Papers
Sun 26 Jul 2026
213 papers
- Resist, Update, Reject: Preference Optimization Installs a Prior-Dependent Reliability SwitchLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- When Does Memory Help? A Cost-Aware Evaluation of Long-Term Memory in Tool-Using LLM AgentsLLM agents and tool use → Agent memory systems
- From Blind Edits to Verified Repair: Building Trustworthy User-Side LLM Agents for Web AccessibilityLLM agents and tool use → GUI and mobile agents
- Safety Alignment Illusion: The Cross-Lingual Safety Gap in LLMsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- MetaSpace: Metamorphic Testing for Spatial Cognition in Embodied AgentsLLM agents and tool use → Multimodal and embodied agents
- RAG-TESTER: Automated End-to-End Testing of Retrieval-Augmented Large Language ModelsRetrieval-augmented generation → RAG pipeline design and evaluation
- Asymmetric Collapse in Model Merging: When Refusal Over- writes RecognitionLLM safety and security → Safety alignment, refusal and guardrails
- Cross-Model Cross-Language AI Coding Agent Performance: Accuracy and Speed of Parallel CLRS AlgorithmsLLM agents and tool use → Software engineering coding agents
- HVM-GraphRAG: Holistic-View Multimodal Graph Retrieval-Augmented Generation on Complex DocumentRetrieval-augmented generation → Multimodal RAG
- The Mirage of LLM Guardrails: A Case Study in AI-Assisted Medical Note ManipulationLLM safety and security → Safety alignment, refusal and guardrails
- A Comparative Study of MCP and A2A for Inter-Agent Coordination in LLM-Based SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- OmniCache: Multidimensional Hierarchical Feature Caching For Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- TriShieldRAG: 3 Rings, One Blind Spot in Layered Defenses for Retrieval-Augmented GenerationRetrieval-augmented generation → Privacy and security of RAG
- SCTA: An Agentic Framework for Stable and Interpretable Target Gene Discovery from Single-Cell RNA SequencingLLM agents and tool use → Medical and scientific domain agents
- Kalypso: Relational LLM ServingEfficient LLM inference and serving → Serving systems and request scheduling
- Memory Efficient Audio Synthesis with Decoupled Temporal Depth Diffusion TransformersDiffusion models → Audio, speech and music
- ACM: Agentic Context Management for Long Horizon TasksLLM agents and tool use → Agent memory systems
- From RLVR to RLSVR: Task Transformation Induces Self-Verifiable Rewards for Open-Ended LLM Self-ImprovementLLM reasoning → Reinforcement learning for reasoning +2
- PathScale-R1: Cross-scale Reasoning for Pathological Image AnalysisLLM reasoning → Clinical and biomedical applications
- A Few Words Go a Long Way: Language Guided Robot Policy SynthesisVision-language-action models → Failure recovery and robustness
- N0-TWAM: Scaling Tactile-Native World-Action Model for Contact-Rich ManipulationWorld models → Embodied and robot world models
- Escaping the Euclidean Void: Manifold-Informed Flow Matching for Sequential RecommendationDiffusion models → Diffusion recommenders
- Outcome-Confounded Local Supervision in On-Policy DistillationKnowledge distillation → On-policy and self-distillation for LLMs
- Hierarchical Soft Actor-Critic for Sparse-Reward Long-Horizon Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- E-Bench: Benchmarking Multi-Step Tool-Use Agents in Real-World Product ScenariosLLM agents and tool use → Tool learning and function calling
- LabRobFail: A Benchmark for Robotic Failure Analysis in Chemical Self-driving LaboratoryEnd-to-end autonomous driving → Large language models for driving
- Offline-Online Curriculum RL for Multimodal ReasoningLLM reasoning → Multimodal reasoning +1
- Offline-to-Online Creative Optimization with Generative Models and Adaptive TestingOffline RL and imitation learning from data → Diffusion and flow policies for offline RL
- Compute Globally, Materialize Locally: The Memory Contract of Sparse Event-KVEfficient LLM inference and serving → Efficient reasoning and agent inference
- Perturbation-Aware Diffusion-Guided Hybrid Segmentation for Robust and Annotation-Efficient Plant Stress PhenotypingDiffusion models → Inverse problems and image restoration
- Breaking the Total Variance Barrier: Sharp Sample Complexity for Linear Heteroscedastic Bandits with Fixed Action SetDeep reinforcement learning methods → RL theory and sample complexity
