974 published Ledger entries.
- arXiv AI recent: (Human) Attention Is (Still) All You Need: Human oversight makes AI-assisted social science reliable
- arXiv AI recent: A Mathematical Forum Platform for Collaborative Problem Solving and Dataset Generation for AI Reasoning
- arXiv AI recent: A Multi-Modal Sensor Fusion Instrument for Measuring Regional Human Mobility: The Distributed Human Data Engine (DHDE)
- arXiv AI recent: A Resilient Solution for Sewer Overflow Monitoring across Cloud and Edge
- arXiv AI recent: A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data
- arXiv AI recent: A Zero-shot Generalized Graph Anomaly Detection Framework via Node Reconstruction
- arXiv AI recent: Accelerating Speculative Diffusions via Block Verification
- arXiv AI recent: Agentic MPC for Semantic Control System Resynthesis
- arXiv AI recent: AgentRivet: an automated system for producing Rivet routines from journal publications
- arXiv AI recent: Agents' Last Exam
- arXiv AI recent: AI4SLT: Empirical Processes in Lean 4 for Formal Statistical Learning Theory
- arXiv AI recent: Algorithmic Constitutionalism
- arXiv AI recent: Apertus LLM Family Expansion via Distillation and Quantization
- arXiv AI recent: Artificial Intelligence in Ship Finance: Applications, Opportunities, and a Case Study in AI-Augmented Loan Origination
- arXiv AI recent: ATLAS: Active Theory Learning for Automated Science
- arXiv AI recent: Attention by Synchronization in Coupled Oscillator Networks
- arXiv AI recent: Blind Dexterous Grasping via Real2Sim2Real Tactile Policy Learning
- arXiv AI recent: Can Factual Opinions Be Edited (Manipulated) in Large Language Models?
- arXiv AI recent: Causal Inference with Generative Artificial Intelligence: Application to Texts as Treatments
- arXiv AI recent: CCKS: Consensus-based Communication and Knowledge Sharing
- arXiv AI recent: Certifiable Safe RLHF: Semantic Grounding and Fixed Penalty Constraint Optimization for Safer LLM Alignment
- arXiv AI recent: CloudCons: A Comprehensive End-to-End Benchmark for Cloud Resource Consolidation
- arXiv AI recent: Cluster Aggregated GAN (CAG): A Cluster-Based Hybrid Model for Appliance Pattern Generation
- arXiv AI recent: Competition and Diversity in Generative AI
- arXiv AI recent: Compiler-First State Space Duality and Portable $O(1)$ Autoregressive Caching for Inference
- arXiv AI recent: Context-Driven Incremental Compression for Multi-Turn Dialogue Generation
- arXiv AI recent: Contrastive Geometric Learning Unlocks Unified Structure- and Ligand-Based Drug Design
- arXiv AI recent: Cross-Modal Masked Compositional Concept Modeling for Enhancing Visio-Linguistic Compositionality
- arXiv AI recent: DailyReport: An Open-ended Benchmark for Evaluating Search Agents on Daily Search Tasks
- arXiv AI recent: DAM-VLA: Decoupled Asynchronous Multimodal Vision Language Action model
- arXiv AI recent: DCD: Domain-Oriented Design for Controlled Retrieval-Augmented Generation
- arXiv AI recent: Density estimation for Hellinger via minimum-distance estimators: mixtures of Gaussians, log-concave, and more
- arXiv AI recent: Density Ridge Selective Prediction for LLM and VLM Hallucination Detection under Calibration Label Scarcity
- arXiv AI recent: Deterministic Integrity Gates for LLM-Assisted Clinical Manuscript Preparation: An Auditable Biomedical Informatics Architecture
- arXiv AI recent: Deterministic Policy Gradient for Learning Equilibrium in Time-Inconsistent Control Problems
- arXiv AI recent: Different Layers, Different Manifolds: Module-Wise Weight-Space Geometry in Transformer Optimization
- arXiv AI recent: DIMOS: Disentangling Instance-level Moving Object Segmentation
- arXiv AI recent: Divination by Prompt: LLM-Mediated Xuanxue on Chinese Social Media
- arXiv AI recent: DSAEval: Evaluating Data Science Agents on a Wide Range of Real-World Data Science Problems
- arXiv AI recent: Efficient Multinomial Logistic Bandit via Frequent Directions
- arXiv AI recent: Embodied-R1.5: Evolving Physical Intelligence via Embodied Foundation Models
- arXiv AI recent: Energy-Efficient On-Device RAG on a Mobile NPU: System Design and Benchmark on Snapdragon X Elite
- arXiv AI recent: Evaluating and Combating the Impact of Concept Drift on the Performance of Machine Learning-Based Phishing Detection Systems
- arXiv AI recent: Federated continual learning: A comprehensive survey on lifelong and privacy-preserving learning over distributed and non-stationary data
