Width, Memory, and Delay: A Resource Accounting for the Limits of Flat Multi-Agent Systems
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Noticias de IA
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Hard Constraints, Smooth Gradients: Learning Feasible Inventory Policies via Differentiab…
MechGeo: Autoformalizing and Proving Euclidean Geometry in Lean 4
SKT: Skill-Use Training at Scale via Verified Synthetic Data Generation
Trajectories That Segment Themselves: Agent-Declared Boundaries as a Training Unit
Trustworthy AI in Digital Health: A Comprehensive Review of Robustness and Explainability
Self-Certification of Representation Adequacy: Sequential Certification at Minimum Task L…
Exploring More to Solve More: Boosting Diversity in Text Diffusion Models via Entropy-Bas…
EduZone: A Framework for Evaluating LLM Safety for K-12 Students and Teachers
Cross-Fitted Residual Utility for Primary-Preserving Cognitive Decision Correction in Aut…
Diagnosing Search Behavior and Failure Modes in Long-Horizon Search Agents
Meritocratic Fairness via $K$-Shapley Values in Budgeted Combinatorial Bandits with Full-…
ProWorld: Progress-Aware Hyperbolic World Models for Long-Horizon Visual Goal Reaching
From Profiling to Synthesis: Benchmarking Implicit Behavioral Alignment in Personalized L…
CoEvoKG: Co-Evolving Knowledge Graphs with Self-Evolving Search Agents
When Only the Final Text Survives: Implicit Execution Tracing for Multi-Agent Auditing
EchoChange: A Diffusion Language Model with Dual Pass Remasking for Factual Remote Sensin…
Exploring and Bridging Knowledge Holes in Unlearned Multimodal Large Language Models
Interpretability-Guided Soft Pruning of Attention Heads in Vision Transformers
Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for …
PosterMELD: Multi-Agent Paper-to-Poster Generation for Controllable Design Diversity with…
Wnuan: Staged Post-Training for Question Answering over Proprietary Enterprise Knowledge
Long-Horizon Autonomous Architecture Research with a Language-Model Agent: A Behavioural …
Fairness in Augmented Graph Learning: A Survey
Provably Safe Generative Sampling with Constricting Barrier Functions
Inference-Time Policy Alignment for Fair Reinforcement Learning
SearchMaster: Grounded and Regulated Self-Play for Search Agents
ICU-Bench:Benchmarking Continual Unlearning in Multimodal Large Language Models
Leveraging AI for fine-grained food safety risk forecasting in sparse data conditions
CoNav-UAV: Cooperative Dual-Altitude Aerial Navigation via Stackelberg Learning