---
title: "Xuanjing Huang — all works — Elamur Research"
description: "All 64 works of Xuanjing Huang in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
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---
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# Xuanjing Huang — all works

64 works · [← Xuanjing Huang](https://md.research.elamur.ai/free/en/authors/xuanjing-huang/)

1. [**Pre-trained Models for Natural Language Processing: A Survey arXiv:2003.08271 · SCIENCE CHINA Technological Sciences,2020, 63, 1872-1897**Xipeng Qiu, Tianxiang Sun, Yige Xu, et al.*2020 · 1,759 citations*](https://md.research.elamur.ai/free/en/papers/qiu-2020-pre-trained-models-natural-language/)
2. **[Adversarial Multi-task Learning for Text Classification](https://md.research.elamur.ai/free/en/papers/liu-2017-adversarial-multi-task-learning-text/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Pengfei Liu, Xipeng Qiu, Xuanjing Huang*2017 · 729 citations*
3. [**K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters arXiv:2002.01808**Ruize Wang, Duyu Tang, Nan Duan, et al.*2020 · 666 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-k-adapter-infusing-knowledge-pre/)
4. **[Extractive Summarization as Text Matching](https://md.research.elamur.ai/free/en/papers/zhong-2020-extractive-summarization-as-text-matching/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ming Zhong, Pengfei Liu, Yiran Chen, et al.*2020 · 570 citations*
5. **[FLAT: Chinese NER Using Flat-Lattice Transformer](https://md.research.elamur.ai/free/en/papers/li-2020-flat-chinese-ner-flat-lattice/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaonan Li, Hang Yan, Xipeng Qiu, et al.*2020 · 505 citations*
6. **[Phrase Dependency Parsing for Opinion Mining](https://md.research.elamur.ai/free/en/papers/wu-2009-phrase-dependency-parsing-opinion-mining/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yuanbin Wu, Qi Zhang, Xuanjing Huang, et al.*2009 · 423 citations*
7. [**How to Fine-Tune BERT for Text Classification? arXiv:1905.05583**Chi Sun, Xipeng Qiu, Yige Xu, et al.*2019 · 407 citations*](https://md.research.elamur.ai/free/en/papers/sun-2019-fine-tune-bert-text-classification/)
8. **[Heterogeneous Graph Neural Networks for Extractive Document Summarization](https://md.research.elamur.ai/free/en/papers/wang-2020-heterogeneous-graph-neural-networks-extractive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Danqing Wang, Pengfei Liu, Yining Zheng, et al.*2020 · 370 citations*
9. **[GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge](https://md.research.elamur.ai/free/en/papers/huang-2019-glossbert-bert-word-sense-disambiguation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Luyao Huang, Chi Sun, Xipeng Qiu, et al.*2019 · 366 citations*
10. **[Long Short-Term Memory Neural Networks for Chinese Word Segmentation](https://md.research.elamur.ai/free/en/papers/chen-2015-long-short-term-memory-neural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xinchi Chen, Xipeng Qiu, Chenxi Zhu, et al.*2015 · 336 citations*
11. **[Simplify the Usage of Lexicon in Chinese NER ↗](https://aclanthology.org/2020.acl-main.528/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Ruotian Ma et al.*2020 · 326 citations*
12. **[Style Transformer: Unpaired Text Style Transfer without Disentangled Latent Representation](https://md.research.elamur.ai/free/en/papers/dai-2019-style-transformer-unpaired-text-style/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ning Dai, Jianze Liang, Xipeng Qiu, et al.*2019 · 301 citations*
13. **[CNN-Based Chinese NER with Lexicon Rethinking ↗](https://doi.org/10.24963/ijcai.2019/692) International Joint Conference on Artificial Intelligence · no summary yet**Tao Gui et al.*2019 · 297 citations*
14. **[A Lexicon-Based Graph Neural Network for Chinese NER ↗](https://aclanthology.org/D19-1096/) 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**Tao Gui et al.*2019 · 286 citations*
15. **[Task-oriented Dialogue System for Automatic Diagnosis](https://md.research.elamur.ai/free/en/papers/wei-2018-task-oriented-dialogue-system-automatic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhongyu Wei, Qianlong Liu, Baolin Peng, et al.*2018 · 254 citations*
