---
title: "Kai-Wei Chang — all works — Elamur Research"
description: "All 100 works of Kai-Wei Chang 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/kai-wei-chang/works/"
---
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# Kai-Wei Chang — all works

100 works · [← Kai-Wei Chang](https://md.research.elamur.ai/free/en/authors/kai-wei-chang/)

1. [**Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings arXiv:1607.06520**Tolga Bolukbasi, Kai-Wei Chang, James Zou, et al.*2016 · 2,079 citations*](https://md.research.elamur.ai/free/en/papers/bolukbasi-2016-man-computer-programmer-woman-homemaker/)
2. [**VisualBERT: A Simple and Performant Baseline for Vision and Language arXiv:1908.03557**Liunian Harold Li, Mark Yatskar, Da Yin, et al.*2019 · 1,568 citations*](https://md.research.elamur.ai/free/en/papers/li-2019-visualbert-simple-performant-baseline-vision/)
3. **[Grounded Language-Image Pre-training ↗](https://doi.org/10.1109/cvpr52688.2022.01069) 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**Liunian Harold Li et al.*2022 · 1,207 citations*
4. **[Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods](https://md.research.elamur.ai/free/en/papers/zhao-2018-gender-bias-coreference-resolution-evaluation/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Jieyu Zhao, Tianlu Wang, Mark Yatskar, et al.*2018 · 1,202 citations*
5. **[Generating Natural Language Adversarial Examples](https://md.research.elamur.ai/free/en/papers/alzantot-2018-generating-natural-language-adversarial-examples/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Moustafa Alzantot, Yash Sharma, Ahmed Elgohary, et al.*2018 · 1,111 citations*
6. **[Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints](https://md.research.elamur.ai/free/en/papers/zhao-2017-men-also-like-shopping-reducing/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jieyu Zhao, Tianlu Wang, Mark Yatskar, et al.*2017 · 1,050 citations*
7. **[Learn to Explain: Multimodal Reasoning Via Thought Chains for Science Question Answering ↗](https://doi.org/10.52202/068431-0182) neural information processing systems · no summary yet**Pan Lu et al.*2022 · 943 citations*
8. **[The Woman Worked as a Babysitter: On Biases in Language Generation](https://md.research.elamur.ai/free/en/papers/sheng-2019-woman-worked-as-babysitter-biases/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, et al.*2019 · 764 citations*
9. **[Unified Pre-training for Program Understanding and Generation](https://md.research.elamur.ai/free/en/papers/ahmad-2021-unified-pre-training-program-understanding/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Wasi Ahmad, Saikat Chakraborty, Baishakhi Ray, et al.*2021 · 750 citations*
10. **[Mitigating Gender Bias in Natural Language Processing: Literature Review](https://md.research.elamur.ai/free/en/papers/sun-2019-mitigating-gender-bias-natural-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tony Sun, Andrew Gaut, Shirlyn Tang, et al.*2019 · 724 citations*
11. **[Learning Gender-Neutral Word Embeddings](https://md.research.elamur.ai/free/en/papers/zhao-2018-learning-gender-neutral-word-embeddings/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jieyu Zhao, Yichao Zhou, Zeyu Li, et al.*2018 · 520 citations*
12. **[Gender Bias in Contextualized Word Embeddings](https://md.research.elamur.ai/free/en/papers/zhao-2019-gender-bias-contextualized-word-embeddings/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Jieyu Zhao, Tianlu Wang, Mark Yatskar, et al.*2019 · 508 citations*
13. [**MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts arXiv:2310.02255**Pan Lu, Hritik Bansal, Tony Xia, et al.*2023 · 468 citations*](https://md.research.elamur.ai/free/en/papers/lu-2023-mathvista-evaluating-mathematical-reasoning-foundation/)
14. **[A Transformer-based Approach for Source Code Summarization](https://md.research.elamur.ai/free/en/papers/ahmad-2020-transformer-based-approach-source-code/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wasi Ahmad, Saikat Chakraborty, Baishakhi Ray, et al.*2020 · 431 citations*
15. **[Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations ↗](https://doi.org/10.1109/iccv.2019.00541) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Tianlu Wang et al.*2019 · 393 citations*
16. **[Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models](https://md.research.elamur.ai/free/en/papers/lu-2023-chameleon-plug-play-compositional-reasoning/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Pan Lu, Baolin Peng, Hao Cheng, et al.*2023 · 327 citations*
