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Shicheng Tan

ACL 2026×2评测与基准推理对齐与偏好安全可解释性
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0 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
作者位次 #12/14ACL 2026Poster· Natural Language Processing

C omp T ab: A Comprehensive Benchmark for Real-World T able QA with Complex Reasoning and Irregular Tables

Zhen Yang · Wei Du · Jie Wang · Wenze Zhou · Xiangfeng Meng · Zhengyang Wang · Suping Sun · Ziwei Du · Haodong Zou · Jie Chen · Yongbin Liu · Shicheng Tan · jiahao ying · Shu Zhao

摘要

Recent progress in Large Language Model (LLM) based Table Question Answering (TableQA) has demonstrated strong performance on standard benchmarks. However, existing benchmarks mainly focus on well-structured tables and fail to reflect the irregular structures and complex reasoning commonly encoun...

评测与基准推理对齐与偏好OpenReview 项目页
作者位次 #6/9ACL 2026Findings· Findings of ACL

Rejection-to-Acceptance Transition: Model Editing-Based Jailbreak Backdoor Injection Not Limited to Few Output Tokens

Shiji Yang · Min Cai · Hao Xiong · Congyao Mei · Haodong Zou · Shicheng Tan · Jie Chen · Fulan Qian · Shu Zhao

摘要

Model editing-based jailbreak backdoor attacks against LLMs have gained attention for being lightweight, enabling vulnerability discovery in LLMs. Existing methods are implemented by binding backdoors to predefined phrases as first few output tokens, inducing the LLM’s next-token prediction to pr...

安全可解释性数据与预训练OpenReview 项目页

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