Papers
Sat 4 Jul 2026
188 papers
- VFA: Empowering Multilingual MLLMs via Vision-Free AdaptationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Agentao: A Policy-Governed Runtime Harness for Embeddable Tool-Using LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Humans are Missing from AI Coding Agent ResearchLLM agents and tool use → Software engineering coding agents
- From Survey Personas to LLM Agents: A Generative Agent-based Simulation of Mobility Policy Preference DynamicsLLM agents and tool use → Social simulation and multi-agent debate
- Telco-GAIA: Bilingual Benchmark for Agents in Telecom DomainLLM agents and tool use → General LLM agent frameworks and benchmarks
- HyGRL: Adaptive Hybrid Graph Reasoning for Multi-Entity QuestionsLLM reasoning → Knowledge- and tool-augmented reasoning +1
- HyperDCM: Dynamic Cluster Memory Replay in Hyperbolic Space for Continual Robotic Navigation Across ScenesDiffusion models → Diffusion and flow policies for robotics
- Towards Self-Evolving Agents: A Human-Inspired Adaptive Exploration-Exploitation Framework for Genetic Network ProgrammingLLM agents and tool use → General LLM agent frameworks and benchmarks
- Unified Backbone Refinement for Diffusion Models via Internal-Latent AnalysisDiffusion models → Diffusion foundations and sampling
- Task-Conditioned Synthetic Data Generation for Improving Machine Learning Performance in Agricultural Prediction TasksSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- Context Graphs for Proactive Enterprise AgentsRetrieval-augmented generation → Agentic RAG, agents and memory +1
- Reward-Gated On-Policy DistillationLLM reasoning → Prompting and chain-of-thought reasoning +1
- The "I Don't Know" Filter: Enhancing Agentic Reliability in Function CallingLLM agents and tool use → General LLM agent frameworks and benchmarks
- Candidate-Constrained Retrieval-Augmented Generation for LongEval-RAG: System Design and Empirical AnalysisRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Refused in Chat, Written in Code: Workflow-Level Jailbreak Construction in IDE Coding AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- Worldscape-MoE: A Unified Mixture-of-Experts World Model for Scalable Heterogeneous Action ControlWorld models → Embodied and robot world models +1
- Neuro-Symbolic Reasoning for Vulnerability DetectionLLM reasoning → Reasoning benchmarks and evaluation
- Reward Lightning: Fast Video Generation via Homologous Preference DistillationDiffusion models → Video generation +1
- NormWorlds-CF: Solver-Verified Counterfactual Normative Reasoning with Metamorphic-Relation GRPOLLM reasoning → Mathematical reasoning
- The Remarkable Effectiveness of Providing AI Agents with Natural Language Tools: A Replication Study Validating NLT Performance Across 14 ModelsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Online Linear Programming for Multi-Objective Routing in LLM ServingEfficient LLM inference and serving → Serving systems and request scheduling
- ThermoForce: A Physics-Structured Interventional World Model for Building HVAC ControlWorld models → Latent predictive world models
- MPSelectTune: Prompt-type Selection for Fine-tuning improves Concept Unlearning in LLMsLLM safety and security → Machine unlearning
- CDCP: Conditional Diffusion Model with Contextual Prompts for Multi-task Offline Safe Reinforcement LearningDiffusion models → Diffusion and flow policies for robotics +1
- USE: A Unified Self-Ensembling Framework for Test-Time Prompt TuningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- DICT: Data Injection and Contrastive Trajectory Refinement for Conditional Image Generation with Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- AdaptiveSD A Stability-Aware, Runtime-Adaptive Speculative Decoding Framework with Multi-Policy Orchestration for CPU-Constrained LLM InferenceEfficient LLM inference and serving → Speculative decoding
