Judge Q: Trainable Queries for Optimized Information Retention in KV Cache Eviction

Proceedings of the AAAI Conference on Artificial Intelligence, 40(38), 32240--32248, 2026.

Liu, Yijun and Wang, Yixuan and Xu, Yuzhuang and Ji, Shiyu and Xu, Yang and Zhu, Qingfu and Che, Wanxiang

Judge Q: Trainable Queries for Optimized Information Retention in KV Cache Eviction

Proceedings of the AAAI Conference on Artificial Intelligence, 40(38), 32240--32248, 2026.

Liu, Yijun and Wang, Yixuan and Xu, Yuzhuang and Ji, Shiyu and Xu, Yang and Zhu, Qingfu and Che, Wanxiang

Lookahead Q-Cache: Achieving More Consistent KV Cache Eviction via Pseudo Query

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 34158--34174, 2025.

Wang, Yixuan and Ji, Shiyu and Liu, Yijun and Xu, Yuzhuang and Xu, Yang and Zhu, Qingfu and Che, Wanxiang

Lookahead Q-Cache: Achieving More Consistent KV Cache Eviction via Pseudo Query

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 34158--34174, 2025.

Wang, Yixuan and Ji, Shiyu and Liu, Yijun and Xu, Yuzhuang and Xu, Yang and Zhu, Qingfu and Che, Wanxiang

Can Large Language Models Understand You Better? An MBTI Personality Detection Dataset Aligned with Population Traits

Proceedings of the 31st International Conference on Computational Linguistics, 5071--5081, 2025.

Li, Bohan and Guan, Jiannan and Dou, Longxu and Feng, Yunlong and Wang, Dingzirui and Xu, Yang and Wang, Enbo and Chen, Qiguang and Wang, Bichen and Xu, Xiao and Zhang, Yimeng and Qin, Libo and Zhao, Yanyan and Zhu, Qingfu and Che, Wanxiang

Can Large Language Models Understand You Better? An MBTI Personality Detection Dataset Aligned with Population Traits

Proceedings of the 31st International Conference on Computational Linguistics, 5071--5081, 2025.

Li, Bohan and Guan, Jiannan and Dou, Longxu and Feng, Yunlong and Wang, Dingzirui and Xu, Yang and Wang, Enbo and Chen, Qiguang and Wang, Bichen and Xu, Xiao and Zhang, Yimeng and Qin, Libo and Zhao, Yanyan and Zhu, Qingfu 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

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

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

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

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