17. **[Societal Biases in Language Generation: Progress and Challenges](https://md.research.elamur.ai/free/en/papers/sheng-2021-societal-biases-language-generation-progress/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Emily Sheng, Kai-Wei Chang, Prem Natarajan, et al.*2021 · 257 citations*
18. **[MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?](https://md.research.elamur.ai/free/en/papers/zhang-2024-mathverse-multi-modal-llm-truly/) [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/)**Renrui Zhang, Dongzhi Jiang, Yichi Zhang, et al.*2024 · 232 citations*
19. **[Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies](https://md.research.elamur.ai/free/en/papers/dev-2021-harms-gender-exclusivity-challenges-non/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Sunipa Dev, Masoud Monajatipoor, Anaelia Ovalle, et al.*2021 · 230 citations*
20. **[DEGREE: A Data-Efficient Generation-Based Event Extraction Model](https://md.research.elamur.ai/free/en/papers/hsu-2022-degree-data-efficient-generation-based/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**I-Hung Hsu, Kuan-Hao Huang, Elizabeth Boschee, et al.*2022 · 227 citations*
21. **[How Much Can CLIP Benefit Vision-and-Language Tasks? ↗](https://arxiv.org/abs/2107.06383) arXiv (Cornell University) · no summary yet**Sheng Shen et al.*2021 · 220 citations*
22. [**Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning arXiv:2209.14610**Pan Lu, Liang Qiu, Kai-Wei Chang, et al.*2022 · 219 citations*](https://md.research.elamur.ai/free/en/papers/lu-2022-dynamic-prompt-learning-policy-gradient/)
23. **[“Kelly is a Warm Person, Joseph is a Role Model”: Gender Biases in LLM-Generated Reference Letters](https://md.research.elamur.ai/free/en/papers/wan-2023-kelly-is-warm-person-joseph/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yixin Wan, George Pu, Jiao Sun, et al.*2023 · 208 citations*
24. **[Retrieval Augmented Code Generation and Summarization](https://md.research.elamur.ai/free/en/papers/parvez-2021-retrieval-augmented-code-generation-summarization/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Md Rizwan Parvez, Wasi Ahmad, Saikat Chakraborty, et al.*2021 · 193 citations*
25. **[Towards Controllable Biases in Language Generation](https://md.research.elamur.ai/free/en/papers/sheng-2020-controllable-biases-language-generation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Emily Sheng, Kai-Wei Chang, Prem Natarajan, et al.*2020 · 171 citations*
26. **[What Does BERT with Vision Look At? ↗](https://aclanthology.org/2020.acl-main.469/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Liunian Harold Li et al.*2020 · 171 citations*
27. **["Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference Letters ↗](https://arxiv.org/abs/2310.09219) arXiv:2310.09219 · no summary yet**Yixin Wan et al.*2023 · 170 citations*
28. **[SentiBERT: A Transferable Transformer-Based Architecture for Compositional Sentiment Semantics ↗](https://aclanthology.org/2020.acl-main.341/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Da Yin, Tao Meng, Kai-Wei Chang*2020 · 158 citations*
29. **[Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification ↗](https://aclanthology.org/D19-1496/) 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**Yichao Zhou et al.*2019 · 151 citations*
30. **[A Survey of Deep Learning for Mathematical Reasoning ↗](https://aclanthology.org/2023.acl-long.817/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Pan Lu et al.*2023 · 149 citations*
31. **[Symbolic Chain-of-Thought Distillation: Small Models Can Also “Think” Step-by-Step](https://md.research.elamur.ai/free/en/papers/li-2023-symbolic-chain-thought-distillation-small/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Liunian Harold Li, Jack Hessel, Youngjae Yu, et al.*2023 · 140 citations*
32. **[Examining Gender Bias in Languages with Grammatical Gender ↗](https://aclanthology.org/D19-1531/) 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**Pei Zhou et al.*2019 · 127 citations*
33. **[Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer ↗](https://aclanthology.org/2020.acl-main.260/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Jieyu Zhao et al.*2020 · 115 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. **[On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations](https://md.research.elamur.ai/free/en/papers/cao-2022-intrinsic-extrinsic-fairness-evaluation-metrics/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yang Trista Cao, Yada Pruksachatkun, Kai-Wei Chang, et al.*2022 · 100 citations*
