---
title: "Junxian He — all works — Elamur Research"
description: "All 29 works of Junxian He in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/junxian-he/works/"
---
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# Junxian He — all works

29 works · [← Junxian He](https://md.research.elamur.ai/free/en/authors/junxian-he/)

1. **[On the Sentence Embeddings from Pre-trained Language Models](https://md.research.elamur.ai/free/en/papers/li-2020-sentence-embeddings-pre-trained-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Bohan Li, Hao Zhou, Junxian He, et al.*2020 · 833 citations*
2. [**Towards a Unified View of Parameter-Efficient Transfer Learning arXiv:2110.04366**Junxian He, Chunting Zhou, Xuezhe Ma, et al.*2021 · 619 citations*](https://md.research.elamur.ai/free/en/papers/he-2021-towards-unified-view-parameter-efficient/)
3. **[Choosing Transfer Languages for Cross-Lingual Learning](https://md.research.elamur.ai/free/en/papers/lin-2019-choosing-transfer-languages-cross-lingual/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yu-Hsiang Lin, Chian-Yu Chen, Jean Lee, et al.*2019 · 317 citations*
4. **[Lagging Inference Networks and Posterior Collapse in Variational Autoencoders ↗](https://arxiv.org/abs/1901.05534) arXiv (Cornell University) · no summary yet**Junxian He et al.*2019 · 246 citations*
5. **[CTRLsum: Towards Generic Controllable Text Summarization](https://md.research.elamur.ai/free/en/papers/he-2022-ctrlsum-generic-controllable-text-summarization/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Junxian He, Wojciech Kryscinski, Bryan McCann, et al.*2022 · 201 citations*
6. [**What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning arXiv:2312.15685**Wei Liu, Weihao Zeng, Keqing He, et al.*2023 · 178 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-makes-good-data-alignment-comprehensive/)
7. [**FacTool: Factuality Detection in Generative AI — A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios arXiv:2307.13528**I-Chun Chern, Steffi Chern, Shiqi Chen, et al.*2023 · 160 citations*](https://md.research.elamur.ai/free/en/papers/chern-2023-factool-factuality-detection-generative-ai/)
8. [**SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild arXiv:2503.18892**Weihao Zeng, Yuzhen Huang, Qian Liu, et al.*2025 · 154 citations*](https://md.research.elamur.ai/free/en/papers/zeng-2025-simplerl-zoo-investigating-taming-zero/)
9. **[Self-Evaluation Guided Beam Search for Reasoning](https://md.research.elamur.ai/free/en/papers/xie-2023-self-evaluation-guided-beam-search/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Yuxi Xie, Kenji Kawaguchi, Yiran Zhao, et al.*2023 · 149 citations*
10. **[A Probabilistic Formulation of Unsupervised Text Style Transfer ↗](https://arxiv.org/abs/2002.03912) arXiv:2002.03912 · no summary yet**Junxian He et al.*2020 · 136 citations*
11. **[Efficient Nearest Neighbor Language Models](https://md.research.elamur.ai/free/en/papers/he-2021-efficient-nearest-neighbor-language-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick*2021 · 130 citations*
12. **[StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing ↗](https://aclanthology.org/P18-1070/) Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Pengcheng Yin et al.*2018 · 122 citations*
13. **[Mega: Moving Average Equipped Gated Attention ↗](https://arxiv.org/abs/2209.10655) arXiv (Cornell University) · no summary yet**Xuezhe Ma et al.*2022 · 103 citations*
14. **[FELM: Benchmarking Factuality Evaluation of Large Language Models](https://md.research.elamur.ai/free/en/papers/chen-2023-felm-benchmarking-factuality-evaluation-large/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Shiqi Chen, Yiran Zhao, Jinghan Zhang, et al.*2023 · 99 citations*
15. **[AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents](https://md.research.elamur.ai/free/en/papers/ma-2024-agentboard-analytical-evaluation-board-multi/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Chang Ma, Junlei Zhang, Zhihao Zhu, et al.*2024 · 90 citations*
16. **[A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text ↗](https://aclanthology.org/D19-1370/) 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 yet**Bohan Li et al.*2019 · 87 citations*
17. **[Prompt Consistency for Zero-Shot Task Generalization ↗](https://aclanthology.org/2022.findings-emnlp.192/) Findings of the Association for Computational Linguistics: EMNLP 2022 · no summary yet**Chunting Zhou et al.*2022 · 83 citations*
18. [**DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving arXiv:2407.13690**Yuxuan Tong, Xiwen Zhang, Rui Wang, et al.*2024 · 81 citations*](https://md.research.elamur.ai/free/en/papers/tong-2024-dart-math-difficulty-aware-rejection/)
19. **[Unsupervised Learning of Syntactic Structure with Invertible Neural Projections ↗](https://aclanthology.org/D18-1160/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick*2018 · 72 citations*
20. [**A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond arXiv:2503.21614**Xiaoye Qu, Yafu Li, Zhao-Chen Su, et al.*2025 · 55 citations*](https://md.research.elamur.ai/free/en/papers/qu-2025-survey-efficient-reasoning-large-reasoning/)
21. **[Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval ↗](https://arxiv.org/abs/2201.12431) arXiv (Cornell University) · no summary yet**Uri S. Alon et al.*2022 · 55 citations*
22. **[Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections ↗](https://aclanthology.org/P19-1311/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Junxian He et al.*2019 · 35 citations*
23. **[Learning Sparse Prototypes for Text Generation ↗](https://arxiv.org/abs/2006.16336) arXiv (Cornell University) · no summary yet**Junxian He, Taylor Berg-Kirkpatrick, Graham Neubig*2020 · 27 citations*
24. [**CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction arXiv:2502.07316**Junlong Li, Daya Guo, Dejian Yang, et al.*2025 · 21 citations*](https://md.research.elamur.ai/free/en/papers/li-2025-codei-o-condensing-reasoning/)
25. **[Genius: A Generalizable and Purely Unsupervised Self-Training Framework For Advanced Reasoning](https://md.research.elamur.ai/free/en/papers/xu-2025-genius-generalizable-purely-unsupervised-self/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Fangzhi Xu, Hang Yan, Chang Ma, et al.*2025 · 8 citations*
26. **[Capturing Structural Locality in Non-parametric Language Models ↗](https://arxiv.org/abs/2110.02870) arXiv (Cornell University) · no summary yet**Frank F. Xu et al.*2021 · 8 citations*
27. **[Dependency Induction Through the Lens of Visual Perception ↗](https://aclanthology.org/2021.conll-1.2/) Proceedings of the 25th Conference on Computational Natural Language Learning · no summary yet**Ruisi Su et al.*2021 · 5 citations*
28. **[High-Dimensional Interlingual Representations of Large Language Models ↗](https://aclanthology.org/2025.sigtyp-1.14/) Proceedings of the 7th Workshop on Research in Computational Linguistic Typology and Multilingual NLP · no summary yet**Bryan Wilie et al.*2025 · 4 citations*
29. **[How Can Synthetic Data Improve Multilingual Language Model Pretraining? A Data Quality Perspective](https://md.research.elamur.ai/free/en/papers/zhu-2026-how-can-synthetic-data-improve/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tongyao Zhu, Qian Liu, Chang Ma, et al.*2026*