Papers
Sat 14 Feb 2026
180 papers
- ACE-Bench: A Lightweight Benchmark for Evaluating Azure SDK Usage CorrectnessLLM agents and tool use → Software engineering coding agents
- Pramana: Fine-Tuning Large Language Models for Epistemic Reasoning through Navya-NyayaLLM reasoning → Reasoning benchmarks and evaluation
- CEI: A Benchmark for Evaluating Pragmatic Reasoning in Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Do Mixed-Vendor Multi-Agent LLMs Improve Clinical Diagnosis?LLM agents and tool use → Medical and scientific domain agents
- Context-Dependent Affordance Reports in Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- DeepXiv-SDK: An Agentic Data Interface for Scientific LiteratureLLM agents and tool use → Web, search, and research agents
- From Pixels to Policies: Reinforcing Spatial Reasoning in Language Models for Content-Aware Layout DesignLLM reasoning → Spatial and embodied reasoning
- Diagnosing Pathological Chain-of-Thought in Reasoning ModelsLLM reasoning → Prompting and chain-of-thought reasoning
- GSRM: Generative Speech Reward Model for Speech RLHFLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
- Evaluating Prompt Engineering Techniques for RAG in Small Language Models: A Multi-Hop QA ApproachRetrieval-augmented generation → RAG pipeline design and evaluation
- Mixture-of-experts Wishart model for covariance matrices with an application to Cancer drug screeningMixture-of-experts → MoE theory and gating functions
- Agentic Assistant for 6G: Turn-based Conversations for AI-RAN Hierarchical Co-ManagementLLM agents and tool use → Agentic AI for wireless networks
- Bridging the Multilingual Safety Divide: Efficient, Culturally-Aware Alignment for Global South LanguagesLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
- Enabling Option Learning in Sparse Rewards with Hindsight Experience ReplayDeep reinforcement learning methods → Deep RL algorithms and representations
- From Fluent to Verifiable: Claim-Level Auditability for Deep Research AgentsLLM agents and tool use → Web, search, and research agents
- PrivAct: Internalizing Contextual Privacy Preservation via Multi-Agent Preference TrainingLLM agents and tool use → Agent threats, guardrails and governance
- A Causal Diffusion Model for Video Reconstruction from Ultra-Low-Bitrate RepresentationsDiffusion models → Diffusion for compression and wireless
- Speculative Decoding with a Speculative VocabularyEfficient LLM inference and serving → Speculative decoding
- Beyond Words: Evaluating and Bridging Epistemic Divergence in User-Agent Interaction via Theory of MindLLM agents and tool use → General LLM agent frameworks and benchmarks
- A Tale of Two Graphs: Separating Knowledge Exploration from Outline Structure for Open-Ended Deep ResearchLLM agents and tool use → Web, search, and research agents
- Embed-RL: Reinforcement Learning for Reasoning-Driven Multimodal EmbeddingsLLM reasoning → Multimodal reasoning +1
- Pawsterior: Variational Flow Matching for Structured Simulation-Based InferenceDiffusion models → Flow matching, time series and science
- Mean Flow Policy with Instantaneous Velocity Constraint for One-step Action GenerationDeep reinforcement learning methods → RL with diffusion and flow models
- An end-to-end agentic pipeline for smart contract translation and quality evaluationLLM agents and tool use → Agent threats, guardrails and governance
- AnomaMind: Agentic Time Series Anomaly Detection with Tool-Augmented ReasoningLLM agents and tool use → Software engineering coding agents