- arXiv AI recent: FENCE: A Financial and Multimodal Jailbreak Detection Dataset
- arXiv AI recent: Few-Shot Resampling for Scalable Statistically-Sound Data Mining
- arXiv AI recent: Fine-tuning Multi-modal LLMs with ART: Art-based Reinforcement Training
- arXiv AI recent: Flow Matching with In-Context Priors for Out-of-Distribution Brain Dynamics
- arXiv AI recent: Fourier Multi-Component and Multi-Layer Neural Networks: Unlocking High-Frequency Potential
- arXiv AI recent: From Architecture to Output: Structural Origins of Hallucination in Large Language Models and the Amplifying Role of Data
- arXiv AI recent: From Passive Generation to Investigation: A Proactive Scientific Peer Review Agent
- arXiv AI recent: Functional Cache Grafting: Robust and Rapid Code-Policy Synthesis for Embodied Agents
- arXiv AI recent: Geometric Erasure by Contrastive Velocity Matching in Rectified Flows
- arXiv AI recent: Geometry of Reason: Spectral Signatures of Valid Mathematical Reasoning
- arXiv AI recent: Grammar of the Wave: Towards Explainable Multivariate Time Series Event Detection via Neuro-Symbolic VLM Agents
- arXiv AI recent: GraphInfer-Bench: Benchmarking LLM's Inference Capability on Graphs
- arXiv AI recent: Holding the FP8 Quality Ceiling at 8-Bit Weights and Activations: INT8 and GGUF Post-Training Quantization of Ideogram 4.0 for Consumer GPUs
- arXiv AI recent: HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers
- arXiv AI recent: IAPO: Input Attribution-Aware Policy Optimization for Tool Use in Small Multimodal Agents
- arXiv AI recent: Impact of Connectivity on Laplacian Representations in Reinforcement Learning
- arXiv AI recent: InnoEval: On Research Idea Evaluation as a Knowledge-Grounded, Multi-Perspective Reasoning Problem
- arXiv AI recent: Interaction-Centered Intelligence: Toward an Interaction-Based Theory of Human-AI Co-Creation
- arXiv AI recent: Knowledge Manifold: A Riemannian Geometric Framework for Semantic Mapping and Geodesic Analysis of Scientific Literature
- arXiv AI recent: Language Model Circuits Are Sparse in the Neuron Basis
- arXiv AI recent: Learning with Simulators: No Regret in a Computationally Bounded World
- arXiv AI recent: LingxiDiagBench: A Multi-Agent Framework for Benchmarking LLMs in Chinese Psychiatric Consultation and Diagnosis
- arXiv AI recent: Loss Landscape Diagnosis for Gradient-Based Gray-Scott System Inversion: Disentangling the Roles of PINN Components
- arXiv AI recent: Low-Latency Real-Time Audio Game Commentary System via LLM-Based Parallel Text Generation
- arXiv AI recent: Market Design for AI: Beyond the Copyright Binary
- arXiv AI recent: Mirror Descent on Riemannian Manifolds
- arXiv AI recent: More Context, Larger Models, or Moral Knowledge? A Systematic Study of Schwartz Value Detection in Political Texts
- arXiv AI recent: MPK: A Compiler and Runtime for Mega-Kernelizing Tensor Programs
- arXiv AI recent: Multi-Bitwidth Quantization for LLMs Using Additive Codebooks
- arXiv AI recent: Multi-Modal Agents for Power Distribution Defect Detection: An Evaluation of Foundation Models
- arXiv AI recent: My Chemical Harness: Evolutionary Molecular Design over Synthetic Pathways with Large Language Model Agents
- arXiv AI recent: No Hidden Prompts Needed! You Can Game AI Peer Review with Presentation-Only Revisions
- arXiv AI recent: NTS-CoT: Mitigating Hallucinations in LLM-based News Timeline Summarization with Chain-of-Thought Reasoning
- arXiv AI recent: Ontology Memory-Augmented ASR Correction for Long Text-Speech Interleaved Conversations
- arXiv AI recent: Optimal Spatio-Temporal Decoupling for Bayesian Conformal Prediction
- arXiv AI recent: Optimizing Appliance Scheduling for Solar Energy Management Using Metaheuristic Algorithms
- arXiv AI recent: Organize then Retrieve: Hierarchical Memory Navigation for Efficient Agents
- arXiv AI recent: Physics-informed generative AI for semiconductor manufacturing: Enforcing hard physical constraints in generative models by construction
- arXiv AI recent: Physics-Informed Neural Networks for Chemotherapy Pharmacokinetics: Benchmarking the Clinical Estimator and Exposing Parameter Identifiability
- arXiv AI recent: Prediction-Powered Causal Inference by Automatic Debiased Machine Learning and Semi-Supervised Riesz Regression
- arXiv AI recent: PRISM: Prosody-Integrated Multi-Agent Reasoning Framework for Empathetic Spoken Dialogue