- Focus Is All You Need: Adaptive Goal-aware Attention Orchestration for Multi-Agent Graph SystemsLLM reasoning → Reasoning for agents, planning and code +1
- Rethinking Logic Optimization Operators: Theory-Derived Operator Compression via Agentic Source AnalysisLLM reasoning → Reasoning for agents, planning and code
- Plans Work in Mysterious Ways: Evaluating a Plan Mode for Spreadsheet AgentsLLM agents and tool use → Financial trading and forecasting agents
- PathSelect: Sequential Token Selection for Whole Slide PathologyMultimodal LLMs / vision-language models → Medical vision-language models +1
- Where Is the Tradeoff in Using Third-Party API Routers for Agentic Software Development?LLM agents and tool use → Agent threats, guardrails and governance
- Optimal Reward Shaping: Autonomous Car Parking Case StudyDeep reinforcement learning methods → RL for autonomous driving and traffic
- Restoration Flow Matching-Based Channel Refinement and Equalization Correction for MIMO Semantic CommunicationsDiffusion models → Diffusion for compression and wireless
- Hybrid Advantage Estimation with Unified Critic for VLM Agentic Reinforcement LearningMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Action from Adjacent Set in Physical Space Outperforms the Best Prediction in World ModelsWorld models → Embodied and robot world models
- Anticipatory Risk-Guided Reinforcement Learning for Safe Flight Through Dynamic ClutterDeep reinforcement learning methods → RL for robot navigation and UAV control
- ObsDriveBench: Benchmarking Multimodal Understanding under Adverse Weather with Observability AwarenessMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- Real-Time Human-Centric World Modeling for Upper-Body Human-Object InteractionWorld models → Embodied and robot world models
- Novel Claim or D'ej`a Vu? Rethinking "Contamination-Free'' Dynamic Evaluation for Multimodal Automated Fact-CheckingLLM reasoning → Reasoning benchmarks and evaluation
- Do Diagrams Help Large Language Models Reason? Evidence from Syllogistic ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- MOJITO: Modal Joint Learning for Unified End-to-End Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
- Do LLMs Know Their Vulnerable Scenarios?LLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +2
- To Erase, or Not to Erase: Robust Training-Free Concept Erasure with Preservation aware Adaptive Ranked Subspace ExpansionDiffusion models → Robustness, privacy and adversarial aspects
- Learning Sampling Parameters for Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics
- Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- VIPER: Visual In-Context Physics Reasoning for Physically Plausible Video GenerationLLM reasoning → Spatial and embodied reasoning
- When Every Simulation Counts: Value-Based Reinforcement Learning for Accelerated Photonics Inverse DesignDeep reinforcement learning methods → Quantum reinforcement learning
- Direction-adaptive Mamba: Spatial-Frequency Dual-Domain Collaborative Learning for PolSAR Image ClassificationState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- Two Regimes of Chain-of-Thought Unfaithfulness: Metric-Based Detection Fails Where Models Are WrongLLM reasoning → Prompting and chain-of-thought reasoning
- Omni-Prune: Query-Aware Unified Token Pruning for Efficient Omnimodal Large Language ModelsLLM reasoning → Multimodal reasoning +1
- Isolated but Exposed: Persistence-Based Memory Extraction Attack on LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Reasoning or Memorization: Can LLMs Understand and Generate Chinese Xiehouyu Riddles?LLM reasoning → Reasoning benchmarks and evaluation
- Separating Capability from Permission: A Governance Framework for Agentic AI Autonomy LevelsLLM agents and tool use → Agent threats, guardrails and governance
- Two-Timescale Hierarchical Reinforcement Learning for Resilient OperationsDeep reinforcement learning methods → Deep RL algorithms and representations
- LA-RL: Label-Aware Self-Reflection for Reinforcement Learning in Information ExtractionDeep reinforcement learning methods → RL training of language and agent models
- Beyond Short Segments : Expanding Speaker Embeddings with Vector Archives