- High-Fidelity One-Step Generative Visuomotor Policy via Recursive Correction, Frequency Consistency, and Contrastive Flow MatchingDiffusion models → Diffusion and flow policies for robotics
- Rethinking Scientific Discovery in the Agentic EraLLM agents and tool use → Web, search, and research agents
- CogRad: A Cognitively-Inspired Multi-Agent Framework for Radiology Report GenerationLLM agents and tool use → Medical and scientific domain agents
- ContiStain: Cross-Domain Relation-Preserving Distillation for Continual Multi-Domain Virtual IHC StainingMixture-of-experts → Medical and biomedical MoE
- When Simpler Is Better: Evaluating Translation Pipelines for Medieval Latin ManuscriptsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- How Do Diffusion Classifiers Decide? A Bias-Centric EvaluationMultimodal LLMs / vision-language models → Image editing and quality assessment +1
- DualView: Preventing Indirect Prompt Injection in Personal AI AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- Global Logic and Local Search: Dual-Stream Multimodal In-Context Learning for Verifiable Industrial Anomaly DetectionMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- CineMobile: On-Device Image-to-Video Diffusion for Cinematic Camera Motion GenerationDiffusion models → Video generation
- Tensor-Train Joint Modeling for Few-Step Discrete DiffusionDiffusion models → Diffusion foundations and sampling
- Self-Improving Diffusion Classifiers with Minority Preference OptimizationLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment +1
- Semantic-aware and Self-improving Program Reduction via Agentic Large Language ModelsLLM agents and tool use → Software engineering coding agents +1
- Look Before You Leap: Distilling Tree Search into Action Evaluation for Frozen VLA ModelsVision-language-action models → VLA architectures and generalization
- Bridging Interleaved Multi-Modal Reasoning as a Unified Decision ProcessLLM reasoning → Multimodal reasoning
- Attending to Multimodal Generation One Token at a TimeMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- CoGen3D: An Agentic Human-AI Co-Design Pipeline for 3D Asset Generation for Virtual RealityLLM agents and tool use → Multimodal and embodied agents
- ProACT: Towards Breakdown-Aware Proactive Agent in Multi-User CollaborationLLM agents and tool use → General LLM agent frameworks and benchmarks
- GRASP: Graph-Reasoning Aided Survey Planning for High-Fidelity Related Work GenerationLLM reasoning → Knowledge- and tool-augmented reasoning
- Explainable Reinforcement Learning for Adaptive Traffic Signal ControlDeep reinforcement learning methods → RL for autonomous driving and traffic
- Agent Reinforcement Learning via Pivotal-Aware Self-Feedback RetryLLM agents and tool use → Reinforcement learning for LLM agents +1
- Social Networks of LLM AgentsLLM agents and tool use → Social simulation and multi-agent debate
- CoRE-VLA: Towards Scalable and Robust Vision-Language-Action Modeling via Conditional Routing of ExpertsVision-language-action models → Generalist VLA models and benchmarks
- Don't Blame the Large Language Model: How Agent Harness Evolution Shapes Coding Agent QualityLLM agents and tool use → Software engineering coding agents
- PathMark: Protecting Intellectual Property of Mixture-of-Expert LLMs via Path WatermarksLLM safety and security → Watermarking generated content and models
- Diffusion learning reveals viable parameter manifolds and compensation geometry in biological dynamical systemsDiffusion models → Diffusion foundations and sampling
- From Geometric Labels to Semantic Understanding of Indoor Building Components Using Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- ViPo-MLLM: Visual-Pose Multimodal LLM for Gloss-Free Sign Language TranslationMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- AutoCedar: An Agentic Framework for Verifier-Guided Access Control Policy SynthesisLLM agents and tool use → Agent threats, guardrails and governance