- arXiv AI recent: Proprioceptive-visual correspondence enables self-other distinction in humanoid robots
- arXiv AI recent: Quasi-Bayes empirical Bayes: a sequential approach to the Poisson compound decision problem
- arXiv AI recent: RAGPPI: RAG Benchmark for Protein-Protein Interactions in Drug Discovery
- arXiv AI recent: Range-Aware Bayesian Optimization for Discovering Diverse Designs within Target Property Windows
- arXiv AI recent: Rapid mixing for Gibbs measures in Riemannian manifolds
- arXiv AI recent: Rarity-Gated Context Conditioning for Offline Imitation Learning-Based Maritime Anomaly Detection
- arXiv AI recent: Reconstructing Template-Memorized Images from Natural Prompts
- arXiv AI recent: Recursive Binding on a Budget: Subspace Carving in Order-p Tensor Memories
- arXiv AI recent: Reinforcement Learning with Action-Triggered Observations
- arXiv AI recent: Representing Time Series as Structured Programs for LLM Reasoning
- arXiv AI recent: Restless bandits with imperfect binary feedback: PCL-indexability analysis and computation
- arXiv AI recent: Robust Privacy: Inference-Stage Privacy through Certified Robustness
- arXiv AI recent: S-GBT: Smooth Growth Bound Tensor for Certified Robustness Against Word Substitution Attacks in NLP
- arXiv AI recent: SAIGuard: Communication-State Simulation for Proactive Defense of LLM Multi-Agent Systems
- arXiv AI recent: Sample-Efficient Hypergradient Estimation for Decentralized Bi-Level Reinforcement Learning
- arXiv AI recent: SDQM: Synthetic Data Quality Metric for Object Detection Dataset Evaluation
- arXiv AI recent: sebis at CRF Filling 2026: A Two-Stage Local LLM Pipeline for Medical CRF Filling
- arXiv AI recent: Seeing Below the Limit of Detection: A Censored-Poisson Bayesian Latent-Growth Change-Point Detector (the Span Detector) for Serial ctDNA in HR+/HER2- Metastatic Breast Cancer
- arXiv AI recent: Select and Improve: Understanding the Mechanics of Post-Training for Reasoning
- arXiv AI recent: Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning
- arXiv AI recent: Small LLMs for Biomedical Claim Verification: Cost-Effective Fine-Tuning, Structural Dataset Shortcuts, and Cross-Domain Generalization
- arXiv AI recent: Space-sampled Value Decay: Forgetting Mechanisms for Non-stationary Deep Reinforcement Learning
- arXiv AI recent: Sparse probes and murky physics: a case study of interpretability challenges in a foundation model for continuum dynamics
- arXiv AI recent: Tabular Foundation Models for Clinical Survival Analysis via Survival-Aware Adaptation
- arXiv AI recent: Teaching Diffusion to Speculate Left-to-Right
- arXiv AI recent: The Internet of Agentic AI: Communication, Coordination, and Collective Intelligence at Scale
- arXiv AI recent: The Theory of Mind Utility: Formal Specification of a Mentalizing Mechanism
- arXiv AI recent: Time-Series Foundation Model Embeddings for Remaining Useful Life Estimation
- arXiv AI recent: TrajGenAgent: A Hierarchical LLM Agent for Human Mobility Trajectory Generation
- arXiv AI recent: Two Wrongs, No Right: Auditing Social-Desirability Bias in LLM Annotators for Computational Social Science
- arXiv AI recent: Two-Layer Linear Auto-Regressive Models Estimate Latent States
- arXiv AI recent: Understanding helpfulness and harmless tension in reward models
- arXiv AI recent: Valid Inference with Synthetic Data via Task Exchangeability
- arXiv AI recent: Variational Learning for Insertion-based Generation
- arXiv AI recent: Visual-Redundancy-Controlled Parallel Decoding for Diffusion-Based Multimodal Large Language Models
- arXiv AI recent: Visualizing LLM Latent Space Geometry Through Dimensionality Reduction
- OpenAI News: How Preply combines AI and human tutors to personalize learning
- OpenAI News: New OpenAI Academy courses for the next era of work
- TechCrunch AI: Cheaper, faster, and culturally aware, Avataar’s video AI is built for India’s scale
- TechCrunch AI: Jeff Bezos’s Prometheus raises $12B to build an ‘artificial general engineer’ for the physical world
- TechCrunch AI: Mistral is rumored to be raising €3B at €20B valuation
- Allen Institute for AI: olmo-eval: An evaluation workbench for the model development loop
- Ars Technica AI: $130 billion in data center projects blocked by protests so far this year
- Ars Technica AI: Cameras, sensors, and 3D body scans: All the tech helping eliminate blown calls
- Ars Technica AI: Controversial FISA spying law expires tonight. The spying will continue.