16. **[CoLAKE: Contextualized Language and Knowledge Embedding](https://md.research.elamur.ai/free/en/papers/sun-2020-colake-contextualized-language-knowledge-embedding/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Tianxiang Sun, Yunfan Shao, Xipeng Qiu, et al.*2020 · 239 citations*
17. **[Searching for Effective Neural Extractive Summarization: What Works and What's Next](https://md.research.elamur.ai/free/en/papers/zhong-2019-searching-effective-neural-extractive-summarization/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ming Zhong, Pengfei Liu, Danqing Wang, et al.*2019 · 225 citations*
18. **[Adversarial Multi-Criteria Learning for Chinese Word Segmentation ↗](https://aclanthology.org/P17-1110/) Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Xinchi Chen et al.*2017 · 223 citations*
19. **[Do Large Language Models Know What They Don't Know? ↗](https://aclanthology.org/2023.findings-acl.551/) Findings of the Association for Computational Linguistics: ACL 2023 · no summary yet**Zhangyue Yin et al.*2023 · 222 citations*
20. **[Cached Long Short-Term Memory Neural Networks for Document-Level Sentiment Classification ↗](https://aclanthology.org/D16-1172/) Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yet**Jiacheng Xu et al.*2016 · 206 citations*
21. **[Multi-Timescale Long Short-Term Memory Neural Network for Modelling Sentences and Documents ↗](https://aclanthology.org/D15-1280/) Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing · no summary yet**Pengfei Liu et al.*2015 · 197 citations*
22. **[Template-free Prompt Tuning for Few-shot NER](https://md.research.elamur.ai/free/en/papers/ma-2022-template-free-prompt-tuning-few/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Ruotian Ma, Xin Zhou, Tao Gui, et al.*2022 · 182 citations*
23. **[Generating Responses with a Specific Emotion in Dialog ↗](https://aclanthology.org/P19-1359/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Zhenqiao Song et al.*2019 · 180 citations*
24. **[Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning ↗](https://aclanthology.org/P19-1231/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Minlong Peng et al.*2019 · 162 citations*
25. **[SpanNER: Named Entity Re-/Recognition as Span Prediction ↗](https://aclanthology.org/2021.acl-long.558/) 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 yet**Jinlan Fu, Xuanjing Huang, Pengfei Liu*2021 · 161 citations*
26. **[Orthogonal Subspace Learning for Language Model Continual Learning ↗](https://arxiv.org/abs/2310.14152) arXiv:2310.14152 · no summary yet**Xiao Wang et al.*2023 · 145 citations*
27. **[DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models](https://md.research.elamur.ai/free/en/papers/he-2023-diffusionbert-improving-generative-masked-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhengfu He, Tianxiang Sun, Qiong Tang, et al.*2023 · 136 citations*
28. [**DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services arXiv:2309.11325**Shengbin Yue, Wei Chen, Siyuan Wang, et al.*2023 · 121 citations*](https://md.research.elamur.ai/free/en/papers/yue-2023-disc-lawllm-fine-tuning-large/)
29. **[Part-of-Speech Tagging for Twitter with Adversarial Neural Networks ↗](https://aclanthology.org/D17-1256/) Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yet**Tao Gui et al.*2017 · 117 citations*
30. **[Implicit Discourse Relation Detection via a Deep Architecture with Gated Relevance Network](https://md.research.elamur.ai/free/en/papers/chen-2016-implicit-discourse-relation-detection-deep/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jifan Chen, Qi Zhang, Pengfei Liu, et al.*2016 · 115 citations*
31. **[Trainable Undersampling for Class-Imbalance Learning ↗](https://doi.org/10.1609/aaai.v33i01.33014707) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Minlong Peng et al.*2019 · 112 citations*
32. **[CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors](https://md.research.elamur.ai/free/en/papers/li-2023-codeie-large-code-generation-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Peng Li, Tianxiang Sun, Qiong Tang, et al.*2023 · 109 citations*
