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cs.AI2026

LabCompiler: A Framework for Verifiable Human-Machine Laboratory Execution from Imperfect Protocols

Jingyuan Li, Dongzhan Zhou, Minting Pan +10

Closing the loop of AI-driven science requires reliably translating natural-language protocols into executable laboratory workflows despite protocol defects and heterogeneous hardw…

cs.AI2026

SkillTV-Bench: Benchmarking How Well Judges Perform on Skill-Augmented Agentic Execution

Zhi Han, Chenxi Zeng, Liuhaichen Yang +3

LLM agents increasingly execute long-horizon tasks through tool use and environment interaction, shifting evaluation from final-response scoring to verification of complete executi…

cs.AI2026

Agent-UCT: Upper Confidence Bounds Applied to Trees for Cost-Aware Agentic Workflow Optimization

Yang Li, Hai Liu, Dian Shao +9

Workflow search pays for complete quality observations, whose execution cost changes as reusable prefixes accumulate. AgentUCT uses an economic model of the remaining evaluation co…

cs.AI2026

StateFuse: Deterministic Conflict-Preserving Memory for Multi-Agent Systems

Sergey Volkov, Yang Li, Ye Luo

Agent systems accumulate conflicting observations across branches, retries, and replicas, yet many practical memory layers still collapse disagreement behind overwrite rules that a…

cs.AI2026

Clarus: Coordinating Autonomous Research Agents toward Web-Scale Scientific Collaboration

Zihan Guo, Zeyi Chen, Zhiyu Chen +15

Existing autonomous research agents can support parts of the research process, but most systems still treat research as either an isolated assistant task or a closed workflow. Ther…