Beyond Static Evaluation: A Dynamic Approach to Assessing AI Assistants’ API Invocation Capabilities

Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), 2342--2353, 2024.

Mu, Honglin and Xu, Yang and Feng, Yunlong and Han, Xiaofeng and Li, Yitong and Hou, Yutai and Che, Wanxiang

Beyond Static Evaluation: A Dynamic Approach to Assessing AI Assistants’ API Invocation Capabilities

Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), 2342--2353, 2024.

Mu, Honglin and Xu, Yang and Feng, Yunlong and Han, Xiaofeng and Li, Yitong and Hou, Yutai and Che, Wanxiang

Concise and Precise Context Compression for Tool-Using Language Models

Findings of the Association for Computational Linguistics: ACL 2024, 16430--16441, 2024.

Xu, Yang and Feng, Yunlong and Mu, Honglin and Hou, Yutai and Li, Yitong and Wang, Xinghao and Zhong, Wanjun and Li, Zhongyang and Tu, Dandan and Zhu, Qingfu and Zhang, Min and Che, Wanxiang

Concise and Precise Context Compression for Tool-Using Language Models

Findings of the Association for Computational Linguistics: ACL 2024, 16430--16441, 2024.

Xu, Yang and Feng, Yunlong and Mu, Honglin and Hou, Yutai and Li, Yitong and Wang, Xinghao and Zhong, Wanjun and Li, Zhongyang and Tu, Dandan and Zhu, Qingfu and Zhang, Min and Che, Wanxiang

Self-Constructed Context Decompilation with Fined-grained Alignment Enhancement

Findings of the Association for Computational Linguistics: EMNLP 2024, 6603--6614, 2024.

Feng, Yunlong and Teng, Dechuan and Xu, Yang and Mu, Honglin and Xu, Xiao and Qin, Libo and Zhu, Qingfu and Che, Wanxiang

Self-Constructed Context Decompilation with Fined-grained Alignment Enhancement

Findings of the Association for Computational Linguistics: EMNLP 2024, 6603--6614, 2024.

Feng, Yunlong and Teng, Dechuan and Xu, Yang and Mu, Honglin and Xu, Xiao and Qin, Libo and Zhu, Qingfu and Che, Wanxiang