- NeuroMambaLLM: Dynamic Graph Learning of fMRI Functional Connectivity in Autistic Brains Using Mamba and Language Model ReasoningLLM reasoning → Reasoning benchmarks and evaluation +1
- OR-Agent: Bridging Evolutionary Search and Structured Research for Automated Heuristic DesignLLM agents and tool use → General LLM agent frameworks and benchmarks
- MOTIF: Learning Action Motifs for Few-shot Cross-Embodiment TransferVision-language-action models → Human-video and latent-action pretraining
- OmniScience: A Large-scale Multi-modal Dataset for Scientific Image UnderstandingMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- OneLatent: Single-Token Compression for Visual Latent ReasoningLLM reasoning → Multimodal reasoning +1
- Compiling Large Multi-Modal Requirement Documents into Runnable Software Systems: From an Agentic Test-Driven PerspectiveLLM agents and tool use → Software engineering coding agents
- On Theoretically-Driven LLM Agents for Multi-Dimensional Discourse AnalysisLLM agents and tool use → Social simulation and multi-agent debate
- HBVLA: Pushing 1-Bit Post-Training Quantization for Vision-Language-Action ModelsVision-language-action models → Efficient VLA inference and adaptation
- ThunderAgent: A Simple, Fast and Program-Aware Agentic Inference SystemLLM agents and tool use → Software engineering coding agents +1
- PhGPO: Pheromone-Guided Policy Optimization for Long-Horizon Tool PlanningLLM agents and tool use → Reinforcement learning for LLM agents
- AuTAgent: A Reinforcement Learning Framework for Tool-Augmented Audio ReasoningLLM reasoning → Audio-language model reasoning
- MAS-on-the-Fly: In-Context Structural Adaptation of LLM-Based Multi-Agent SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- HyFunc: Accelerating LLM-based Function Calls for Agentic AI through Hybrid-Model Cascade and Dynamic TemplatingLLM agents and tool use → General LLM agent frameworks and benchmarks
- LeafNet: A Large-Scale Dataset and Comprehensive Benchmark for Foundational Vision-Language Understanding of Plant DiseasesMultimodal LLMs / vision-language models → Agricultural vision-language models
- Building Autonomous GUI Navigation via Agentic-Q Estimation and Step-Wise Policy OptimizationLLM agents and tool use → GUI and mobile agents
- KorMedMCQA-V: A Multimodal Benchmark for Evaluating Vision-Language Models on the Korean Medical Licensing ExaminationMultimodal LLMs / vision-language models → Medical vision-language models
- SF-RAG: Structure-Fidelity Retrieval-Augmented Generation for Academic Question AnsweringRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Guided Collaboration in Heterogeneous LLM-Based Multi-Agent Systems via Entropy-Based Understanding Assessment and Experience RetrievalLLM reasoning → Reasoning for agents, planning and code +1
- DCDM: Divide-and-Conquer Diffusion Models for Consistency-Preserving Video GenerationDiffusion models → Video generation
- GEMs: Breaking the Long-Sequence Barrier in Generative Recommendation with a Multi-Stream DecoderLLM reasoning → LLM reasoning for recommendation
- The Shadow Boss: Identifying Atomized Manipulations in Agentic Employment of XR Users using Scenario ConstructionsLLM agents and tool use → General LLM agent frameworks and benchmarks
- DiffusionRollout: Uncertainty-Aware Rollout Planning in Long-Horizon PDE SolvingDiffusion models → Flow matching, time series and science
- Towards Sparse Video Understanding and ReasoningLLM reasoning → Multimodal reasoning
- SAVAA: Mitigating Hallucinations in LVLMs via Step-wise Adaptive Visual Attention AmplificationMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- AlignSentinel: Alignment-Aware Detection of Prompt Injection AttacksLLM safety and security → Prompt injection and agent security