- Do Medical Vision Language Models Actually See? A Counterfactual Grounding Framework and Hard-Negative Contrastive Training for Visually-Reliant Medical VLMsMultimodal LLMs / vision-language models → Medical vision-language models
- GEPARD - Generative, Prosody-aware, Autoregressive text-to-speech model for Realtime Dialogue
- Distilled Rapid Embedding Transfer (DRET): Parameter-Efficient Biomedical Domain Adaptation via Priority-Based Embedding Transfer
- C3-UniMM: Causal Cycle-Consistent Unified Multimodal Modeling via Super Alignment and Shared Decoding Space
- Selection Bias Correction in Retail Intelligence
- Position: AI Leaderboards Are Underserving the Global South: A Case Study from India
- Regulatory Approval Is Not Enough: Gaps in Trustworthy AI Reporting in FDA-Cleared Medical Devices
- Interaction Readiness: A Framework for Building and Evaluating AI Agents in Human Roles
- Measuring Curriculum-Labor Market Alignment at the Scale of a Program Portfolio
- Cloud-Native Evaluation-as-a-Service: A Microservices Architecture for Scalable AI Monitoring with Conformal Guarantees
- Memory Merge DQN: Sensitivity Weighted Target Updates for Stable Value Learning
- Data-Driven Forward and Inverse Modeling of V-Beam Thermal Sensors
- SHIFT: Survival Prediction from Incomplete and Heterogeneous Genomic Data
- Uncertainty-gated selection for block-sparse attention
- Omni-Sleep: A Sleep Foundation Model via Hierarchical Contrastive Learning of CNS-ANS Dynamics
- ReCoLoRA: Spectrum-Aware Recursive Consolidation for Continual LLM Fine-Tuning
- LLT: Local Linear Transformer for PDE Operator Learning
- Who Gets Missed in the Tail? Thresholded Subgroup Underdiagnosis in Long-Tailed Chest X-ray Classification
- Towards the Explainability of Temporal Graph Networks via Memory Backtracking and Topological Attribution
- Trajectory Inference of Human Aging from Cross-Sectional DNA Methylation Data
- BitFair: A 12-nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision
- PreSIST: Vision-Language-Informed Object Persistence Prediction in Open-World Scenes
- A Policy Decomposition Framework for Dynamic Order Fulfillment Operations
- What is Left for Us? Second Scholarship Against the Degradation of Research by AI
- SiamJEPA: On the Role of Siamese Student Encoders in JEPA
- OmniOpt: Taxonomy, Geometry, and Benchmarking of Modern Optimizers
- Efficient Discovery of Conditional Dependencies with Desbordante
- CrossHallu: Do Hallucination Signals Generalize Across Languages and Domains in Large Language Model's Internals?
- A Unified Algebraic Framework for Classification Performance Evaluation
- Paired Uterine Whole-Slide Images and Pathology Reports for Multimodal Computational Pathology
- Finite Reliability Representations: Noise-Calibrated Belief-Space Covers for Reliable Decision-Making
- SAGE: Synchronized Action-Gaze Recognition and Anticipation for Human Behavior Understanding
- When Does Small Data Work? Accuracy and Efficiency Trade-offs Between Tabular Foundation Models and Conventional Methods for Crowd-State Classification at Hajj and Umrah
- Separating Representation from Reconstruction Enables Scalable Text Encoders
- Explainable AI for Screening Abuse-Related Trauma in Bangladeshi Children: A Training-Free Multimodal Framework Evaluated on Noise-Aware Synthetic Data
- Significance-First Splitting: Aligning Treatment Heterogeneity Detection with Honest Estimation
- Directional Curvature from Armijo Backtracking: A Low-Cost Sharpness Probe and a Calibration-Free Learning-Rate Safeguard for Adam
- One Image, No Tokens: A Controlled Study of Glyph-Based Chinese Language Modeling
- Knowing When to Stop: Predicting Execution-Consistency Convergence in Text-to-SQL
- InSpace: Structure-Aware 3D Indoor Scene Generation from a Single 360deg Image
- NouveauVoice: Generating Novel Pseudo Speakers for Voice Anonymization
- BanglaMemeEvidence: A Multimodal Benchmark Dataset for Explanatory Evidence Detection in Bengali Memes
- Scalable Semantic Steering of Embedding Projections