- Ars Technica AI: Ebola cases in DRC rise to 676 as Kenya protests erupt over US plans
- Ars Technica AI: Google sues Chinese cybercrime network that used Gemini to automate scams
- Ars Technica AI: Have politics finally come for the National Academies of Science?
- Ars Technica AI: Here's what Jeff Bezos' new startup Prometheus will do
- Ars Technica AI: Lawsuit: ChatGPT validated suicidal woman's distrust of crisis lines
- Ars Technica AI: PeopleSoft 0-day affecting hundreds of organizations steals gigabytes of data
- Ars Technica AI: Pokémon Go players unwittingly contributed to tech with military drone uses
- Ars Technica AI: RFK Jr. melts down over NYT report, admits he blacklists reporters
- Ars Technica AI: Rocket Report: Nova moving through test campaign; SpaceX IPO launches Friday
- Ars Technica AI: The biggest race in the world? The 24 Hours of Le Mans is this weekend.
- Ars Technica AI: Ukraine's one-time test used fully autonomous drones to kill Russian soldiers
- Ars Technica AI: Verizon sent man a refurbished phone with MDM, then deleted his data remotely
- Ars Technica AI: When it comes to total water use, AI data centers are a drop in the bucket
- arXiv AI recent: "Did you lie?" Evaluating Lie Detectors across Model Scale and Belief-Verified Model Organisms
- arXiv AI recent: "Is This Not Enough?": Asymmetries in Institutional Accountability and Collective Sensemaking in the Case of Canada's Algorithmic Visa Triage System
- arXiv AI recent: \texttt{Range-Arithmetic}: Verifiable Deep Learning Inference on an Untrusted Party
- arXiv AI recent: A Context-Aware Dataset for Stance Detection in Bioethical Controversies on Reddit
- arXiv AI recent: A Controlled Study of Decoding-Time Truthfulness Methods on Instruction-Tuned LLMs
- arXiv AI recent: A Data-Centric Framework for Detecting and Correcting Corrupted Labels
- arXiv AI recent: A Judge-Aware Ranking Framework for Evaluating Large Language Models without Ground Truth
- arXiv AI recent: A Lightweight Multi-Agent Framework for Automated Concrete Barrier Design
- arXiv AI recent: A Machine Learning Framework for Real-Time Personalized Ergonomic Pose Analysis
- arXiv AI recent: A Mathematical Theory of Value: a synthesis on goal-directed agency under resource constraints
- arXiv AI recent: A Minimal Model of Bounded Trade-Off Screening in Multi-Attribute Choice
- arXiv AI recent: A Physics-Inspired Optimizer: Velocity Regularized Adam
- arXiv AI recent: A prior-free blind detection of information leakage from model predictions
- arXiv AI recent: A Quadratic Order Reduction -- Gaussian Process Ordinary Differential Equation framework for the inference of Large Continuous Dynamical Systems
- arXiv AI recent: A Quantitative Experimental Repeated Measures Study of Training Dynamics in a Small Llama Style Language Model Under a Compute-Aware Token Budget
- arXiv AI recent: A Riemannian Approach to Low-Rank Optimal Transport
- arXiv AI recent: A Scalable PyTorch Abstraction for Multi-GPU Gaussian Splatting
- arXiv AI recent: A Study of Belief Revision Postulates in Multi-Agent Systems (Extended Version)
- arXiv AI recent: A Survey on Long-Term Memory Security in LLM Agents: Attacks, Defenses, and Governance Across the Memory Lifecycle
- arXiv AI recent: A theory of learning data statistics in diffusion models, from easy to hard
- arXiv AI recent: A Theory of Training Profit-Optimal LLMs
- arXiv AI recent: A Three-Layer Framework for AI in Scientific Discovery
- arXiv AI recent: A Tutorial on World Models and Physical AI
- arXiv AI recent: A Two-Parameter Weibull Framework for Diagnosing Transformer Weight Distributions
- arXiv AI recent: A unified complexity bound for logconcave sampling
- arXiv AI recent: A Unified Latent Space Disentanglement VAE Framework with Robust Disentanglement Effectiveness Evaluation
- arXiv AI recent: A Unifying Lens on Reward Uncertainty in RLHF
