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cs.AI2026
Knowing When to Yield: Grounded Arbitration of User Corrections in Text-Based Embodied Agents
Yezhou Cheng, Runjia Du, Zeming Liu +3
How should an embodied agent respond when a person's correction may be wrong? We formulate grounded correction arbitration as a choice among accepting, rejecting, inspecting the wo…
cs.AI2026
SemVerBench: Benchmarking LLM Comprehension of Version-Constraint Resolution Semantics
Qibai Chen, Zeming Liu
Large language model (LLM) coding agents constantly decide whether a version satisfies a constraint such as ^1.2.3 or >=2.0,<3, yet their grasp of version-constraint semantics has…