- TRACER: Early Failure Detection for Task-Oriented Dialogue
- MANCE: Manifold Aware Concept Erasure
All 188
- DS-SAC: Density Search for Sample Consensus
- Order-based Causal Discovery for Multistage Processes
- Cross-Modal Fusion of OCT and OCT angiography enface for Improved Diagnostics of Diabetic Retinopathy
- Why3-py: A Tool for Formal Verification of Hypothesis Testing and Meta-Analysis in Python
- TESSERA v2: Scaling Pixel-wise Earth Foundation Models
- A Large-Scale Dataset and a New Method for RemoteSensing Traffic Object Segmentation
- Can Dialects Be Steered Like Languages? Sparse Neurons and Distributed Directions in Arabic LLMs
- Harness-Aware Self-Evolving: Co-Evolving Model Weights, Harness, and Task Solutions
- EgoInertia-MI: A Multimodal Egocentric Vision and IMU Benchmark for Motor Impairment Assessment
- GLOW-FDG: Generalized cancer LesiOn Whole-body segmentation model for 18F-FDG-PET/CT
- Probe, Don't Prompt: A Hidden-State Probe for Metadata Filtering in Multi-Meta-RAG
- TokAN: Accent Normalization Using Self-Supervised Speech Tokens
- TabQueryBench: A Query-Centric Benchmark for Synthetic Tabular Data
- NeuroOnline: Bridging Pretraining and Online Adaptation for EEG Foundation Models
- NavEYE: Vision-Centered Multi-Sensor Fusion-Based Situational Awareness System for Intelligent Surface Vehicles
- Transformers with Physics-Informed Encodings and Simulation-Based Inference for Robust Detection of Eccentric Binary Black Holes in Pulsar Timing Array Data
- BAT3R: Bootstrapping Articulated 3D Reconstruction from 2D Image Collections
- Advanced Topic Modeling Techniques for Categorizing Software Vulnerabilities
- Enhancement of E-commerce Sponsored Search Relevancy with LLM
- SGF-CDNet: A Consistency-Discrepancy Graph Network over Semantic-Geometric Fused Nodes for Face Forgery Detection
- Consistent but Miscalibrated: Evaluating LLM Limitations for Risk Communication in Natural Language
- Smooth %MinMax: A Differentiable Relaxation for Codon Harmonization
- Next-Gen Sponsored Search: Crafting the Perfect Query with Inventory-Aware RAG (InvAwr-RAG) Based GenAI
- MACRO: Training-free Multi-plane Attention for Closeup Render Optimization
- SharpSplat: Edge-Regularized 3D Gaussian Splatting for High Fidelity Urban Building Reconstruction from UAV images
- A Gradient Flow Perspective on Minimum MMD Estimation
- Evaluating LLM Uncertainty in Long-Form Generation Using Deterministic Ground Truth
- GeoSelect: Spatial-Program Execution for Training-Free Referring Remote Sensing Image Segmentation
- Ghosts Beneath Textures: Texture-Relation Cues for Cross-Paradigm AI-Generated Image Detection
- A Unified Framework for Quantized and Continuous Strong Lottery Tickets
- PRISM3D: Probabilistic Refinement and Robust Initialization for Physically Consistent Scene Modeling under Extreme Motion Blur
- NeSy-CSA: A Neuro-Symbolic Framework for Open-Ended Critical Scenario Attribution
- Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning
- Weave: Verified Netlist-to-Schematic Conversion via Layered Graph Layout
- Beyond Static Rules: Automated Discovery of Latent Vulnerabilities in Text-to-SQL
- Q-TriM: Question-Guided Tri-Modal Attention for Audio-Visual Question Answering
- Targeted Highly Adaptive Lasso Minimum Loss Estimation of Target Functions
- FDR-Occ: Factorized Dense Routing for Full-Spectrum 3D Occupancy Prediction
- CGGS: Consistency-Augmented Geometric Gaussian Splatting for Ego-Centric 3D Scene Generation
- TRISTAR: Triple-Signal Stair Recognition and Vision-Only Indoor Navigation for Search-and-Rescue Micro-UAVs
- A simplex-based measure of symmetry
- TestMate: Test-Time Domain Adaptation Aided by Lightweight Vision Foundation Model
- Stable Global Weighting of Flow Mixtures using Simplex Exponential Moving Average
- Probing Low-Level Acoustic Attribute Encoding in CLAP Audio Embeddings
- Punching Above Their Weight: Classification-Head Fine-Tuning of Tiny Language Models (TLMs) for Verifiable Multiple-Choice Tasks