- arXiv AI recent: A2SG:Adaptive and Asymmetric Surrogate Gradients for Training Deep Spiking Neural Networks
- arXiv AI recent: AAbAAC: An Annotated Corpus for Autoimmunity Information Extraction
- arXiv AI recent: Accurate and Resource-Efficient Federated Continual Learning
- arXiv AI recent: Acquisition state behaves as a structured, measurable variable governing lung-nodule AI: kernel-driven measurement instability and noise-driven detection fragility, invisible to DI
- arXiv AI recent: Adaptive generative moment matching networks for improved learning of dependence structures
- arXiv AI recent: Adaptive Turn-Taking for Real-time Multi-Party Voice Agents
- arXiv AI recent: Adjoint Method versus Physics-Informed Neural Networks in PDE-Constrained Inverse Problems
- arXiv AI recent: Adv-TGD: Adversarial Text-Guided Diffusion for Face Recognition Impersonation Attacks
- arXiv AI recent: AfriSUD: A Dependency Treebank Collection for Evaluating Models on African Languages
- arXiv AI recent: AfroScope: A Framework for Studying the Linguistic Landscape of Africa
- arXiv AI recent: Agent-based models for the evolution of morphological alternation patterns
- arXiv AI recent: AgentBeats: Agentifying Agent Assessment for Openness, Standardization, and Reproducibility
- arXiv AI recent: Agentic Large Language Models for Automated Structural Analysis of 3D Frame Systems
- arXiv AI recent: Agents-K1: Towards Agent-native Knowledge Orchestration
- arXiv AI recent: AI SciBrief as a Gateway to Research: A Framework for Onboarding Students into New Research Areas
- arXiv AI recent: AI-Automation Tooling in Computer Engineering Education: Mixed-Methods TAM/UTAUT Evidence for a General Acceptance Attitude
- arXiv AI recent: ALIGNBEAM : Inference-Time Alignment Transfer via Cross-Vocabulary Logit Mixing
- arXiv AI recent: Allocating Human Oversight in AI-Enabled Analytics
- arXiv AI recent: An Embodied Simulation Platform, Benchmark, and Data-Efficient Augmentation Framework for Wet-Lab Robotics
- arXiv AI recent: An End-to-End Hybrid Framework for Rumour Detection in Low-Resources Algerian Dialect
- arXiv AI recent: An Explainable AI Assistant for Introductory Programming Education: Improving Feedback Reliability with Instructor-AI Collaboration
- arXiv AI recent: An Improved Generative Adversarial Network for Micro-Resistivity Imaging Logging Restoration
- arXiv AI recent: An LLM System for Autonomous Variational Quantum Circuit Design
- arXiv AI recent: Analytic Bijections for Smooth and Interpretable Normalizing Flows
- arXiv AI recent: Analyzing and Improving Fine-grained Preference Optimization in Medical LVLMs
- arXiv AI recent: Anatomy of Post-Training: Using Interpretability to Characterize Data and Shape the Learning Signal
- arXiv AI recent: Annealed Entropic Allocation for Ranking and Selection
- arXiv AI recent: Anomalies in Multivariate Time Series Benchmarks Are Mostly Univariate
- arXiv AI recent: APCyc: Property-Informed Design of Cyclic Peptides via Automated Cyclization
- arXiv AI recent: APEX: A Network-Native Time-Series Foundation Model for Forecasting and Anomaly Detection for Wireless Edge Operations
- arXiv AI recent: APEX: Automated Prompt Engineering eXpert with Dynamic Data Selection
- arXiv AI recent: APPO: Agentic Procedural Policy Optimization
- arXiv AI recent: Arbor: Tree Search as a Cognition Layer for Autonomous Agents
- arXiv AI recent: ARMOR-MAD: Adaptive Routing for Heterogeneous Multi-Agent Debate in Large Language Model Reasoning
- arXiv AI recent: ArogyaSutra: A Multi-Agent Framework for Multimodal Medical Reasoning in Indic Languages
- arXiv AI recent: ARROW: Augmented Replay for RObust World models
- arXiv AI recent: AsFT: Anchoring Safety During LLM Fine-Tuning Within Narrow Safety Basin
- arXiv AI recent: ASTER: Latent Pseudo-Anomaly Generation for Unsupervised Time-Series Anomaly Detection
