Papers
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Hawkeye: Reproducing GPU-Level Non-Determinism
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PEARL: Personalized Streaming Video Understanding Model
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Leveraging Natural Language Processing and Machine Learning for Evidence-Based Food Security Policy Decision-Making in Data-Scarce Making
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Benchmarking Efficient & Effective Camera Pose Estimation Strategies for Novel View Synthesis
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Coding Agents are Effective Long-Context Processors
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ALICE: A Multifaceted Evaluation Framework of Large Audio-Language Models' In-Context Learning Ability
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Verifiable Error Bounds for Physics-Informed Neural KKL Observers
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Deep reflective reasoning in interdependence constrained structured data extraction from clinical notes for digital health
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Trained Persistent Memory for Frozen Decoder-Only LLMs
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A Training-Free Regeneration Paradigm: Contrastive Reflection Memory Guided Self-Verification and Self-Improvement
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Detecting Neurovascular Instability from Multimodal Physiological Signals Using Wearable-Compatible Edge AI: A Responsible Computational Framework
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Thermal is Always Wild: Characterizing and Addressing Challenges in Thermal-Only Novel View Synthesis
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Solver-Aided Verification of Policy Compliance in Tool-Augmented LLM Agents
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Policies Permitting LLM Use for Polishing Peer Reviews Are Currently Not Enforceable
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SDE-Driven Spatio-Temporal Hypergraph Neural Networks for Irregular Longitudinal fMRI Connectome Modeling in Alzheimer's Disease
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Reinforcement Learning from Multi-Source Imperfect Preferences: Best-of-Both-Regimes Regret
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Inverting Neural Networks: New Methods to Generate Neural Network Inputs from Prescribed Outputs
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Shift-Invariant Feature Attribution in the Application of Wireless Electrocardiograms
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Diffutron: A Masked Diffusion Language Model for Turkish Language
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Goal-oriented learning of stochastic dynamical systems using error bounds on path-space observables
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DiffGraph: An Automated Agent-driven Model Merging Framework for In-the-Wild Text-to-Image Generation
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From Data to Laws: Neural Discovery of Conservation Laws Without False Positives
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CREG: Compass Relational Evidence for Interpreting Spatial Reasoning in Vision-Language Models
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Fair splits flip the leaderboard: CHANRG reveals limited generalization in RNA secondary-structure prediction
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Profiling learners' affective engagement: Emotion AI, intercultural pragmatics, and language learning
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Spatio-Temporal Grid Intelligence: A Hybrid Graph Neural Network and LSTM Framework for Robust Electricity Theft Detection
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AE-LLM: Adaptive Efficiency Optimization for Large Language Models
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PARHAF, a human-authored corpus of clinical reports for fictitious patients in French
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Conformal Risk Control for Safety-Critical Wildfire Evacuation Mapping: A Comparative Study of Tabular, Spatial, and Graph-Based Models
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Meeting in the Middle: A Co-Design Paradigm for FHE and AI Inference
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Efficient Counterfactual Reasoning in ProbLog via Single World Intervention Programs
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Distributed Gradient Clustering: Convergence and the Effect of Initialization
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Measuring Reasoning Trace Legibility: Can Those Who Understand Teach?
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Lessons and Open Questions from a Unified Study of Camera-Trap Species Recognition Over Time
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Grounded Chess Reasoning in Language Models via Master Distillation
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ReBOL: Retrieval via Bayesian Optimization with Batched LLM Relevance Observations and Query Reformulation
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Evaluating Large Language Models on Historical Health Crisis Knowledge in Resource-Limited Settings: A Hybrid Multi-Metric Study
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End-to-End Optimization of Polarimetric Measurement and Material Classifier
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CogFormer: Learn All Your Models Once
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Delightful Distributed Policy Gradient
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Does This Gradient Spark Joy?
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RMNP: Row-Momentum Normalized Preconditioning for Scalable Matrix-Based Optimization
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Memory Over Maps: 3D Object Localization Without Reconstruction
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Epistemic Observability in Language Models
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Revenue-Sharing as Infrastructure: A Distributed Business Model for Generative AI Platforms
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An Industrial-Scale Retrieval-Augmented Generation Framework for Requirements Engineering: Empirical Evaluation with Automotive Manufacturing Data
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Towards Practical Multimodal Hospital Outbreak Detection
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LLM-Driven Heuristic Synthesis for Industrial Process Control: Lessons from Hot Steel Rolling
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Understanding Behavior Cloning with Action Quantization
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Large Language Models for Missing Data Imputation: Understanding Behavior, Hallucination Effects, and Control Mechanisms
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