---
title: "Wei Hong Xu — all works — Elamur Research"
description: "All 44 works of Wei Hong Xu 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/wei-hong-xu/works/"
---
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# Wei Hong Xu — all works

44 works · [← Wei Hong Xu](https://md.research.elamur.ai/free/en/authors/wei-hong-xu/)

1. [**Bidirectional LSTM-CRF Models for Sequence Tagging arXiv:1508.01991**Zhiheng Huang, Wei Xu, Kai Yu*2015 · 3,822 citations*](https://md.research.elamur.ai/free/en/papers/huang-2015-bidirectional-lstm-crf-models-sequence/)
2. **[CNN-RNN: A Unified Framework for Multi-label Image Classification ↗](https://doi.org/10.1109/cvpr.2016.251) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Jiang Wang et al.*2016 · 1,218 citations*
3. [**Optimizing Statistical Machine Translation for Text Simplification**Wei Xu, Courtney Napoles, Ellie Pavlick, et al.*Machine translation · 954 citations*](https://md.research.elamur.ai/free/en/papers/xu-2016-optimizing-statistical-machine-translation-text/)
4. **[Problems in Current Text Simplification Research: New Data Can Help](https://md.research.elamur.ai/free/en/papers/xu-2015-problems-current-text-simplification-research/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Wei Xu, Chris Callison-Burch, Courtney Napoles*2015 · 659 citations*
5. **[End-to-end learning of semantic role labeling using recurrent neural networks](https://md.research.elamur.ai/free/en/papers/zhou-2015-end-end-learning-semantic-role/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jie Zhou, Wei Xu*2015 · 466 citations*
6. **[The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics ↗](https://aclanthology.org/2021.gem-1.10/) Proceedings of the First Workshop on Natural Language Generation, Evaluation, and Metrics (GEM) · no summary yet**Sebastian Gehrmann et al.*2021 · 369 citations*
7. **[Shared Tasks of the 2015 Workshop on Noisy User-generated Text: Twitter Lexical Normalization and Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/baldwin-2015-shared-tasks-2015-workshop-noisy/) [Workshop on Noisy User-generated Text](https://md.research.elamur.ai/free/en/venues/wnut/)**Timothy Baldwin, Marie Catherine de Marneffe, Bo Han, et al.*2015 · 286 citations*
8. **[Having Beer after Prayer? Measuring Cultural Bias in Large Language Models](https://md.research.elamur.ai/free/en/papers/naous-2023-having-beer-after-prayer-measuring/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tarek Naous, Michael J. Ryan, Alan Ritter, et al.*2023 · 273 citations*
9. **[A Continuously Growing Dataset of Sentential Paraphrases](https://md.research.elamur.ai/free/en/papers/lan-2017-continuously-growing-dataset-sentential-paraphrases/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wuwei Lan, Siyu Qiu, Hua He, et al.*2017 · 267 citations*
10. **[Deep Recurrent Models with Fast-Forward Connections for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/zhou-2016-deep-recurrent-models-fast-forward/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jie Zhou, Ying Cao, Xuguang Wang, et al.*2016 · 265 citations*
11. **[Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction](https://md.research.elamur.ai/free/en/papers/zheng-2019-doc2edag-end-end-document-level/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Shun Zheng, Wei Cao, Wei Xu, et al.*2019 · 246 citations*
12. **[SemEval-2015 Task 1: Paraphrase and Semantic Similarity in Twitter (PIT)](https://md.research.elamur.ai/free/en/papers/xu-2015-semeval-2015-task-1-paraphrase/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Wei Xu, Chris Callison-Burch, Bill Dolan*2015 · 231 citations*
13. **[Neural CRF Model for Sentence Alignment in Text Simplification](https://md.research.elamur.ai/free/en/papers/jiang-2020-neural-crf-model-sentence-alignment/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chao Jiang, Mounica Maddela, Wuwei Lan, et al.*2020 · 227 citations*