- The Quantization Trap: Breaking Linear Scaling Laws in Multi-Hop ReasoningLLM reasoning → Test-time compute and efficient thinking
- Hippocampus: An Efficient and Scalable Memory Module for Agentic AILLM agents and tool use → Agent memory systems
- AgentRob: From Virtual Forum Agents to Hijacked Physical RobotsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Diff-Aid: Inference-time Adaptive Interaction Denoising for Rectified Text-to-Image GenerationDiffusion models → Image generation, text-to-image and editing
- Rubrics as an Attack Surface: Stealthy Preference Drift in LLM JudgesLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Elo-Evolve: A Co-evolutionary Framework for Language Model AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Execution-State-Aware LLM Reasoning for Automated Proof-of-Vulnerability GenerationLLM reasoning → Reasoning for agents, planning and code
- LLM-Confidence Reranker: A Training-Free Approach for Enhancing Retrieval-Augmented Generation SystemsRetrieval-augmented generation → Generation and context integration
- DistillLens: Symmetric Knowledge Distillation Through Logit LensMechanistic interpretability → Steering and interpreting LLM reasoning +1
- Mitigating the Safety-utility Trade-off in LLM Alignment via Adaptive Safe Context LearningLLM reasoning → Reasoning for agents, planning and code +2
- OpAgent: Operator Agent for Web NavigationLLM agents and tool use → Web, search, and research agents +1
- Small Reward Models via Backward InferenceLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- AISA: Awakening Intrinsic Safety Awareness in Large Language Models against Jailbreak AttacksLLM safety and security → Jailbreaking
- LiveNewsBench: Evaluating LLM Web Search Capabilities with Freshly Curated NewsLLM agents and tool use → Web, search, and research agents
- LCM: Lossless Context Management
- Evaluating Adjective-Noun Compositionality in LLMs: Functional vs Representational Perspectives
- TAMUSA-Chat: A Domain-Adapted Large Language Model Conversational System for Research and Responsible Deployment
- PoultryLeX-Net: Domain-Adaptive Dual-Stream Transformer Architecture for Large-Scale Poultry Stakeholder Modeling
- Machine Learning for Complex Systems Dynamics: Detecting Bifurcations in Dynamical Systems with Deep Neural Networks
- Arapai: An Offline-First LLM Architecture for Adaptive Learning in Low-Connectivity Environments
- Linguistic Uncertainty and Engagement in Arabic-Language X (formerly Twitter) Discourse
- An Adaptive Multichain Blockchain: A Multiobjective Optimization Approach
- RDBLearn: Simple In-Context Prediction Over Relational Databases
- On the Dynamics of Observation and Semantics
- Detecting Deepfakes with Multivariate Soft Blending and CLIP-based Image-Text Alignment
- Attention-gated U-Net model for semantic segmentation of brain tumors and feature extraction for survival prognosis
- MamaDino: A Hybrid Vision Model for Breast Cancer 3-Year Risk Prediction
- voice2mode: Phonation Mode Classification in Singing using Self-Supervised Speech Models
- GREPO: A Benchmark for Graph Neural Networks on Repository-Level Bug Localization
- A Comparative Analysis of Social Network Topology in Reddit and Moltbook
- Common Knowledge Always, Forever
- Sufficient Conditions for Stability of Minimum-Norm Interpolating Deep ReLU Networks
- High-fidelity 3D reconstruction for planetary exploration
- How Accurately Can a Gaussian Approximate Stochastic Approximation Iterates?
