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Yuyu Zhang

ACL 2026×3评测与基准检索与知识社会与人本代码强化学习与后训练
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0 一作 · 3 篇 · ACL 2026

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2026 顶会论文

3
作者位次 #4/6ACL 2026Poster· Natural Language Processing

Beyond Single-shot Writing: Deep Research Agents are Unreliable at Multi-turn Report Revision

Bingsen Chen · Boyan Li · Ping Nie · Yuyu Zhang · Xi Ye · Chen Zhao

摘要

Existing benchmarks for Deep Research Agents (DRAs) treat report generation as a single-shot writing task, which fundamentally diverges from how human researchers iteratively draft and revise reports via self-reflection or peer feedback. Whether DRAs can reliably revise reports with user feedback...

检索与知识评测与基准社会与人本OpenReview 项目页
作者位次 #14/16ACL 2026Findings· Findings of ACL

SWE - QA -Pro: A Representative Benchmark and Scalable Training Recipe for Repository-Level Code Understanding

Songcheng Cai · Zhiheng LYU · Yuansheng Ni · Xiangchao Chen · Baichuan Zhou · Shenzhe Zhu · Yi Lu · Haozhe WANG · Chi Ruan · Benjamin Schneider · Weixu Zhang · Xiang Li · Andy Zheng · Yuyu Zhang · Ping Nie · Wenhu Chen

摘要

Agentic repository-level code understanding is essential for automating complex software engineering tasks, yet the field lacks reliable benchmarks. Existing evaluations often overlook the long tail topics and rely on popular repositories where Large Language Models (LLMs) can cheat via memorized...

代码强化学习与后训练评测与基准OpenReview 项目页
作者位次 #2/4ACL 2026Findings· Findings of ACL

S ci I mpact: A Multi-Dimensional, Multi-Field Benchmark for Scientific Impact Prediction

Hangxiao Zhu · Yuyu Zhang · Ping Nie · Yu Zhang

摘要

The rapid growth of scientific literature calls for automated methods to assess and predict research impact.Prior work has largely focused on citation-based metrics, leaving limited evaluation of models’ capability to reason about other impact dimensions.To this end, we introduce SciImpact, a lar...

检索与知识评测与基准推理OpenReview 项目页

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