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Junxian He — all works

29 works · ← Junxian He

  1. Towards a Unified View of Parameter-Efficient Transfer LearningarXiv:2110.04366Junxian He, Chunting Zhou, Xuezhe Ma, et al.2021 · 619 citations
  2. Lagging Inference Networks and Posterior Collapse in Variational Autoencoders ↗arXiv (Cornell University) · no summary yetJunxian He et al.2019 · 246 citations
  3. What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction TuningarXiv:2312.15685Wei Liu, Weihao Zeng, Keqing He, et al.2023 · 178 citations
  4. FacTool: Factuality Detection in Generative AI — A Tool Augmented Framework for Multi-Task and Multi-Domain ScenariosarXiv:2307.13528I-Chun Chern, Steffi Chern, Shiqi Chen, et al.2023 · 160 citations
  5. SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the WildarXiv:2503.18892Weihao Zeng, Yuzhen Huang, Qian Liu, et al.2025 · 154 citations
  6. A Probabilistic Formulation of Unsupervised Text Style Transfer ↗arXiv:2002.03912 · no summary yetJunxian He et al.2020 · 136 citations
  7. StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing ↗Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetPengcheng Yin et al.2018 · 122 citations
  8. Mega: Moving Average Equipped Gated Attention ↗arXiv (Cornell University) · no summary yetXuezhe Ma et al.2022 · 103 citations
  9. FELM: Benchmarking Factuality Evaluation of Large Language Models ↗arXiv:2310.00741 · no summary yetShiqi Chen et al.2023 · 99 citations
  10. AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents ↗arXiv:2401.13178 · no summary yetChang Ma et al.2024 · 90 citations
  11. A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text ↗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 yetBohan Li et al.2019 · 87 citations
  12. Prompt Consistency for Zero-Shot Task Generalization ↗Findings of the Association for Computational Linguistics: EMNLP 2022 · no summary yetChunting Zhou et al.2022 · 83 citations
  13. DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving ↗arXiv:2407.13690 · no summary yetYuxuan Tong et al.2024 · 81 citations
  14. Unsupervised Learning of Syntactic Structure with Invertible Neural Projections ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetJunxian He, Graham Neubig, Taylor Berg-Kirkpatrick2018 · 72 citations
  15. A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and BeyondarXiv:2503.21614Xiaoye Qu, Yafu Li, Zhao-Chen Su, et al.2025 · 55 citations
  16. Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval ↗arXiv (Cornell University) · no summary yetUri S. Alon et al.2022 · 55 citations
  17. Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetJunxian He et al.2019 · 35 citations
  18. Learning Sparse Prototypes for Text Generation ↗arXiv (Cornell University) · no summary yetJunxian He, Taylor Berg-Kirkpatrick, Graham Neubig2020 · 27 citations
  19. CodeI/O: Condensing Reasoning Patterns via Code Input-Output PredictionarXiv:2502.07316Junlong Li, Daya Guo, Dejian Yang, et al.2025 · 21 citations
  20. Capturing Structural Locality in Non-parametric Language Models ↗arXiv (Cornell University) · no summary yetFrank F. Xu et al.2021 · 8 citations
  21. Dependency Induction Through the Lens of Visual Perception ↗Proceedings of the 25th Conference on Computational Natural Language Learning · no summary yetRuisi Su et al.2021 · 5 citations
  22. High-Dimensional Interlingual Representations of Large Language Models ↗Proceedings of the 7th Workshop on Research in Computational Linguistic Typology and Multilingual NLP · no summary yetBryan Wilie et al.2025 · 4 citations
  23. How Can Synthetic Data Improve Multilingual Language Model Pretraining? A Data Quality Perspective ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetTongyao Zhu et al.2026

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