arXiv Computation and Language By Xin Yin, Yiang Zhang, Zhiyuan Peng, Chao Ni, Zhe Cui, Xiaohua Xin

Chronos Enables Code Agents to Reason over Software Evolution

Read the original on arXiv Computation and Language →

Chronos is a test‑time framework that transforms historical pull requests into structured experience cards linked by a typed graph of code, developer intent, and organizational relations. It uses semantic search and weighted multi‑hop expansion to retrieve relevant cards, guiding both patch generation and selection by LLM‑based code agents. The approach improves resolution rates across multiple LLM backbones on SWE‑Bench and related benchmarks, and human evaluation shows a higher number of useful cards retrieved compared to flat semantic retrieval.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computation and Language.

arXiv Computation and Language
Oct 16

ORACLE-SWE: Quantifying the Contribution of Critical Information Signals on SWE Agents

The paper introduces ORACLE‑SWE, a study that systematically evaluates how different intermediate information signals—such as Reproduction Test, Regression Test, Edit Location, Execution Context, and API Usage—contribute to the success of language‑model agents on software engineering tasks. It quantifies the impact of both oracle‑provided signals and those extracted by agents, and measures the performance gap between current agent‑found signals and their oracle counterparts. The authors release code and a dataset to support future signal‑analysis research in this area.

By Kenan Li, Qirui Jin, Liao Zhu, Xiaosong Huang, Yijia Wu, Yikai Zhang, Xin Zhang, Zijian Jin, Yufan Huang, Elsie Nallipogu, Chaoyun Zhang, Yu Kang, Saravan Rajmohan, Qingwei Lin, Wenke Lee, Dongmei Zhang