🧑‍🔬 Tao Gui — all works

29 works · ← Tao Gui

1. A Unified Generative Framework for Various NER SubtasksAnnual Meeting of the Association for Computational Linguistics (ACL)Hang Yan, Tao Gui, Junqi Dai, et al.2021 · 394 citations
2. CNN-Based Chinese NER with Lexicon Rethinking ↗International Joint Conference on Artificial Intelligence · no summary yetTao Gui et al.2019 · 297 citations
3. A Lexicon-Based Graph Neural Network for Chinese NER ↗Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yetTao Gui et al.2019 · 286 citations
4. A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models ↗arXiv:2303.10420 · no summary yetJunjie Ye et al.2023 · 283 citations
5. InstructUIE: Multi-task Instruction Tuning for Unified Information ExtractionarXiv:2304.08085Xiao Wang, Weikang Zhou, Can Zu, et al.2023 · 194 citations
6. Template-free Prompt Tuning for Few-shot NERConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Ruotian Ma, Xin Zhou, Tao Gui, et al.2022 · 182 citations
7. TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language ProcessingAnnual Meeting of the Association for Computational Linguistics (ACL)Xiao Wang, Qin Liu, Tao Gui, et al.2021 · 147 citations
8. Orthogonal Subspace Learning for Language Model Continual Learning ↗arXiv:2310.14152 · no summary yetXiao Wang et al.2023 · 145 citations
9. Part-of-Speech Tagging for Twitter with Adversarial Neural Networks ↗Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yetTao Gui et al.2017 · 117 citations
10. Trainable Undersampling for Class-Imbalance Learning ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetMinlong Peng et al.2019 · 112 citations
11. One2Set: Generating Diverse Keyphrases as a Set ↗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) · no summary yetJiacheng Ye et al.2021 · 104 citations
12. LLaMA Beyond English: An Empirical Study on Language Capability Transfer ↗arXiv:2401.01055 · no summary yetJun Zhao et al.2024 · 78 citations
13. Secrets of RLHF in Large Language Models Part II: Reward Modeling ↗arXiv:2401.06080 · no summary yetBinghai Wang et al.2024 · 72 citations
14. Unveiling Linguistic Regions in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhihao Zhang, Jun Zhao, Qi Zhang, et al.2024 · 39 citations
15. Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning ↗arXiv:2402.05808 · no summary yetZhiheng Xi et al.2024 · 36 citations
16. ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world ScenariosInternational Conference on Computational Linguistics (COLING)Junjie Ye, Guanyu Li, SongYang Gao, et al.2025 · 35 citations
17. StepCoder: Improving Code Generation with Reinforcement Learning from Compiler Feedback ↗Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetShihan Dou et al.2024 · 32 citations
18. RMB: Comprehensively Benchmarking Reward Models in LLM AlignmentarXiv:2410.09893Enyu Zhou, Guodong Zheng, Binghai Wang, et al.2024 · 30 citations
19. ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool UseAnnual Meeting of the Association for Computational Linguistics (ACL)Junjie Ye, Zhengyin Du, Xuesong Yao, et al.2025 · 15 citations
20. Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity RecognitionInternational Conference on Computational Linguistics (COLING)Yuming Yang, Wantong Zhao, Caishuang Huang, et al.2025 · 11 citations
21. Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable MetricAnnual Meeting of the Association for Computational Linguistics (ACL)Yuming Yang, Yang Nan, Junjie Ye, et al.2025 · 11 citations
22. Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build EnvironmentsFindings of the Association for Computational LinguisticsJunjie Ye, Changhao Jiang, Zhengyin Du, et al.2026 · 6 citations
23. MulDimIF: A Multi-Dimensional Constraint Framework for Evaluating and Improving Instruction Following in Large Language ModelsFindings of the Association for Computational LinguisticsJunjie Ye, Caishuang Huang, Zhuohan Chen, et al.2026 · 4 citations
24. Outcome Accuracy is Not Enough: Aligning the Reasoning Process of Reward ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Binghai Wang, Yantao Liu, Yuxuan Liu, et al.2026 · 3 citations
25. Enhancing LLM-based Search Agents via Contribution Weighted Group Relative Policy OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Junzhe Wang, Zhiheng Xi, Yajie Yang, et al.2026
26. AgentGym2: Benchmarking Large Language Model Agents in De-Idealized Real-World Environments ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetZhiheng Xi et al.2026
27. ABC-Bench: Benchmarking Agentic Backend Coding in Real-World Development ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetJie Yang et al.2026
28. AgentV-RL: Scaling Reward Modeling with Agentic Verifier ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetJiazheng Zhang et al.2026
29. VRPO: Rethinking Value Modeling for Robust RL under Noisy Supervision in LLM Post-Training ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetDingwei Zhu et al.2026

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/tao-gui/works/