Fangkai Yang
2024
Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments
Sitao Cheng
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Ziyuan Zhuang
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Yong Xu
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Fangkai Yang
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Chaoyun Zhang
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Xiaoting Qin
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Xiang Huang
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Ling Chen
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Qingwei Lin
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Dongmei Zhang
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Saravan Rajmohan
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Qi Zhang
Findings of the Association for Computational Linguistics: ACL 2024
SELF-GUARD: Empower the LLM to Safeguard Itself
Zezhong Wang
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Fangkai Yang
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Lu Wang
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Pu Zhao
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Hongru Wang
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Liang Chen
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Qingwei Lin
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Kam-Fai Wong
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
Introducing GenCeption for Multimodal LLM Benchmarking: You May Bypass Annotations
Lele Cao
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Valentin Buchner
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Zineb Senane
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Fangkai Yang
Proceedings of the 4th Workshop on Trustworthy Natural Language Processing (TrustNLP 2024)
2023
Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering
Fangkai Yang
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Pu Zhao
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Zezhong Wang
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Lu Wang
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Bo Qiao
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Jue Zhang
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Mohit Garg
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Qingwei Lin
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Saravan Rajmohan
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Dongmei Zhang
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track
Co-authors
- Qingwei Lin 3
- Pu Zhao 2
- Zezhong Wang 2
- Lu Wang 2
- Saravan Rajmohan 2
- show all...