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cs.AI2026
Trace-to-Architecture: Capability Bottleneck Diagnosis for Harness Revision
Wenfeng Wang, Jianrui Shi, Mingang Guo +5
Improving an LLM agent requires knowing what to change when it fails. Similar failures can require different fixes, and resolving one problem can expose another. We introduce Trace…
cs.AI2026
E3-TIR: Enhanced Experience Exploitation for Tool-Integrated Reasoning
Weiyang Guo, Zesheng Shi, Liye Zhao +5
While Large Language Models (LLMs) have demonstrated significant potential in Tool-Integrated Reasoning (TIR), existing training paradigms face significant limitations: Zero-RL suf…