33. **[Cross-Domain Sentiment Classification with Target Domain Specific Information ↗](https://aclanthology.org/P18-1233/) Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Minlong Peng et al.*2018 · 109 citations*
34. **[Defense against Synonym Substitution-based Adversarial Attacks via Dirichlet Neighborhood Ensemble ↗](https://aclanthology.org/2021.acl-long.426/) 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 yet**Yi Zhou et al.*2021 · 105 citations*
35. **[Certified Robustness to Text Adversarial Attacks by Randomized MASK](https://md.research.elamur.ai/free/en/papers/zeng-2023-certified-robustness-text-adversarial-attacks/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Jiehang Zeng, Jianhan Xu, Xiaoqing Zheng, et al.*2023 · 101 citations*
36. **[A Knowledge-Aware Sequence-to-Tree Network for Math Word Problem Solving ↗](https://aclanthology.org/2020.emnlp-main.579/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Qinzhuo Wu et al.*2020 · 93 citations*
37. **[Automatic Essay Scoring Incorporating Rating Schema via Reinforcement Learning ↗](https://aclanthology.org/D18-1090/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Yucheng Wang et al.*2018 · 88 citations*
38. [**LLaMA Beyond English: An Empirical Study on Language Capability Transfer arXiv:2401.01055**Jun Zhao, Zhihao Zhang, Luhui Gao, et al.*2024 · 78 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2024-llama-english-empirical-study-language/)
39. **[Deep Fusion LSTMs for Text Semantic Matching ↗](https://aclanthology.org/P16-1098/) Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Pengfei Liu et al.*2016 · 77 citations*
40. **[Storytelling from an Image Stream Using Scene Graphs ↗](https://doi.org/10.1609/aaai.v34i05.6455) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Ruize Wang et al.*2020 · 70 citations*
41. **[Mask Attention Networks: Rethinking and Strengthen Transformer ↗](https://aclanthology.org/2021.naacl-main.135/) Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Zhihao Fan et al.*2021 · 69 citations*
42. [**Llama Scope: Extracting Millions of Features from Llama-3.1-8B with Sparse Autoencoders arXiv:2410.20526**Zhengfu He, Wentao Shu, Xuyang Ge, et al.*2024 · 63 citations*](https://md.research.elamur.ai/free/en/papers/he-2024-llama-scope-extracting-millions-features/)
43. **[Deep Multi-Task Learning with Shared Memory for Text Classification ↗](https://aclanthology.org/D16-1012/) Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yet**Pengfei Liu, Xipeng Qiu, Xuanjing Huang*2016 · 59 citations*
44. [**Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples**Xiaoqing Zheng, Jiehang Zeng, Yi Zhou, et al.*English · 54 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2020-evaluating-enhancing-robustness-neural-network/)
45. **[A Graph-based Model for Joint Chinese Word Segmentation and Dependency Parsing](https://md.research.elamur.ai/free/en/papers/yan-2020-graph-based-model-joint-chinese/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Hang Yan, Xipeng Qiu, Xuanjing Huang*2020 · 53 citations*
46. **[Unveiling Linguistic Regions in Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2024-unveiling-linguistic-regions-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhihao Zhang, Jun Zhao, Qi Zhang, et al.*2024 · 39 citations*
47. **[Aligning Large Language Models with Human Preferences through Representation Engineering](https://md.research.elamur.ai/free/en/papers/liu-2024-aligning-large-language-models-human/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenhao Liu, Xiaohua Wang, Muling Wu, et al.*2024 · 37 citations*
48. **[Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning ↗](https://arxiv.org/abs/2402.05808) arXiv:2402.05808 · no summary yet**Zhiheng Xi et al.*2024 · 36 citations*
49. **[ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios](https://md.research.elamur.ai/free/en/papers/ye-2025-tooleyes-fine-grained-evaluation-tool/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Junjie Ye, Guanyu Li, SongYang Gao, et al.*2025 · 35 citations*