- Pre-Editorial Normalization for Automatically Transcribed Medieval Manuscripts in Old French and Latin
- RPGD: RANSAC-P3P Gradient Descent for Extrinsic Calibration in 3D Human Pose Estimation
- Parameter-Efficient Fine-Tuning of DINOv2 for Large-Scale Font Classification
- Human-Aligned Evaluation of a Pixel-wise DNN Color Constancy Model
- VSAL: A Vision Solver with Adaptive Layouts for Graph Property Detection
- Ambient Physics: Training Neural PDE Solvers with Partial Observations
- Predicting fixed-sample test decisions enables anytime-valid inference
- Ensemble-Conditional Gaussian Processes (Ens-CGP): Representation, Geometry, and Inference
- ADAB: Arabic Dataset for Automated Politeness Benchmarking -- A Large-Scale Resource for Computational Sociopragmatics
- Evolving Multi-Channel Confidence-Aware Activation Functions for Missing Data with Channel Propagation
- Tutoring Large Language Models to be Domain-adaptive, Precise, and Safe
- Low-Pass Filtering Improves Behavioral Alignment of Vision Models
- sleep2vec: Unified Cross-Modal Alignment for Heterogeneous Nocturnal Biosignals
- Experimentation Accelerator: Interpretable Insights and Creative Recommendations for A/B Testing with Content-Aware ranking
- Evaluating LLM-Generated ACSL Annotations for Formal Verification
- Testing For Distribution Shifts with Conditional Conformal Test Martingales
All 180
- Physics constraints and response validation in discrete-time reduced-order modeling: from idealized turbulent systems to climate dynamics
- Cardiac Output Prediction from Echocardiograms: Self-Supervised Learning with Limited Data
- Synthetic Dataset Generation and Validation for Robotic Surgery Instrument Segmentation
- Automated Prediction of Paravalvular Regurgitation before Transcatheter Aortic Valve Implantation
- Prior-guided Hierarchical Instance-pixel Contrastive Learning for Ultrasound Speckle Noise Suppression
- VAR-3D: View-aware Auto-Regressive Model for Text-to-3D Generation via a 3D Tokenizer
- What happens when reviewers receive AI feedback in their reviews?
- The acquisition of English irregular inflections by Yemeni L1 Arabic learners: A Universal Grammar approach
- DTBench: A Synthetic Benchmark for Document-to-Table Extraction
- A Unified Physics-Informed Neural Network for Modeling Coupled Electro- and Elastodynamic Wave Propagation Using Three-Stage Loss Optimization
- Gaussian Sequences with Multi-Scale Dynamics for 4D Reconstruction from Monocular Casual Videos
- Fast Physics-Driven Untrained Network for Highly Nonlinear Inverse Scattering Problems
- Attention in Constant Time: Vashista Sparse Attention for Long-Context Decoding with Exponential Guarantees
- Cast-R1: Learning Tool-Augmented Sequential Decision Policies for Time Series Forecasting
- Joint Orientation and Weight Optimization for Robust Watertight Surface Reconstruction via Dirichlet-Regularized Winding Fields
- OMGs: A multi-agent system supporting MDT decision-making across the ovarian tumour care continuum
- StackingNet: Collective Inference Across Independent AI Foundation Models
- MechPert: Mechanistic Consensus as an Inductive Bias for Unseen Perturbation Prediction
- How Do Lexical Senses Correspond Between Spoken German and German Sign Language?
- Comparables XAI: Faithful Example-based AI Explanations with Counterfactual Trace Adjustments
- MEMTS: Internalizing Domain Knowledge via Parameterized Memory for Retrieval-Free Domain Adaptation of Time Series Foundation Models
- Foundation Model-Driven Semantic Change Detection in Remote Sensing Imagery
- Skeleton2Stage: Reward-Guided Fine-Tuning for Physically Plausible Dance Generation
- On Representation Redundancy in Large-Scale Instruction Tuning Data Selection
- Offline-Poly: A Polyhedral Framework For Offline 3D Multi-Object Tracking
- SAM4Dcap: Training-free Biomechanical Twin System from Monocular Video
- Discrete Double-Bracket Flows for Isotropic-Noise Invariant Eigendecomposition
- T2MBench: A Benchmark for Out-of-Distribution Text-to-Motion Generation
- RMPL: Relation-aware Multi-task Progressive Learning with Stage-wise Training for Multimedia Event Extraction
- Data-driven Bi-level Optimization of Thermal Power Systems with embedded Artificial Neural Networks
- Generative Latent Representations of 3D Brain MRI for Multi-Task Downstream Analysis in Down Syndrome
- Explore Intrinsic Geometry for Query-based Tiny and Oriented Object Detector with Momentum-based Bipartite Matching
- RGA-Net: A Vision Enhancement Framework for Robotic Surgical Systems Using Reciprocal Attention Mechanisms
- HybridFlow: A 2-NFE Generative Policy for Real-Time Robotic Manipulation
- Fine-tuned Vision Language Model for Localization of Parasitic Eggs in Microscopic Images
- Near-Optimal Regret for Policy Optimization in Contextual MDPs with General Offline Function Approximation
- Pailitao-VL: Unified Embedding and Reranker for Real-Time Multi-Modal Industrial Search
- Metaphors' journeys across time and genre: tracking the evolution of literary metaphors with temporal embeddings
- Optimal Regret for Policy Optimization in Contextual Bandits
- Gradient-Stable Attention Heads Signal LLM Correctness
- No Need to Train Your RDB Foundation Model
- Can a Lightweight Automated AI Pipeline Solve Research-Level Mathematical Problems?