36. **[Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs ↗](https://aclanthology.org/2021.eacl-main.88/) Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume · no summary yet**Kuan-Hao Huang, Kai-Wei Chang*2021 · 99 citations*
37. [**LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory arXiv:2410.10813**Di Wu, Hongwei Wang, Wenhao Yu, et al.*2024 · 95 citations*](https://md.research.elamur.ai/free/en/papers/wu-2024-longmemeval-benchmarking-chat-assistants-long/)
38. **[Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction ↗](https://aclanthology.org/2022.acl-long.317/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Kuan-Hao Huang et al.*2022 · 94 citations*
39. **[The Illinois-Columbia System in the CoNLL-2014 Shared Task](https://md.research.elamur.ai/free/en/papers/rozovskaya-2014-illinois-columbia-system-conll-2014/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Alla Rozovskaya, Kai-Wei Chang, Mark Sammons, et al.*2014 · 94 citations*
40. **[On Difficulties of Cross-Lingual Transfer with Order Differences: A Case Study on Dependency Parsing ↗](https://arxiv.org/abs/1811.00570) arXiv:1811.00570 · no summary yet**Wasi Uddin Ahmad et al.*2018 · 87 citations*
41. **[The University of Illinois System in the CoNLL-2013 Shared Task ↗](https://aclanthology.org/W13-3602/) Proceedings of the Seventeenth Conference on Computational Natural Language Learning: Shared Task · no summary yet**Alla Rozovskaya et al.*2013 · 87 citations*
42. **[On Prompt-Driven Safeguarding for Large Language Models ↗](https://arxiv.org/abs/2401.18018) arXiv:2401.18018 · no summary yet**Chujie Zheng et al.*2024 · 85 citations*
43. **[How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions? ↗](https://aclanthology.org/2022.emnlp-main.88/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yet**Hritik Bansal et al.*2022 · 83 citations*
44. **[PolicyQA: A Reading Comprehension Dataset for Privacy Policies ↗](https://aclanthology.org/2020.findings-emnlp.66/) Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yet**Wasi Ahmad et al.*2020 · 81 citations*
45. **[A Constrained Latent Variable Model for Coreference Resolution](https://md.research.elamur.ai/free/en/papers/chang-2013-constrained-latent-variable-model-coreference/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Kai-Wei Chang, Rajhans Samdani, Dan Roth*2013 · 81 citations*
46. **[Few-Shot Representation Learning for Out-Of-Vocabulary Words ↗](https://aclanthology.org/P19-1402/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Ziniu Hu et al.*2019 · 80 citations*
47. **[“I’m fully who I am”: Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation ↗](https://doi.org/10.1145/3593013.3594078) ACM Conference on Fairness, Accountability, and Transparency (FAccT) · no summary yet**Anaelia Ovalle et al.*2023 · 79 citations*
48. **[A Joint Framework for Coreference Resolution and Mention Head Detection](https://md.research.elamur.ai/free/en/papers/peng-2015-joint-framework-coreference-resolution-mention/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Haoruo Peng, Kai-Wei Chang, Dan Roth*2015 · 75 citations*
49. **[Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue](https://md.research.elamur.ai/free/en/papers/gu-2024-model-editing-harms-general-abilities/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jia-Chen Gu, Hao-Xiang Xu, Jun-Yu Ma, et al.*2024 · 67 citations*
50. **[Red Teaming Language Model Detectors with Language Models](https://md.research.elamur.ai/free/en/papers/shi-2024-red-teaming-language-model-detectors/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Zhouxing Shi, Yihan Wang, Fan Yin, et al.*2024 · 62 citations*
51. **[Efficient Pattern-Based Time Series Classification on GPU ↗](https://doi.org/10.1109/icdm.2012.132) Proceedings · no summary yet**Kai-Wei Chang et al.*2012 · 55 citations*
52. **[Inference Protocols for Coreference Resolution](https://md.research.elamur.ai/free/en/papers/chang-2011-inference-protocols-coreference-resolution/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Kai-Wei Chang, Rajhans Samdani, Alla Rozovskaya, et al.*2011 · 50 citations*
53. **[Agent Lumos: Unified and Modular Training for Open-Source Language Agents ↗](https://arxiv.org/abs/2311.05657) arXiv:2311.05657 · no summary yet**Da Yin et al.*2023 · 49 citations*