- What Does 99% Accuracy Measure? A Reproducible Audit of Shortcut Learning in a Widely Used Fake News Corpus
- Subdomain-aware representation compression for pretrained image embeddings
- SoftTri: Smooth Triangular Membership Functions for Adaptive Fuzzy Inference Systems
- Role differentiation as ignition of a collective information engine: Structuration in Agent Populations
- Analyzing and Correcting Benevolence Bias in Large Language Models
- Interrupting the Chain: Human Perception of AI-Generated Disinformation Through a Kill Chain Lens
- Causal Inference under Interference with Learned Exposure Mappings
- Interaction valence reveals contrasting social networks in dairy cattle
- Average Distance Approximation for Static Large Graphs
- Eleven Years of BRACIS: A Meta-Scientific Study of the Brazilian Conference on Intelligent Systems
- A Trust-region Framework for Moment Estimation
- PULSE: An Executable Contract Language for Spatiotemporal Knowledge Graph Engineering
- Multimodal Auto-regressive Transformer Surrogate for Modeling Variable Operations and Quantifying Uncertainty in Geological Carbon Storage
- Deep Divide-and-Reduce in Symbolic Regression
- Fast Trainable Multilinear Bases for Image Compression
- Hybrid-Field Sparse Channel Representation and Recovery for XL-RIS-Assisted mmWave MIMO Systems
- LAWFUL: Law-Aligned Witness for Faithful Use of Latents
- Ranked by Position: Order Sensitivity as an Exploitable Attack Surface in LLM Listwise Recommenders
- Research Report on Noise-Shaped One-Bit Coefficients in Discrete Polynomial Fourier Extension
- Tokens are All You Need: Dual-purpose Semantic IDs for Achieving LLM-Level I/O Efficiency in recommendation systems
- DisasterTD: Disaster Toponym Disambiguation Using Multimodal LLMs and Cross-View Geolocalization
- Cost-Aware Recovery-Pathway Identification and Bayesian Optimization for Autonomous Materials Discovery
- Who Gets Named: Citation Type Predicts Individual Naming by Grounded Language Models, and a Roster Instrument Captures 0.5% of It
- Visible to the Court: How AI Is (and Isn't) Litigated in U.S. Federal Court Opinions
- Harnessing X-ray Absorption Spectroscopy Data through Multimodal Mining of Battery Literature
- Long-Tailed Medical Image Classification
- ADVERSARIAL: And-Inverter Graph-Assisted Hardware Trojan Detection At Scale
- Physics-Informed Neural Networks for Predicting Nitrous Oxide Flux
- Flash-CNNCap: Capacitance Extraction via Image Mapping
- MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents
- A Coulomb Particle Model for Learning Kernel Attention in Transformers
- XMix: Combating Extremely Noisy Labels via Local Smoothness in Self-Supervised Feature Space
- Head Avatars with Dynamic Explicit Hair
- Controllable Diversity in Normalization-Based Implicit Ensembles via Softmax-Temperature Modulation
- Covariance Last-Layer Ensembles: Function-Space Diversity for Efficient Uncertainty Quantification
- OmniVAE: An Audio-Video VAE with Cross-Modal Alignment for Joint Generation
- Understanding Human-like Solutions in Combinatorial Optimization via Learning and Search
- Do Visual Features Improve Other-Initiated Repair Detection? A Dyadic Multimodal Approach
- Limbomorphs
All 213
- STEER: Steerable Dyadic Head Avatars
- Latent-LoRA: Compact Latent-Space Adapters with Gradient-Free Routing for Continual Learning
- Consistent Evidence, Robust Recognition: Faithful Attribution Regularization under Geometric Transformations
- DriveDNA: A Large-Scale Multimodal Naturalistic Driving Dataset and Benchmark for Driving Style Identification
- Earnings25: A Comprehensive 500-Hour Speech Benchmark for Finance
- Indic DiarBench: A Multilingual Joint Diarization and ASR Benchmark for Indian Languages
- A Frozen 12B Beats Frontier Models on Verified Work: 100% Accuracy, 0 Tokens, Bit-Exact, Forever
- How Context Attribution Handles What the Model Already Knows
- Beyond Appearance: A Multi-cue Framework and Large-scale Benchmark for Pedestrian Association and Tracking on Mobile Aerial-Ground Platforms
- GNN-based Multi-Agent Control of Traffic Shockwaves in Sparse Vehicular Ad-hoc Networks
- Maximum Satisfiability of Simple Temporal Problems
- Scale Weight Decay and Train Better
- Outcome-Fair Restless Multi-Armed Bandits for Stochastic Deadline Scheduling
- Training Language Models to Cooperate with Inference-Time Controllers
