MoP-JEPA: Hard-Assigned Predictor Mixtures for Stochastic JEPA World Models
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Reason, Reward, Refine: Step-Level Errors Corrections with Structured Feedback for Physic…
CP-WSP: A Declarative CP-SAT Framework for Configurable Multi-Constraint Workforce Schedu…
AgentGym2: Benchmarking Large Language Model Agents in De-Idealized Real-World Environmen…
DSpark: Confidence-Scheduled Speculative Decoding with Semi-Autoregressive Generation
ASSEMCAD: Production-Ready CAD Assembly Generation from Natural Language
Toward Trustworthy Large Language Model Agents in Healthcare
Quantum-Inspired Harmonic Decision Models: A Computational Framework for Music Generation
STAPO: Selective Trajectory-Aware Policy Optimization for LLM Agent Training
Medi-Gemma: A Hybrid Clinical Decision Support System Integrating Deterministic EMR Analy…
AgenticPD: A Stage-Aware Agentic Framework for Physical Design QoR Optimization
FORGE: Research-Trajectory Hijacking Attacks on Deep Research Agents
Formal Disco: Scalable Open-Ended Generation of Formally Verified Programs
VLA Grounder: Language-Conditioning Space Optimization for Black-Box VLA Models
Governed Individuation: Cryptographically Decoupling an Agent's Learning from Its Authori…
Attention Limited Reward Learning
Detecting Answer-Driven Reasoning in LLM-Based Educational Tutors via Truncated Chain-of-…
Heaviside Continuity of Rolling Coefficients for Eliminating Epistemic Entropy in Large L…
Why Pure Reasoning is Not Enough: Nature as the Source of Mathematical Innovation
ResearchStudio-Idea: An Evidence-Grounded Research-Ideation Skill Suite from ML Conferenc…
Agent Step Value: State-Transition Measurement with State-Grounded LLM Evaluators
LLM-as-a-Tutor: Policy-Aware Prompt Adaptation for Non-Verifiable RL
Rethinking On-Policy Self-Distillation for Thinking Models
Decentralized Aggregation of LLM Predictions via Wagering Mechanisms
Server-side Anti-cheat in FPS games for Aimbot detection using Deep learning and Machine …
Agentic SABRE: An Uncertainty-Aware Neuro-Symbolic Multi-Agent Framework for Adaptive Ran…
Shortcut Learning in Legal Judgment Prediction: Empirical Evidence from the UK Employment…
Progress- and Reliability-Oriented Group Policy Optimization for Agentic Reinforcement Le…
Biological Motifs for Agentic Control
A Transformer-Based Contrastive Learning Approach for Few-Shot Sign Language Recognition