研究主题
深入其中 Lei Sha 为活跃的研究主题。这些主题标签来自此人的成果。它们共同形成唯一的指纹。
- 1 相似学者
最近五年的合作关系和顶尖研究领域
最近的国家/地区级外部合作关系。点击圆点,以了解详细信息或
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Large Language Models Struggle with Unreasonability in Math Problems
Ma, J., Dai, D., Yuan, Z., Li, R., Luo, W., Wang, B., Liu, Q., Sha, L. & Sui, Z., 2026, Proceedings of the AAAI Conference on Artificial Intelligence. Koenig, S., Jenkins, C. & Taylor, M. E. (编辑). 38 编辑 Association for the Advancement of Artificial Intelligence, 页码 32428-32436 9 页码 (Proceedings of the AAAI Conference on Artificial Intelligence; 卷 40, 号码 38).科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审
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How Far are LLMs from Being Our Digital Twins? A Benchmark for Persona-Based Behavior Chain Simulation
Li, R., Xia, H., Yuan, X., Dong, Q., Sha, L., Li, W. & Sui, Z., 2025, Findings of the Association for Computational Linguistics: ACL 2025. Che, W., Nabende, J., Shutova, E. & Pilehvar, M. T. (编辑). Association for Computational Linguistics (ACL), 页码 15738-15763 26 页码 (Proceedings of the Annual Meeting of the Association for Computational Linguistics).科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审
开放访问2 !!Link opens in a new tab 引用 (Scopus) -
HSF: Defending against Jailbreak Attacks with Hidden State Filtering
Qian, C., Zhang, H., Sha, L. & Zheng, Z., 23 5月 2025, WWW Companion 2025 - Companion Proceedings of the ACM Web Conference 2025. Association for Computing Machinery, Inc, 页码 2078-2087 10 页码 (WWW Companion 2025 - Companion Proceedings of the ACM Web Conference 2025).科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审
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LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution Shifts
Ren, Q., Li, H., Liu, D., Xie, Z., Lu, X., Qiao, Y., Sha, L., Yan, J., Ma, L. & Shao, J., 2025, Long Papers. Che, W., Nabende, J., Shutova, E. & Pilehvar, M. T. (编辑). Association for Computational Linguistics (ACL), 页码 24763-24785 23 页码 (Proceedings of the Annual Meeting of the Association for Computational Linguistics; 卷 1).科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审
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OMNI-MATH: A UNIVERSAL OLYMPIAD LEVEL MATHEMATIC BENCHMARK FOR LARGE LANGUAGE MODELS
Gao, B., Song, F., Yang, Z., Cai, Z., Miao, Y., Dong, Q., Li, L., Ma, C., Chen, L., Xu, R., Tang, Z., Wang, B., Zan, D., Quan, S., Zhang, G., Sha, L., Zhang, Y., Ren, X., Liu, T. & Chang, B., 2025, 13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, 页码 98023-98052 30 页码 (13th International Conference on Learning Representations, ICLR 2025).科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审
9 !!Link opens in a new tab 引用 (Scopus)