- arXiv AI recent: Atlas H&E-TME: Scalable AI-Based Tissue Profiling at Expert Pathologist-Level Accuracy
- arXiv AI recent: Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings
- arXiv AI recent: Augmentation techniques for video surveillance in the visible and thermal spectral range
- arXiv AI recent: Authorship Attribution in Multilingual Machine-Generated Texts
- arXiv AI recent: Automated reproducibility assessments in the social and behavioral sciences using large language models
- arXiv AI recent: Bag of Dims: Training-Free Mechanistic Interpretability via Dimension-Level Sign Patterns
- arXiv AI recent: BASENet: Band-Adapted Speech Enhancement Network with Cross-Band Attention
- arXiv AI recent: Before You Think: System 0, AI-Mediated Cognition and Cognitive Colonization
- arXiv AI recent: Benchmarking AI Agents for Addressing Scientific Challenges Across Scales
- arXiv AI recent: Benchmarking Counterfactual Prediction in Epidemic Time Series with Time-Varying Interventions
- arXiv AI recent: Bergson: An Open Source Library for Data Attribution
- arXiv AI recent: Bernstein-Schur Kernels: Random Features by Sketched Modulation and Radial Randomization
- arXiv AI recent: Beyond Continuity: Simulation-free Reconstruction of Discrete Branching Dynamics from Single-cell Snapshots
- arXiv AI recent: Beyond Dark Knowledge: Mixup-Based Distillation for Reliable Predictions
- arXiv AI recent: Beyond Problem Solving: UOJ-Bench for Evaluating Code Generation, Hacking, and Repair in Competitive Programming
- arXiv AI recent: Beyond representational alignment with brain-guided language models for robust reasoning
- arXiv AI recent: Beyond Runtime Enforcement: Shield Synthesis as Defensibility Analysis for Adversarial Networks
- arXiv AI recent: Beyond the Commitment Boundary: Probing Epiphenomenal Chain-of-Thought in Large Reasoning Models
- arXiv AI recent: Beyond the Golden Teacher: Enhancing Graph Learning through LLM-GNN Co-teaching
- arXiv AI recent: Beyond Uniform Token-Level Trust Region in LLM Reinforcement Learning
- arXiv AI recent: Beyond Uniform Tokens: Adaptive Compression for Time Series Language Models
- arXiv AI recent: BLUEmed: Retrieval-Augmented Multi-Agent Debate for Clinical Error Detection
- arXiv AI recent: Boosting Direct Preference Optimization with Penalization
- arXiv AI recent: Bootstrapped Monitoring: Leveraging Transparent Reasoning to Oversee Stronger AI Agents
- arXiv AI recent: Bounding Boxes as Goals: Language-Conditioned Grasping via Neuro-Symbolic Planning
- arXiv AI recent: BOUTEF: A Multilingual Corpus for FakeNews in North Africa -- Language as a Weapon
- arXiv AI recent: BrainDINO: A Brain MRI Foundation Model for Generalizable Clinical Representation Learning
- arXiv AI recent: Breaking Entropy Bounds: Accelerating RL Training via MTP with Rejection Sampling
- arXiv AI recent: Breaking the Ice: Analyzing Cold Start Latency in vLLM
- arXiv AI recent: Brick: Spatial Capability Routing for the Mixture-of-Models (MoM) Paradigm
- arXiv AI recent: Bridging Modal Isolation in Interleaved Thinking: Supervising Modality Transitions via Stepwise Reinforcement
- arXiv AI recent: Bulk-Calibrated Credal Ambiguity Sets: Fast, Tractable Decision Making under Out-of-Sample Contamination
- arXiv AI recent: Bypassing Prompt Guards in Production with Controlled-Release Prompting
- arXiv AI recent: C-QUERI: Congressional Questions, Exchanges, and Responses in Institutions Dataset
- arXiv AI recent: Calibrating Decision Robustness via Inverse Conformal Risk Control
- arXiv AI recent: Calibrating simplified vine copulas with a noise contrastive estimation approach
- arXiv AI recent: Calibration Drift Under Reasoning: How Chain-of-Thought Budgets Induce Overconfidence in Large Language Models
- arXiv AI recent: Can I Buy Your KV Cache?