14. [**Paraphrasing for Style**Wei Xu, Alan Ritter, Bill Dolan, et al.*Machine translation · 196 citations*](https://md.research.elamur.ai/free/en/papers/xu-2012-paraphrasing-style/)
15. **[Knowledge Conflicts for LLMs: A Survey](https://md.research.elamur.ai/free/en/papers/xu-2024-knowledge-conflicts-llms-survey/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Rongwu Xu, Zehan Qi, Zhijiang Guo, et al.*2024 · 182 citations*
16. **[CAMEL: A Weakly Supervised Learning Framework for Histopathology Image Segmentation ↗](https://doi.org/10.1109/iccv.2019.01078) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Gang Xu et al.*2019 · 182 citations*
17. **[Semi-Supervised Learning for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/cheng-2016-semi-supervised-learning-neural-machine/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yong Cheng, Wei Xu, Zhongjun He, et al.*2016 · 168 citations*
18. **[CFO: Conditional Focused Neural Question Answering with Large-scale Knowledge Bases ↗](https://aclanthology.org/P16-1076/) Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Zihang Dai, Lei Li, Wei Xu*2016 · 167 citations*
19. **[Extracting Lexically Divergent Paraphrases from Twitter ↗](https://aclanthology.org/Q14-1034/) Transactions of the Association for Computational Linguistics · no summary yet**Wei Xu et al.*2014 · 166 citations*
20. **[Controllable Text Simplification with Explicit Paraphrasing](https://md.research.elamur.ai/free/en/papers/maddela-2021-controllable-text-simplification-explicit-paraphrasing/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Mounica Maddela, Fernando Alva-Manchego, Wei Xu*2021 · 164 citations*
21. **[Neural Network Models for Paraphrase Identification, Semantic Textual Similarity, Natural Language Inference, and Question Answering ↗](https://aclanthology.org/C18-1328/) Proceedings of the 27th International Conference on Computational Linguistics · no summary yet**Wuwei Lan, Wei Xu*2018 · 143 citations*
22. **[Code and Named Entity Recognition in StackOverflow ↗](https://aclanthology.org/2020.acl-main.443/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Jeniya Tabassum et al.*2020 · 123 citations*
23. **[A Word-Complexity Lexicon and A Neural Readability Ranking Model for Lexical Simplification ↗](https://aclanthology.org/D18-1410/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Mounica Maddela, Wei Xu*2018 · 108 citations*
24. **[An Empirical Study of Pre-trained Transformers for Arabic Information Extraction](https://md.research.elamur.ai/free/en/papers/lan-2020-empirical-study-pre-trained-transformers/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wuwei Lan, Yang Chen, Wei Xu, et al.*2020 · 107 citations*
25. **[LENS: A Learnable Evaluation Metric for Text Simplification](https://md.research.elamur.ai/free/en/papers/maddela-2023-lens-learnable-evaluation-metric-text/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mounica Maddela, Yao Dou, David Heineman, et al.*2023 · 104 citations*
26. **[Having Beer after Prayer? Measuring Cultural Bias in Large Language Models](https://md.research.elamur.ai/free/en/papers/naous-2024-having-beer-after-prayer-measuring/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tarek Naous, Michael J Ryan, Alan Ritter, et al.*2024 · 95 citations*
27. **[Generalizing Natural Language Analysis through Span-relation Representations ↗](https://aclanthology.org/2020.acl-main.192/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Zhengbao Jiang et al.*2020 · 82 citations*
28. **[An Annotated Corpus for Machine Reading of Instructions in Wet Lab Protocols ↗](https://aclanthology.org/N18-2016/) Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers) · no summary yet**Chaitanya Kulkarni et al.*2018 · 81 citations*
29. **[Discourse Level Factors for Sentence Deletion in Text Simplification ↗](https://arxiv.org/abs/1911.10384) arXiv:1911.10384 · no summary yet**Yang Zhong et al.*2019 · 78 citations*