50. **[AgentGym: Evolving Large Language Model-based Agents across Diverse Environments ↗](https://arxiv.org/abs/2406.04151) arXiv:2406.04151 · no summary yet**Zhiheng Xi et al.*2024 · 33 citations*
51. **[Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective ↗](https://arxiv.org/abs/2412.14135) arXiv:2412.14135 · no summary yet**Zhiyuan Zeng et al.*2024 · 33 citations*
52. **[VLSBench: Unveiling Visual Leakage in Multimodal Safety](https://md.research.elamur.ai/free/en/papers/hu-2025-vlsbench-unveiling-visual-leakage-multimodal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xuhao Hu, Dongrui Liu, Hao Li, et al.*2025 · 32 citations*
53. **[StepCoder: Improving Code Generation with Reinforcement Learning from Compiler Feedback ↗](https://aclanthology.org/2024.acl-long.251/) Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Shihan Dou et al.*2024 · 32 citations*
54. **[Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation](https://md.research.elamur.ai/free/en/papers/wang-2025-benchmark-self-evolving-multi-agent/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Siyuan Wang, Zhuohan Long, Zhihao Fan, et al.*2025 · 30 citations*
55. **[Align Voting Behavior with Public Statements for Legislator Representation Learning ↗](https://aclanthology.org/2021.acl-long.99/) 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 yet**Xinyi Mou et al.*2021 · 25 citations*
56. **[Multi-Agent Simulator Drives Language Models for Legal Intensive Interaction ↗](https://aclanthology.org/2025.findings-naacl.365/) Findings of the Association for Computational Linguistics: NAACL 2025 · no summary yet**Shengbin Yue et al.*2025 · 18 citations*
57. **[Revisiting Jailbreaking for Large Language Models: A Representation Engineering Perspective](https://md.research.elamur.ai/free/en/papers/li-2025-revisiting-jailbreaking-large-language-models/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Tianlong Li, Zhenghua Wang, Wenhao Liu, et al.*2025 · 17 citations*
58. **[Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric](https://md.research.elamur.ai/free/en/papers/yang-2025-measuring-data-diversity-instruction-tuning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuming Yang, Yang Nan, Junjie Ye, et al.*2025 · 11 citations*
59. **[Detecting Hedge Cues and their Scopes with Average Perceptron](https://md.research.elamur.ai/free/en/papers/ji-2010-detecting-hedge-cues-their-scopes/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Feng Ji, Xipeng Qiu, Xuanjing Huang*2010 · 7 citations*
60. **[Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build Environments](https://md.research.elamur.ai/free/en/papers/ye-2026-feedback-driven-tool-use-improvements/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Junjie Ye, Changhao Jiang, Zhengyin Du, et al.*2026 · 6 citations*
61. **[VIB-Probe: Detecting and Mitigating Hallucinations in Vision-Language Models via Variational Information Bottleneck](https://md.research.elamur.ai/free/en/papers/zhang-2026-vib-probe-detecting-mitigating-hallucinations/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Feiran Zhang, Yixin Wu, Zhenghua Wang, et al.*2026 · 3 citations*
62. **[ARISE: An Adaptive Resolution-Aware Metric for Test-Time Scaling Evaluation in Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/yin-2026-arise-adaptive-resolution-aware-metric/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhangyue Yin, Qiushi Sun, Zhiyuan Zeng, et al.*2026 · 1 citation*
63. **[Mitigating Hallucinations in VLMs: Enhancing Visual Attention via Head-Wise Perturbation](https://md.research.elamur.ai/free/en/papers/wang-2026-mitigating-hallucinations-vlms-enhancing-visual/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhenghua Wang, Yixin Wu, Feiran Zhang, et al.*2026*
64. **[Mitigating Position Bias in Transformers via Layer-Specific Positional Embedding Scaling](https://md.research.elamur.ai/free/en/papers/wang-2026-mitigating-position-bias-transformers-layer/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhenghua Wang, Yiran Ding, Changze Lv, et al.*2026*