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Haonan Li

ACL 2026×3ICLR 2026评测与基准理论与学习动力学代码安全可解释性
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0 一作 · 4 篇 · ACL 2026 / ICLR 2026

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2026 顶会论文

4
作者位次 #7/11ACL 2026Poster· Natural Language Processing

C o Q u IR : A Comprehensive Benchmark for Code Quality-Aware Information Retrieval

Jiahui Geng · Fengyu Cai · Shaobo Cui · Qing Li · Liangwei Chen · Chenyang Lyu · Haonan Li · Derui Zhu · Alexander Pretschner · Heinz Koeppl · Fakhri Karray

摘要

Code retrieval is vital to modern software engineering as it boosts reuse and speeds up debugging. However, current benchmarks primarily emphasize functional relevance while neglecting code quality. To address this gap, we introduce CoQuIR, the first large-scale, multilingual benchmark specifical...

代码评测与基准安全OpenReview 项目页
作者位次 #17/19ACL 2026Poster· Natural Language Processing

Multilingual Idioms in Sentences and Conversations Across High-, Medium-, and Low-Resource Languages

Saeed Almheiri · Bilal Elbouardi · Salsabila Zahirah Pranida · Irina Nikishina · Ashwath Rao B · Parameswari Krishnamurthy · Muhammad Cendekia Airlangga · Rifo Ahmad Genadi · Nguyen Phan Gia Bao · Amir Hossein Yari · Hawau Olamide Toyin · Nurdaulet Mukhituly · Mena Attia · Besher Hassan · Ahmad Fathan Hidayatullah · Tatsuki Kuribayashi · Haonan Li · Suma Bhat · Fajri Koto

摘要

Idiomatic expressions pose a major challenge for multilingual NLP because their meanings shift between figurative and literal usage, often requiring context for accurate interpretation. Prior work has focused on high-resource languages typically evaluates isolated idiom-meaning questions, overloo...

可解释性评测与基准多语言与语言学OpenReview 项目页
作者位次 #17/25ACL 2026Poster· Natural Language Processing

F in C hain: A Symbolic Benchmark for Verifiable Chain-of-Thought Financial Reasoning

Zhuohan Xie · Daniil Orel · Rushil Thareja · Dhruv Sahnan · Hachem Madmoun · Fan Zhang · Debopriyo Banerjee · Georgi Nenkov Georgiev · Xueqing Peng · Lingfei Qian · Jimin Huang · Jinyan Su · Aaryamonvikram Singh · Rui Xing · Rania Elbadry · Chen Xu · Haonan Li · Fajri Koto · Ivan Koychev · Tanmoy Chakraborty · Yuxia Wang · Salem Lahlou · Veselin Stoyanov · Sophia Ananiadou · Preslav Nakov

摘要

Multi-step symbolic reasoning is essential for robust financial analysis; yet, current benchmarks largely overlook this capability. Existing datasets such as FinQA and ConvFinQA emphasize final numerical answers while neglecting the intermediate reasoning steps required for transparency and verif...

评测与基准推理对齐与偏好OpenReview 项目页

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