🧑‍🔬 Zhifang Sui — all works

28 works · ← Zhifang Sui

1. Knowledge Neurons in Pretrained Transformers ↗Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetDamai Dai et al.2022 · 568 citations
2. Large Language Models are not Fair Evaluators ↗Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetPeiyi Wang et al.2024 · 563 citations
3. DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models ↗Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetDamai Dai et al.2024 · 559 citations
4. Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human AnnotationsAnnual Meeting of the Association for Computational Linguistics (ACL)Peiyi Wang, Lei Li, Zhihong Shao, et al.2024 · 497 citations
5. A Dual Reinforcement Learning Framework for Unsupervised Text Style TransferInternational Joint Conference on Artificial IntelligenceFuli Luo, Peng Li, Jie Zhou, et al.2019 · 266 citations
6. Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-OptimizersFindings of the Association for Computational LinguisticsDamai Dai, Yutao Sun, Li Dong, et al.2023 · 257 citations
7. A Soft-label Method for Noise-tolerant Distantly Supervised Relation Extraction ↗Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yetTianyu Liu et al.2017 · 183 citations
8. Implicit Discourse Relation Classification via Multi-Task Neural NetworksProceedings of the AAAI Conference on Artificial IntelligenceYang Liu, Sujian Li, Xiaodong Zhang, et al.2016 · 162 citations
9. Encoding Temporal Information for Time-Aware Link Prediction ↗Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yetTingsong Jiang et al.2016 · 148 citations
10. Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative DecodingFindings of the Association for Computational LinguisticsHeming Xia, Zhe Yang, Qingxiu Dong, et al.2024 · 146 citations
11. Incorporating Glosses into Neural Word Sense Disambiguation ↗Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetFuli Luo et al.2018 · 145 citations
12. A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Tianyu Liu, Yizhe Zhang, Chris Brockett, et al.2022 · 142 citations
13. Calibrating Factual Knowledge in Pretrained Language ModelsFindings of the Association for Computational LinguisticsQingxiu Dong, Damai Dai, Yifan Song, et al.2022 · 115 citations
14. Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq GenerationFindings of the Association for Computational LinguisticsHeming Xia, Tao Ge, Peiyi Wang, et al.2023 · 103 citations
15. A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction ↗Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetRunxin Xu et al.2022 · 98 citations
16. Leveraging Gloss Knowledge in Neural Word Sense Disambiguation by Hierarchical Co-Attention ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetFuli Luo et al.2018 · 87 citations
17. Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models ↗arXiv:2402.13064 · no summary yetHaoran Li et al.2024 · 65 citations
18. Towards Fine-grained Text Sentiment Transfer ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetFuli Luo et al.2019 · 51 citations
19. An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language InferenceConference on Computational Natural Language Learning (CoNLL)Tianyu Liu, Xin Zheng, Xiaoan Ding, et al.2020 · 37 citations
20. HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language InferenceLanguage Resources and Evaluation Conference (LREC)Tianyu Liu, Xin Zheng, Baobao Chang, et al.2020 · 28 citations
21. ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs ↗Findings of the Association for Computational Linguistics: NAACL 2022 · no summary yetLiang Chen et al.2022 · 18 citations
22. Hierarchical Curriculum Learning for AMR Parsing ↗Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yetPeiyi Wang et al.2022 · 18 citations
23. Language Models Encode the Value of Numbers LinearlyInternational Conference on Computational Linguistics (COLING)Fangwei Zhu, Damai Dai, Zhifang Sui2025 · 15 citations
24. Confidence v.s. Critique: A Decomposition of Self-Correction Capability for LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhe Yang, Yichang Zhang, Yudong Wang, et al.2025 · 11 citations
25. Recognizing Textual Entailment Using Probabilistic InferenceConference on Empirical Methods in Natural Language Processing (EMNLP)Lei Sha, Sujian Li, Baobao Chang, et al.2015 · 10 citations
26. Guiding AMR Parsing with Reverse Graph Linearization ↗Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yetBofei Gao et al.2023 · 4 citations
27. HAUNTATTACK: When Attack Follows Reasoning as a ShadowFindings of the Association for Computational LinguisticsJingyuan Ma, Rui Li, Zheng Li, et al.2026 · 3 citations
28. Towards Stable and Effective Reinforcement Learning for Mixture-of-ExpertsAnnual Meeting of the Association for Computational Linguistics (ACL)Di Zhang, Xun Wu, Shaohan Huang, et al.2026 · 1 citation

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