54. **[FLIRT: Feedback Loop In-context Red Teaming](https://md.research.elamur.ai/free/en/papers/mehrabi-2024-flirt-feedback-loop-context-red/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ninareh Mehrabi, Palash Goyal, Christophe Dupuy, et al.*2024 · 42 citations*
55. **[Syntax-augmented Multilingual BERT for Cross-lingual Transfer](https://md.research.elamur.ai/free/en/papers/ahmad-2021-syntax-augmented-multilingual-bert-cross/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wasi Ahmad, Haoran Li, Kai-Wei Chang, et al.*2021 · 42 citations*
56. **[Intent Classification and Slot Filling for Privacy Policies ↗](https://aclanthology.org/2021.acl-long.340/) 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**Wasi Ahmad et al.*2021 · 38 citations*
57. **[Selective block minimization for faster convergence of limited memory large-scale linear models ↗](https://doi.org/10.1145/2020408.2020517) ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · no summary yet**Kai-Wei Chang, Dan Roth*2011 · 33 citations*
58. **[Retrofitting Contextualized Word Embeddings with Paraphrases ↗](https://aclanthology.org/D19-1113/) 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**Weijia Shi et al.*2019 · 30 citations*
59. **[Illinois-Coref: The UI System in the CoNLL-2012 Shared Task ↗](https://aclanthology.org/W12-4513/) Joint Conference on EMNLP and CoNLL - Shared Task · no summary yet**Kai-Wei Chang et al.*2012 · 26 citations*
60. [**ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation**Kuan-Hao Huang, Varun Iyer, I-Hung Hsu, et al.*Machine translation · 24 citations*](https://md.research.elamur.ai/free/en/papers/huang-2023-paraamr-large-scale-syntactically-diverse/)
61. **[The steerability of large language models toward data-driven personas ↗](https://aclanthology.org/2024.naacl-long.405/) Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yet**Junyi Li et al.*2024 · 20 citations*
62. **[Multi-core Structural SVM Training ↗](https://doi.org/10.1007/978-3-642-40991-2_26) Lecture notes in computer science · no summary yet**Kai-Wei Chang, Vivek Srikumar, Dan Roth*2013 · 19 citations*
63. **[On the steerability of large language models toward data-driven personas ↗](https://arxiv.org/abs/2311.04978) arXiv (Cornell University) · no summary yet**Junyi Li et al.*2023 · 18 citations*
64. **[Tokenization Matters: Navigating Data-Scarce Tokenization for Gender Inclusive Language Technologies ↗](https://aclanthology.org/2024.findings-naacl.113/) Findings of the Association for Computational Linguistics: NAACL 2024 · no summary yet**Anaelia Ovalle et al.*2024 · 17 citations*
65. **[Resolving Ambiguities in Text-to-Image Generative Models ↗](https://aclanthology.org/2023.acl-long.804/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Ninareh Mehrabi et al.*2023 · 16 citations*
66. **[METAL: A Multi-Agent Framework for Chart Generation with Test-Time Scaling](https://md.research.elamur.ai/free/en/papers/li-2025-metal-multi-agent-framework-chart/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bingxuan Li, Yiwei Wang, Jiuxiang Gu, et al.*2025 · 15 citations*
67. **[Retrieval Enhanced Data Augmentation for Question Answering on Privacy Policies ↗](https://aclanthology.org/2023.eacl-main.16/) Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics · no summary yet**Md Rizwan Parvez et al.*2023 · 15 citations*
68. [**Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations**Kuan-Hao Huang, Varun Iyer, Anoop Kumar, et al.*Machine translation · 15 citations*](https://md.research.elamur.ai/free/en/papers/huang-2022-unsupervised-syntactically-controlled-paraphrase-generation/)
69. **[IllinoisSL: A JAVA Library for Structured Prediction ↗](https://arxiv.org/abs/1509.07179) arXiv (Cornell University) · no summary yet**Kai-Wei Chang et al.*2015 · 15 citations*
70. [**When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM Reasoning arXiv:2504.01005**Nishad Singhi, Hritik Bansal, Arian Hosseini, et al.*2025 · 12 citations*](https://md.research.elamur.ai/free/en/papers/singhi-2025-solve-verify-compute-optimal-problem/)
71. **[PLUE: Language Understanding Evaluation Benchmark for Privacy Policies in English](https://md.research.elamur.ai/free/en/papers/chi-2023-plue-language-understanding-evaluation-benchmark/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jianfeng Chi, Wasi Uddin Ahmad, Yuan Tian, et al.*2023 · 12 citations*