- A Comparison of Data Augmentation Methods for Training Deep Neural Networks on Synthetic Aperture Sonar
- WISERouter: LLM Routing with Workload Budget Constraint
- RoadVGGT: Road-Structure-Aware Feed-Forward Road Surface Reconstruction
- DAP-Pose: Deep Temporal Alignment and Physics-aware Cross-modal Sensor Fusion for Robust Pose Estimation
- On the post-hoc Evaluation of PDE Discovery: A Multifaceted Challenge of Scientific Advancement
- Soft-Constrained Optimization of Latent Space in Variational Autoencoders
- ZenGen: Social Mind for LLMs
- Source-Free Controlled Adaptation of Teachers for Continual Test-Time Adaptation
- TRUAV: Distributed Multi-Agent Reinforcement Learning for Trajectory Planning and Routing Enhancement in UAV-Aided IoT-Enabled VANETs
- AI Strategy: How to Choose What AI Product to Implement
- An Exact Counterexample to Carlson's Associated-Prime Depth Conjecture from a Group of Order 128
- Recovery of latent inner products from an anisotropic Gaussian random geometric graph
- Distributional Split Criteria for Random Forests: Extensions, Shrinkage, and the Robustness of Mean Splitting
- Formally Verified Synthesizable Floating-Point Data Types in ARCH HDL
- The Intruder Threshold: A Spectral Law for LoRA Fine-Tuning
- The Illusion of Secure LLM Code: Closing the Security Gap via Iterative Reprompting
- Parameter-Efficient Adaptation of SAM3 for Prompt-Driven Surgical Concept Segmentation
- GNM Head: A Generative aNthropometric Model of the human head
- Extreme Volatility Warning under Label Scarcity via Multi-Source Anomaly Fusion
- SpecAHD: Localize to Specialize for Automated Heuristic Design in Large-Scale Routing Problems
- An empirical investigation into the properties of standard word embeddings
- Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation
- RRTrack: Robust and Recoverable Object 6D Pose Tracking for Dynamic Scenes
- No Free Lunch in Flow Surrogates under Time-Varying Boundary Conditions: A Two-Regime Study
- XMatchAD: A Cross-Modal Matching Perspective on Reconstruction-based Anomaly Detection
- GRAPE: Graduated Routing for Articulated Portrait mesh Estimation
- DP-IVON-Gradsq: Differentially Private Squared-Gradient Improved Variational Online Newton
- EmoTrace: An Emotion Trajectory-Centered Framework for Psychological Support Dialogue Generation
- CALMRec: Causally Aligned Language Memory for Long-Horizon Recommendation
- Neural Network Learning of One-Bit Protocols for Qubit Measurement Simulation
- When Rates Are Geometric: Rate-Certificate Transfer for Contact Splittings in Optimization
- Distributed Convolutional Rank Regression over Decentralized Networks
- WGDnet: Wishart-guided Geometric-aware Deep Network for PolSAR Image Classification
- Extending Desbordante with Probabilistic Functional Dependency Discovery Support
- Variational-Ising-Attention:Tailored Attention Matters for Science
- A Controlled Visual-Backbone Benchmark for Multimodal Short-Term Solar Irradiance Forecasting
- Order in Desbordante: Techniques for Efficient Implementation of Order Dependency Discovery Algorithms
- Segmentation Robustness and Predictive Utility in Glioblastoma Radiomics: Evidence for a Trade-off in Survival Modelling
- GEMCo: A Validated, Ethically Releasable Proxy for Inaccessible Counselling Data
- DualityCert: Verifier-Gated Language-Model Repair of Broken Duality Claims in Quantum Field Theory
- Markerless Motion Capture in Routine Clinical Upper Limb Assessments: Validity and Insights Beyond Ordinal Scoring
- MS-GPT: Rethinking MS/MS De Novo Structure Elucidation as Spectrum-Induced Posterior Querying of a Molecule-Language Model
- ConFusion: Continuous Fusion Space Learning for Fine-Grained Controllable Infrared and Visible Image Fusion
- HiTMS: A High-Throughput Multi-Stream Linguistic Steganography Framework
- Weakly Supervised Instance-Level Gleason Pattern Estimation Using Primary and Secondary Labels
- JarvisHub: An Open Harness for Canvas-Native Multimodal Creative Agents
- Are You Still the Agent I Authorized? Earned Authority under a Fixed Ceiling for Evolving Agents
- Verification-Notebook Learning for Source-Aware Multimodal Misinformation Detection
- SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion
- Neuromorphic Object Detection: An In-Depth Study and Future Directions