30. **[Revisiting non-English Text Simplification: A Unified Multilingual Benchmark ↗](https://aclanthology.org/2023.acl-long.269/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Michael J Ryan, Tarek Naous, Wei Xu*2023 · 62 citations*
31. **[Gathering and Generating Paraphrases from Twitter with Application to Normalization ↗](https://aclanthology.org/W13-2515/) Proceedings of the Sixth Workshop on Building and Using Comparable Corpora · no summary yet**Wei Xu, Alan Ritter, Ralph Grishman*2013 · 58 citations*
32. **[Multilingual Simplification of Medical Texts ↗](https://aclanthology.org/2023.emnlp-main.1037/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yet**Sebastian Joseph et al.*2023 · 45 citations*
33. **[Teaching the Pre-trained Model to Generate Simple Texts for Text Simplification ↗](https://aclanthology.org/2023.findings-acl.595/) Findings of the Association for Computational Linguistics: ACL 2023 · no summary yet**Renliang Sun, Wei Xu, Xiaojun Wan*2023 · 36 citations*
34. [**From Shakespeare to Twitter: What are Language Styles all about?**Wei Xu*Machine translation · 29 citations*](https://md.research.elamur.ai/free/en/papers/xu-2017-shakespeare-twitter-what-are-language/)
35. **[InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification ↗](https://aclanthology.org/2024.acl-long.234/) Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Jan Trienes et al.*2024 · 18 citations*
36. **[Improving Large-scale Paraphrase Acquisition and Generation ↗](https://aclanthology.org/2022.emnlp-main.631/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yet**Yao Dou, Chao Jiang, Wei Xu*2022 · 18 citations*
37. **[Stanceosaurus: Classifying Stance Towards Multicultural Misinformation](https://md.research.elamur.ai/free/en/papers/zheng-2022-stanceosaurus-classifying-stance-multicultural-misinformation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jonathan Zheng, Ashutosh Baheti, Tarek Naous, et al.*2022 · 16 citations*
38. **[On The Origin of Cultural Biases in Language Models: From Pre-training Data to Linguistic Phenomena](https://md.research.elamur.ai/free/en/papers/naous-2025-origin-cultural-biases-language-models/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Tarek Naous, Wei Xu*2025 · 15 citations*
39. **[WIKIBIAS: Detecting Multi-Span Subjective Biases in Language ↗](https://aclanthology.org/2021.findings-emnlp.155/) Findings of the Association for Computational Linguistics: EMNLP 2021 · no summary yet**Yang Zhong et al.*2021 · 14 citations*
40. **[A Dataset of Word-Complexity Judgements from Deaf and Hard-of-Hearing Adults for Text Simplification ↗](https://aclanthology.org/2022.tsar-1.11/) Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022) · no summary yet**Oliver Alonzo et al.*2022 · 10 citations*
41. **[DebateQA: Evaluating Question Answering on Debatable Knowledge](https://md.research.elamur.ai/free/en/papers/xu-2026-debateqa-evaluating-question-answering-debatable/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Rongwu Xu, Xuan Qi, Zehan Qi, et al.*2026 · 7 citations*
42. **[Faithfulness vs. Safety: Evaluating LLM Behavior Under Counterfactual Medical Evidence](https://md.research.elamur.ai/free/en/papers/mo-2026-faithfulness-vs-safety-evaluating-llm/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kaijie Mo, Siddhartha Venkatayogi, Chantal Shaib, et al.*2026*
43. **[GeoRC: A Benchmark for Geolocation Reasoning Chains](https://md.research.elamur.ai/free/en/papers/talreja-2026-georc-benchmark-geolocation-reasoning-chains/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mohit Talreja, Joshua Diao, Jim James, et al.*2026*
44. **[Squrve: A Unified and Modular Framework for Complex Real-World Text-to-SQL Tasks](https://md.research.elamur.ai/free/en/papers/wang-2026-squrve-unified-modular-framework-complex/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yihan Wang, Peiyu Liu, Runyu Chen, et al.*2026*