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

Improving Language Model Reasoning with Self-motivated Learning

Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), 8840--8852, 2024.

Feng, Yunlong and Xu, Yang and Qin, Libo and Wang, Yasheng and Che, Wanxiang

Improving Language Model Reasoning with Self-motivated Learning

Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), 8840--8852, 2024.

Feng, Yunlong and Xu, Yang and Qin, Libo and Wang, Yasheng and Che, Wanxiang

Self-Constructed Context Decompilation with Fined-grained Alignment Enhancement

arXiv preprint arXiv:2406.17233, 2024.

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

Self-Constructed Context Decompilation with Fined-grained Alignment Enhancement

arXiv preprint arXiv:2406.17233, 2024.

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

LayoutLMv2: Multi-modal Pre-training for Visually-rich Document Understanding

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2579--2591, 2021.

Xu, Yang and Xu, Yiheng and Lv, Tengchao and Cui, Lei and Wei, Furu and Wang, Guoxin and Lu, Yijuan and Florencio, Dinei and Zhang, Cha and Che, Wanxiang and Zhang, Min and Zhou, Lidong

LayoutLMv2: Multi-modal Pre-training for Visually-rich Document Understanding

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2579--2591, 2021.

Xu, Yang and Xu, Yiheng and Lv, Tengchao and Cui, Lei and Wei, Furu and Wang, Guoxin and Lu, Yijuan and Florencio, Dinei and Zhang, Cha and Che, Wanxiang and Zhang, Min and Zhou, Lidong

HIT-SCIR at MRP 2019: A Unified Pipeline for Meaning Representation Parsing via Efficient Training and Effective Encoding

Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning, 76--85, 2019.

Che, Wanxiang and Dou, Longxu and Xu, Yang and Wang, Yuxuan and Liu, Yijia and Liu, Ting

HIT-SCIR at MRP 2019: A Unified Pipeline for Meaning Representation Parsing via Efficient Training and Effective Encoding

Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning, 76--85, 2019.

Che, Wanxiang and Dou, Longxu and Xu, Yang and Wang, Yuxuan and Liu, Yijia and Liu, Ting