- D3O: Dynamic Distribution Distillation for Ordinal Regression
- Random Forest-Based Prediction of Bone Volume Fraction and Fracture Position from S-Parameters
- An Unofficial FastLAS Tutorial: A Programmer's Guide
- GTIN: A Unified Framework for Joint Event and Time Prediction in Temporal Graphs
- Neonatal Hypoxic-ischaemic Encephalopathy Classification from the EEG and HRV Signals Using a Conformer based Masked Autoencoder
- Language Shapes Instruction Hierarchy Compliance in Multilingual LLMs
- GaitFace: A Multimodal Dataset for Long-Range Person Identification
- Guiding Language Models to Be More Empathetic: Culturally Sensitive Mental Health Advice Generation Through Human-LLM Collaboration
- Mission-Level Runtime Assurance for LLM-Assisted ISR Swarms over a Verification-Aware Fabric
- The JEPA Paradox in Language: The Geometry of Linguistic Alternatives
- Geometry Meets Semantics: Fractional Gradient Stabilization for Semantic-Driven Bounding Box Optimization in Visual Detection Tasks
- Delegation Intelligence in Deep Search: A Controllable Framework for Disentangled Capability Diagnosis
- ATCNet-CIAM for Multi-Session Motor Imagery EEG Signal Classification
- Auditing Alignment Controllability in LLMs via Political Axes
- Chamaileon: Cross-Context Binder Design with Contextualized Modeling and Mixed Sampling
- The Cross-Domain Generalization Cost of Offensive Language Detection
- Topological Data Analysis and Graph-Theoretic Approaches for Tennis Match Prediction
- Choosing a Text Embedding Model: A Practical Benchmarking and Decision Framework
- MemVLN: Episodic and Procedural Memory for Vision-and-Language Navigation
- Impute On-Demand: Adaptive Correlated Time Series Imputation for Changing Environments
- Learning switched non-linear dynamical systems from a single trajectory
- Physics-Informed Neural Networks for Discovering Periodic Orbits in the Gravitational Three-Body Problem
- Formalizing Flag Algebras in Lean
- Token-Region Guided Cross-Attention Fusion for Multimodal Affect Interpretation
- PlanCraft: Sketch, Refine, and Furnish for Architect-Inspired Progressive 3D Residential Scene Generation
- An adaptive multi-fuzzy logic model for diagnosing transformer faults using dynamic weight optimization
- Charging Phase Health Indicators for Battery State-of-Health Estimation: A Systematic Comparison of CC, CV, and Combined Approaches under Cross-Battery Validation
- Mwando: Leveraging AI to Preserve and Teach shiKomori
- A Multi-stage Constrained Optimization Framework for Data-driven Problems
- ATLAS: Automated Approximation of Transformers for Efficient Homomorphic Inference in One Hour
- Robust 6-DoF Object Pose Tracking with Built-In Recovery under Occlusions and Rapid Object Motions
- Learning to Optimize: Joint Routing and Flow Allocation on Sparse Non-Euclidean Networks
- Extending Fourier Neural Operators for Modeling Parameterized and Coupled PDEs
- Generalization bounds and sample complexity for remaining useful life prediction from complete degradation trajectories
- Multi-Modal Object Re-Identification with Prompt-S6 and Semantic-Aware Knowledge Guidance
- Local Regularization Does Not Characterize Multiclass PAC Learnability
- Constraint-Bound Agnostic Bayesian Optimization: One Model for All Thresholds
- PerturbPFN: Probing the Limits of Synthetic Priors in Drug Perturbation Modelling
- Do Small Models Use the Law You Give Them? Context-Injected Fine-Tuning for Legal QA in Bangladesh
- Do LLM Debates Repeat Arguments Differently Across Languages?
- A Characterization of the Orthocomplement of the Tangent Space of Semiparametric Markov Models
- Neural Representation of Minimal Surfaces
- Experimentation and Commitment under Reward Shifts
- TLA+-Bench: An Execution-Grounded Benchmark and Dataset for Natural-Language to TLA Specification Generation
- Harmonized Interpretable ECG Waveform Features for Robust Cross-Dataset Clinical Prediction
- NeurGO: Learning to Generate Elite Candidates for Meta-Black-Box Expensive Optimization
- Blood Pressure Estimation from PPG: A Comparative Study of Direct and ECG-Mediated Deep Learning Pipelines
- Transfer Learning Architectures for Scalable Multi-Fidelity Bayesian Optimization
- A Statistical Difference between Single-Layer Learning and Hierarchical Learning in Wide Neural Networks