- arXiv AI recent: Capacity-Constrained Online Convex Optimization with Delayed Feedback
- arXiv AI recent: CAPED: Context-Aware Privacy Exposure Defense for Mobile GUI Agents
- arXiv AI recent: CaReTS: A Multi-Task Framework Unifying Classification and Regression for Time Series Forecasting
- arXiv AI recent: Cascade Classification of Dermoscopic Images of Skin Neoplasms with Controllable Sensitivity and External Clinical Validation
- arXiv AI recent: Categorical Prior Lock-in: Why In-Context Learning Fails for Structured Data
- arXiv AI recent: Categorical Robustness Assessment for Machine Learning based Network Intrusion Detection Systems
- arXiv AI recent: CausalMoE: A Billion-Scale Multimodal Foundation Model for Granger Causal Discovery with Pattern-Routed Heterogeneous Experts
- arXiv AI recent: Central Limit Theorems for Stochastic Gradient Descent Quantile Estimators
- arXiv AI recent: Characterizing the Impact of NVFP4 Quantization for Low-Power Edge AI Deployment
- arXiv AI recent: ChiKhaPo: A Large-Scale Multilingual Benchmark for Evaluating Lexical Comprehension and Generation in Large Language Models
- arXiv AI recent: Claw-SWE-Bench: A Benchmark for Evaluating OpenClaw-style Agent Harnesses on Coding Tasks
- arXiv AI recent: CMI-RewardBench: Evaluating Music Reward Models with Compositional Multimodal Instruction
- arXiv AI recent: ComAct: Reframing Professional Software Manipulation via COM-as-Action Paradigm
- arXiv AI recent: Compatibility-Aware Dynamic Fine-Tuning for Large Language Models
- arXiv AI recent: Composing Linear Layers from Irreducibles
- arXiv AI recent: Computationally tractable robust differentially private mean estimation
- arXiv AI recent: Conformal Bayes under Label Shift: Post-Hoc Calibration vs. In-Training Adaptation
- arXiv AI recent: Conformal Risk-Averse Decision Making with Action Conditional Guarantee
- arXiv AI recent: Constrained Semantic Decompression in LLMs through Persian Proverb-Conditioned Story Generation
- arXiv AI recent: Constructing Evaluation Datasets for Procedural Reasoning: Balancing Naturalness, Grounding, and Multi-Hop Coverage
- arXiv AI recent: Contextual Invertible World Models: A Neuro-Symbolic Agentic Framework for Colorectal Cancer Drug Response
- arXiv AI recent: Continual Learning with Support Boundary Experience Blending
- arXiv AI recent: Contrast-Informed Augmentation and Domain-Adversarial Training for Adult-to-Neonatal MR Reconstruction Generalization
- arXiv AI recent: Corpus Augmentation for Sign Language Translation via LLM-Guided Video Stitching
- arXiv AI recent: Counterexample Guided Learning in the Large using Reasoning Agents
- arXiv AI recent: Counterfactual Credit Policy Optimization for Multi-Agent Collaboration
- arXiv AI recent: Counterfactual Explanations for Deep Two-Sample Testing
- arXiv AI recent: CoVar: Confidence-Variance-Guided Pseudo-Label Selection for Semi-Supervised Learning
- arXiv AI recent: Coverage Guarantees for Pseudo-Calibrated Conformal Prediction under Distribution Shift
- arXiv AI recent: CP4SBI: Local Conformal Calibration of Credible Sets in Simulation-Based Inference
- arXiv AI recent: CRAFTIIF: Cross-Resolution Analytic Four-Type Interpretable Isolation Forest for Multivariate Time Series Anomaly Detection
- arXiv AI recent: Creating and Evaluating K-12 GenAI Assessment Graders Through Context Engineering
- arXiv AI recent: CreativeBench: Benchmarking and Enhancing Machine Creativity via Self-Evolving Challenges
- arXiv AI recent: CredibleDFGO: Differentiable Factor Graph Optimization with Credibility Supervision
- arXiv AI recent: Critic Architecture Matters: Dual vs. Unified Critics for Humanoid Loco-Manipulation
- arXiv AI recent: Cross-Layer Discrete Concept Discovery for Interpreting Language Models
- arXiv AI recent: Cross-Model Disagreement as a Label-Free Correctness Signal
- arXiv AI recent: CRUMB: Efficient Prior Fitted Network Inference via Distributionally Matched Context Batching