- Foundations of Equivariant Deep Learning: Unifying Graph and Sheaf Neural Networks
- Probabilistic Robustness in Medical Image Classification
- InfraNet: Quality-Aware RGB Guidance for Efficient Infrared Object Detection
- From Region Arrival to Instance-Level Grounding in Vision-and-Language Navigation
- TSP with Predictions: Heatmap to Tour with Provable Guarantees
- G2TAM: Geometry Grounded Track Anything Model
- Folding, Reasoning, and Scaling with Open-source Drug Discovery Engine
- Rethinking Depth Pruning for Vision Transformers: A Heterogeneity-Aware Perspective
- Conservative Subject Invariant EMG-based Gesture Recognition
- SkillFab: An Agent-Native Skill Production Platform
- City-Level 3D Surface Reconstruction with Viewpoint Orientation Partitioning and Scene Completion
- GALOSH: Blind, Training-Free Denoising of Raw Bayer and sRGB Images by Parallel-Friendly Local Shrinkage
- Sparse-View Surface Reconstruction using Gaussian Splatting through High-Confidence Depth Propagation with Normal Priors
- Deep Learning-Based Characterization of Detonation-Cell Size Distributions in Soot-Foil Records
- FedACT: Federated Adaptive Coordinate Trust Modulation for Robust Transformer Training under Data Heterogeneity
- SAVER: Stochastic Adaptive Variance-Driven Exploration and Reconstruction for Low-Dose Computed Tomography
- GeoSAM-Lite: A Lightweight Foundation Model for Onboard Remote Sensing Segmentation
- Exploring SAM Supervision for Fine-Grained UAV Target Segmentation under Data Scarcity
- EmCom-Diffusion: Probing Visual Reflection in Emergent Languages via Image Generation
- Can Conversational Temporal Dynamics Improve Depression Detection in Dyads? A Preliminary Investigation in Multi-Modality Perspectives
- Triple-Phase Multimodal Knowledge Aggregation Framework for Microbial Keratitis Subtype Diagnosis on Slit-Lamp Photography
- A Failure-Mode Benchmark for Polymorphic Sybil Poisoning in RAG
- ProxyUp: Training-Free Proxy-Conditioned Video Generation for Controllable Dynamics
- SelfMem: Self-Optimizing Memory for AI Agents
- OmniTacTune: Policy-Agnostic Real-World RL for Tactile Residual Adaptation of Visual Policies
- Leveraging Pathology Co-occurrence for Test-Time Adaptation in Chest X-Ray Diagnosis
- Optimizing Large Language Models for Causality Assessment in Pharmacovigilance: Developing a Performance Metric as Objective for Bayesian Hyperparameter Optimization
- SABLE: An NDA-Safe Closed-Loop LLM Framework for Analog Circuit Optimization in Industrial EDA Flows
- IPDiff: Diffusion-driven ORSI Salient Object Detection with Information Reconstruction and Multi-Prior Guidance
- Robust Feasible Route Construction through Collaborative Partition Optimization
- PIEFS: Physics-Informed Eigenfunction Features with Learnable Scaling
- LRX-PINN: A Layer-Resolving XNet Physics-Informed Neural Network with Integrated Cauchy Activations for Convection-Dominated Problems
- Annotating Korean adnominal ending constructions in corpus data: Beyond relative-clause identification
- Rethinking AI-Generated Text Detection: A Strong Baseline and the Distribution-Shift Problem That Remains
- Validation-Induced Shapley Shifts: How Validation Structure Distorts Data Valuation
- A Structural Interpretation of GELU and Threshold-Transmission Activations via the First-Order Loss Function
- Phase-Preserving Trimodal Transformer for Tropical Forest Biomass Estimation Using Optical and PolInSAR Data
- Sequential Correlations Change In-Context Learning: Effective Context Length and Architectural Mismatch
- A Fair Benchmarking of Deep Relational Database Learning Models
- ThreatVisionAI: A Hybrid CNN-ViT Framework for Image-Based Malware Classification
- ELiTeFormer: An Efficient Transformer for FPGAs
- LLM-Guided Transportation Hub Capacity Planning with Textual Business Inputs
- ClinOCR-Bench: A Comprehensive Clinical Scanned Document Dataset for Optical Character Recognition Model Evaluation