arXiv Artificial IntelligenceMindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
arXiv:2606.01063v3 Announce Type: replace Abstract: Theory-of-Mind (ToM) reasoning enables embodied agents to…
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arXiv Artificial IntelligencearXiv Artificial IntelligenceLatent Reward Steering: An Adaptive Inference-Time Framework that Implicitly Promotes Cognitive Behaviors in Reasoning LLMs
arXiv:2606.00726v3 Announce Type: replace Abstract: Strong reasoning depends not only on model knowledge but…
arXiv Artificial IntelligenceMOSAIC: Modular Orchestration for Structured Agentic Intelligence and Composition
arXiv:2606.00708v2 Announce Type: replace Abstract: Automated data science is a structured model-selection…
arXiv Artificial IntelligenceDesigning Benchmarks for Knowledge Work
arXiv:2605.23262v2 Announce Type: replace Abstract: AI agents are moving quickly from answering isolated…
arXiv Artificial IntelligenceTO-Agents: A Multi-Agent AI Framework for Subjective Preference-Guided Topology Optimization
arXiv:2605.21622v2 Announce Type: replace Abstract: Topology optimization can generate efficient structures…
arXiv Artificial IntelligenceGIM: Evaluating models via tasks that integrate multiple cognitive domains
arXiv:2605.18663v2 Announce Type: replace Abstract: As LLM benchmarks saturate, the evaluation community has…
arXiv Artificial IntelligenceReconciling Consistency-Based Diagnosis with Actual-Causality-Based Explanations
arXiv:2605.08688v2 Announce Type: replace Abstract: We establish, from the point of view of Explainable AI…
arXiv Artificial IntelligenceFinSTaR: Towards Financial Reasoning with Time Series Reasoning Models
arXiv:2605.03460v5 Announce Type: replace Abstract: Time series (TS) reasoning models (TSRMs) have shown…
arXiv Artificial IntelligenceRevisiting the Effectiveness of LLM Pruning for Test-Time Scaling
arXiv:2604.25098v3 Announce Type: replace Abstract: Large Language Models (LLMs) now exhibit remarkable…
arXiv Artificial IntelligenceActivation Steering for Aligned Open-ended Generation without Sacrificing Coherence
arXiv:2604.08169v3 Announce Type: replace Abstract: Alignment in LLMs is more brittle than commonly assumed…
arXiv Artificial IntelligenceATP-Bench: Towards Agentic Tool Planning for MLLM Interleaved Generation
arXiv:2603.29902v2 Announce Type: replace Abstract: Interleaved text-and-image generation represents a…
arXiv Artificial IntelligenceReinforcing the World's Edge: A Continual Learning Problem in the Multi-Agent-World Boundary
arXiv:2603.06813v2 Announce Type: replace Abstract: In a stationary decentralized Markov game, learning peers…
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