Language Models
- Unlocking Off-the-Grid Sparse Recovery with Unlimited Sensing: Simultaneous Super-Resolution in Time and Amplitude
- Peering Inside the Black Box: Uncovering LLM Errors in Optimization Modelling through Component-Level Evaluation
- A Primer on Kolmogorov-Arnold Networks (KANs) for Probabilistic Time Series Forecasting
- A Topological Approach to Parameterizing Deep Hedging Networks
- Prediction-Augmented Trees for Reliable Statistical Inference
- Tutoring LLM into a Better CUDA Optimizer
- Prompt-MII: Meta-Learning Instruction Induction for LLMs
- ChiKhaPo: A Large-Scale Multilingual Benchmark for Evaluating Lexical Comprehension and Generation in Large Language Models
- Closing the Curvature Gap: Full Transformer Hessians
- UNDREAM: Bridging Differentiable Rendering and Photorealistic Simulation for End-to-end Adversarial Attacks
- SAKE: Towards Editing Auditory Attribute Knowledge of Large Audio-Language Models
- Domain Generalizable Continual Learning
- Beyond RGB: Leveraging Vision Transformers for Thermal Weapon Segmentation
- A Lightweight DL Model for Smart Grid Power Forecasting with Feature and Resolution Mismatch
- Epistemic Memory: A Validity Layer for Self-Maintaining Intelligent Systems
- Adaptive Online Learning with LSTM Networks for Energy Price Prediction
- DeepChem Equivariant: SE(3)-Equivariant Support in an Open-Source Molecular Machine Learning Library
- Investigating Safety Vulnerabilities of Large Audio-Language Models Under Speaker Emotional Variations
- Contrail-to-Flight Attribution Using Ground Visible Cameras and Flight Surveillance Data
- UniGTE: Unified Graph-Text Encoding for Zero-Shot Generalization across Graph Tasks and Domains
- Utility-Diversity Aware Online Batch Selection for LLM Supervised Fine-tuning
- Fly-CL: A Fly-Inspired Framework for Enhancing Efficient Decorrelation and Reduced Training Time in Pre-trained Model-based Continual Representation Learning
- Registration is a Powerful Rotation-Invariance Learner for 3D Anomaly Detection
- BARL: Bilateral Alignment in Representation and Label Spaces for Semi-Supervised Volumetric Medical Image Segmentation
- DrivAerStar: An Industrial-Grade CFD Dataset for Vehicle Aerodynamic Optimization
- ArmFormer: Lightweight Transformer Architecture for Real-Time Multi-Class Weapon Segmentation and Classification
- Neuronal Group Communication for Efficient Neural representation
- FinSight: Towards Real-World Financial Deep Research
- 2DGS-R: Revisiting the Normal Consistency Regularization in 2D Gaussian Splatting
- Robust Cross-Domain Adaptation in Texture Features Transferring for Wood Chip Moisture Content Prediction
- Verifiable Fine-Tuning for LLMs: Zero-Knowledge Training Proofs Bound to Data Provenance and Policy
- Who's Asking? Simulating Role-Based Questions for Conversational AI Evaluation
- ProtoMol: Enhancing Molecular Property Prediction via Prototype-Guided Multimodal Learning
- ReefNet: A Large-Scale Dataset and Benchmark for Fine-Grained Coral Reef Recognition
- Cross-Genre Authorship Attribution via LLM-Based Retrieve-and-Rerank
- Trace Regularity PINNs: Enforcing H^frac12(partial Omega) for Boundary Data
- Efficient High-Accuracy PDEs Solver with the Linear Attention Neural Operator
- Knowing the Facts but Choosing the Shortcut: Understanding How Large Language Models Compare Entities
- Needles in the Landscape: Semi-Supervised Pseudolabeling for Archaeological Site Discovery under Label Scarcity
- Graph Learning Is Suboptimal in Causal Bandits
- When Many-Shot Prompting Fails: An Empirical Study of LLM Code Translation
- Computational Budget Should Be Considered in Data Selection
- Mixed-Precision Quantization for Language Models: Techniques and Prospects
- Domain-Contextualized Concept Graphs: A Computable Framework for Knowledge Representation
- An RGB-D Image Dataset for Lychee Detection and Maturity Classification for Robotic Harvesting
- MOSAIC: Masked Objective with Selective Adaptation for In-domain Contrastive Learning
- Personalized Image Filter: Mastering Your Photographic Style
- Unsupervised Monocular Road Segmentation for Autonomous Driving via Scene Geometry
- LC-Eval: A Bilingual Multi-Task Evaluation Benchmark for Long-Context Understanding
- Near-Optimal Quantum Algorithms for Computing (Coarse) Correlated Equilibria of General-Sum Games
- 3D-GSRD: 3D Molecular Graph Auto-Encoder with Selective Re-mask Decoding
- GS2POSE: Marry Gaussian Splatting to 6D Object Pose Estimation
- Learning to play: A Multimodal Agent for 3D Game-Play
- SAMOSA: Sharpness Aware Minimization for Open Set Active learning
- Prominence-Aware Artifact Detection and Dataset for Image Super-Resolution
- On Robust Hypothesis Testing with respect to the Hellinger Distance
- An Efficient Semantic Segmentation Decoder for In-Car or Distributed Applications
- Kernel-Based Nonparametric Tests For Shape Constraints
- Zero-Shot Performance Prediction for Probabilistic Scaling Laws
- Surrogate Modeling and Explainable Artificial Intelligence for Complex Systems: A Workflow for Automated Simulation Exploration
- A Control-Theoretic Approach to Dynamic Payment Routing for Success Rate Optimization
- UKANFormer: Noise-Robust Semantic Segmentation for Coral Reef Mapping via a Kolmogorov-Arnold Network-Transformer Hybrid
- Local regression on path spaces with signature metrics
- Beacon: Single-Turn Diagnosis and Mitigation of Latent Sycophancy in Large Language Models
- LSTM-Based Forecasting and Analysis of EV Charging Demand in a Dense Urban Campus
- U-Codec: Ultra Low Frame-rate Neural Speech Codec for Fast High-fidelity Speech Generation
- so much depends / upon / a whitespace: Why Whitespace Matters for Poets and LLMs
- The Chameleon Nature of LLMs: Quantifying Multi-Turn Stance Instability in Search-Enabled Language Models
- Natural Language Processing for Cardiology: A Narrative Review
- Connecting Domains and Contrasting Samples: A Ladder for Domain Generalization
- On the Granularity of Causal Effect Identifiability
- SDPA++: A General Framework for Self-Supervised Denoising with Patch Aggregation
- CLIP: Client-Side Invariant Pruning for Mitigating Stragglers in Secure Federated Learning
- High-Dimensional Privacy-Utility Dynamics of Noisy Stochastic Gradient Descent on Least Squares
- Structured yet Bounded Temporal Understanding in Large Language Models
- Filtering of Small Components for Isosurface Generation
- Renaissance of RNNs in Streaming Clinical Time Series: Compact Recurrence Remains Competitive with Transformers
- Active Target Discovery under Uninformative Prior: The Power of Permanent and Transient Memory
- Infinite Neural Operators: Gaussian processes on functions
- All You Need is One: Capsule Prompt Tuning with a Single Vector