- arXiv AI recent: CuMA: Aligning LLMs with Sparse Cultural Values via Demographic-Aware Mixture of Adapters
- arXiv AI recent: Data Fusion for High-Resolution Estimation
- arXiv AI recent: Data-Driven Dynamic Assortment in Online Platforms: Learning about Two Sides
- arXiv AI recent: Decentralized Autoregressive Generation
- arXiv AI recent: Decoding Insect Song: A Multitask Semisupervised Orthoptera Bioacoustic Classifier
- arXiv AI recent: Decoding the Multimodal Maze: A Systematic Review on the Adoption of Explainability in Multimodal Attention-based Models
- arXiv AI recent: DecompSR: A dataset for decomposed analyses of compositional multihop spatial reasoning
- arXiv AI recent: Deep Learning of Solver-Aware Turbulence Closures from Nudged LES Dynamics
- arXiv AI recent: DeepRHP: A Hybrid Variational Autoencoder for Designing Random Heteropolymers as Protein Mimics
- arXiv AI recent: DEFINED: A Data-Efficient Computational Framework for Fine-Grained Creativity Assessment in Debate Scenarios
- arXiv AI recent: Definitional alignment before capability alignment: a Design-Science framework for adjudicating claims about AGI
- arXiv AI recent: DeMix: Debugging Training Data with Mixed Data Error Types by Investigating Influence Vectors
- arXiv AI recent: Democracy in the Era of Artificial Intelligence
- arXiv AI recent: Demystifying Hidden-State Recurrence: Switchable Latent Reasoning with On-Policy Reinforcement Learning
- arXiv AI recent: Deployment-Centered Evaluation: Predicting Query-Level Rejection Risk in a Clinical LLM System
- arXiv AI recent: Detect, Remask, Repair: Diffusion Editing for Faithful Summarization of Evolving Contexts
- arXiv AI recent: Detecting Functional Memorization in Code Language Models
- arXiv AI recent: Diagnosing the conditional-mean barrier in scientific machine-learning surrogates
- arXiv AI recent: Diffusion Transformer World-Action Model for AV Scene Prediction
- arXiv AI recent: Diffusion-Network Alignment: An Efficient Algorithm and Explicit Probability Bounds
- arXiv AI recent: Direct Preference Optimization for Chatbot Fine-Tuning: An Empirical Study
- arXiv AI recent: Discovery and inference beyond linearity for epidemiological data by integrating Bayesian regression, tree ensembles and Shapley values
- arXiv AI recent: Does AI Reviewer See the Full Picture? Attacking and Defending Multimodal Peer Review
- arXiv AI recent: DroneShield-AI: A Multi-Modal Sensor Fusion Framework for Real-Time Autonomous Drone Threat Detection, Behavioral Intent Classification, and Swarm Intelligence in Contested Airspac
- arXiv AI recent: Dual-Domain Equivariant Generative Adversarial Network for Multimodal CT-PET Synthesis
- arXiv AI recent: Dual-Stance Evaluation of Sycophancy: The Structure of Agreement and the Limits of Intervention
- arXiv AI recent: EA-WM: Event-Aware World Models with Task-Specification Grounding for Long-Horizon Manipulation
- arXiv AI recent: Echo2ECG: Enhancing ECG Representations with Cardiac Morphology from Multi-View Echos
- arXiv AI recent: EDEN: A Large-Scale Corpus of Clinical Notes for Italian
- arXiv AI recent: Edit the Bits, Diff the Codes: Bitwise Residual Editing for Visual Autoregressive Models
- arXiv AI recent: Efficient Solvers for SLOPE in R, Python, Julia, and C++
- arXiv AI recent: Efficient Stochastic Optimisation via Sequential Monte Carlo
- arXiv AI recent: Efficient Time Series Clustering from Multiscale Reservoir Dynamics with Granular-Ball Anchoring Graph Optimization
- arXiv AI recent: Efficient, Robust, and Anti-Collusion Fingerprinting of Image Diffusion Models
- arXiv AI recent: Eigenism: Ethics for a Human-AI Future
- arXiv AI recent: Emergence of Hierarchical Emotion Organization in Large Language Models
- arXiv AI recent: Emerging Flexible Designs for Geospatial Multimodal Foundation Models
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