- A WDLoRA-Based Multimodal Generative Framework for Clinically Guided Corneal Confocal Microscopy Image Synthesis in Diabetic Neuropathy
- Physics Aware Neural Networks: Denoising for Magnetic Navigation
- Symmetry-Aware Fusion of Vision and Tactile Sensing via Bilateral Force Priors for Robotic Manipulation
- On the Sparsifiability of Correlation Clustering: Approximation Guarantees under Edge Sampling
- An Ensemble Learning Approach towards Waste Segmentation in Cluttered Environment
- AllMem: A Memory-centric Recipe for Efficient Long-context Modeling
- Transferable XAI: Relating Understanding Across Domains with Explanation Transfer
- LEAD-Drift: Real-time and Explainable Intent Drift Detection by Learning a Data-Driven Risk Score
- Advancing Analytic Class-Incremental Learning through Vision-Language Calibration
- EchoTorrent: Towards Swift, Sustained, and Streaming Multi-Modal Video Generation
- ALMo: Interactive Aim-Limit-Defined, Multi-Objective System for Personalized High-Dose-Rate Brachytherapy Treatment Planning and Visualization for Cervical Cancer
- Optimized Certainty Equivalent Risk-Controlling Prediction Sets
- Zero-Order Optimization for LLM Fine-Tuning via Learnable Direction Sampling
- Optimizing Point-of-Care Ultrasound Video Acquisition for Probabilistic Multi-Task Heart Failure Detection
- Cumulative Utility Parity for Fair Federated Learning under Intermittent Client Participation
- Joint Time Series Chain: Detecting Unusual Evolving Trend across Time Series
- Hierarchical Audio-Visual-Proprioceptive Fusion for Precise Robotic Manipulation
- Layer-Guided UAV Tracking: Enhancing Efficiency and Occlusion Robustness
- Optimization-Free Graph Embedding via Distributional Kernel for Community Detection
- A generalizable foundation model for intraoperative understanding across surgical procedures
- Benchmark Leakage Trap: Can We Trust LLM-based Recommendation?
- Anthropomorphism on Risk Perception: The Role of Trust and Domain Knowledge in Decision-Support AI
- Locally Private Parametric Methods for Change-Point Detection
- From What to How: Bridging User Requirements with Software Development Using Large Language Models
- Multi-Modal Sensing and Fusion in mmWave Beamforming for Connected Vehicles: A Transformer Based Framework
- Two-Stream Interactive Joint Learning of Scene Parsing and Geometric Vision Tasks
- A First Proof Sprint
- Interpretable clustering via optimal multi-way decision trees
- Differentiable Rule Induction from Raw Sequence Inputs
- Who Do LLMs Trust? Human Experts Matter More Than Other LLMs
- Scenario-Adaptive MU-MIMO OFDM Semantic Communication With Asymmetric Neural Network
- Discrete-Space Generative AI Pipeline for Semantic Transmission of Signals
- Privacy-Concealing Cooperative Perception for BEV Scene Segmentation
- Out-of-Support Generalisation via Weight-Space Sequence Modelling
- Nighttime Autonomous Driving Scene Reconstruction with Physically-Based Gaussian Splatting
- On Calibration of Large Language Models: From Response To Capability
- Fast Swap-Based Element Selection for Multiplication-Free Dimension Reduction
- QuaRK: A Quantum Reservoir Kernel for Time Series Learning