72. **[PIP: Parse-Instructed Prefix for Syntactically Controlled Paraphrase Generation ↗](https://aclanthology.org/2023.findings-acl.659/) Findings of the Association for Computational Linguistics: ACL 2023 · no summary yet**Yixin Wan, Kuan-Hao Huang, Kai-Wei Chang*2023 · 10 citations*
73. **[Using Item Response Theory to Measure Gender and Racial Bias of a BERT-based Automated English Speech Assessment System](https://md.research.elamur.ai/free/en/papers/kwako-2022-item-response-theory-measure-gender/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Alexander Kwako, Yixin Wan, Jieyu Zhao, et al.*2022 · 10 citations*
74. **[Structural Learning with Amortized Inference ↗](https://doi.org/10.1609/aaai.v29i1.9535) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Kai-Wei Chang et al.*2015 · 9 citations*
75. **[The Root Shapes the Fruit: On the Persistence of Gender-Exclusive Harms in Aligned Language Models ↗](https://doi.org/10.1145/3715275.3732196) ACM Conference on Fairness, Accountability, and Transparency (FAccT) · no summary yet**Anaelia Ovalle et al.*2025 · 8 citations*
76. **[Does BERT Exacerbate Gender or L1 Biases in Automated English Speaking Assessment?](https://md.research.elamur.ai/free/en/papers/kwako-2023-does-bert-exacerbate-gender-or/) [Workshop on Innovative Use of NLP for Building Educational Applications (BEA)](https://md.research.elamur.ai/free/en/venues/bea/)**Alexander Kwako, Yixin Wan, Jieyu Zhao, et al.*2023 · 8 citations*
77. **[QUDSELECT: Selective Decoding for Questions Under Discussion Parsing](https://md.research.elamur.ai/free/en/papers/suvarna-2024-qudselect-selective-decoding-questions-under/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ashima Suvarna, Xiao Liu, Tanmay Parekh, et al.*2024 · 7 citations*
78. **[Indirectly Supervised Natural Language Processing ↗](https://aclanthology.org/2023.acl-tutorials.5/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 6: Tutorial Abstracts) · no summary yet**Wenpeng Yin et al.*2023 · 7 citations*
79. **[A Discriminative Latent Variable Model for Online Clustering ↗](https://openalex.org/W2134860178) International Conference on Machine Learning · no summary yet**Rajhans Samdani, Kai-Wei Chang, Dan Roth*2014 · 7 citations*
80. **[The Hard Positive Truth About Vision-Language Compositionality ↗](https://doi.org/10.1007/978-3-031-72630-9_3) Lecture notes in computer science · no summary yet**Amita Kamath et al.*2024 · 6 citations*
81. **[Illinois Cognitive Computation Group UI-CCG TAC 2013 Entity Linking and Slot Filler Validation Systems ↗](https://openalex.org/W2183255880) Theory and applications of categories · no summary yet**Cheng Xiao et al.*2013 · 6 citations*
82. **[Vulnerability of LLMs to Vertically Aligned Text Manipulations](https://md.research.elamur.ai/free/en/papers/li-2025-vulnerability-llms-vertically-aligned-text/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhecheng Li, Yiwei Wang, Bryan Hooi, et al.*2025 · 5 citations*
83. **[Distributed Training of Structured SVM ↗](https://arxiv.org/abs/1506.02620) arXiv (Cornell University) · no summary yet**Ching-pei Lee et al.*2015 · 5 citations*
84. **[BILLY: Steering Large Language Models via Merging Persona Vectors for Creative Generation](https://md.research.elamur.ai/free/en/papers/pai-2026-billy-steering-large-language-models/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Tsung-Min Pai, Jui-I Wang, Li-Chun Lu, et al.*2026 · 4 citations*
85. **[BLUR: A Bi-Level Optimization Approach for LLM Unlearning](https://md.research.elamur.ai/free/en/papers/reisizadeh-2026-blur-bi-level-optimization-approach/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Hadi Reisizadeh, Jinghan Jia, Zhiqi Bu, et al.*2026 · 4 citations*
86. **[JAB: Joint Adversarial Prompting and Belief Augmentation ↗](https://arxiv.org/abs/2311.09473) arXiv (Cornell University) · no summary yet**Ninareh Mehrabi et al.*2023 · 4 citations*
87. **[Scale Can't Overcome Pragmatics: The Impact of Reporting Bias on Vision-Language Reasoning ↗](https://aclanthology.org/2026.tacl-1.41/) Transactions of the Association for Computational Linguistics · no summary yet**Amita Kamath et al.*2026 · 3 citations*
88. [**DialectGen: Benchmarking and Improving Dialect Robustness in Multimodal Generation arXiv:2510.14949**Yu Zhou, Sohyun An, Haikang Deng, et al.*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2025-dialectgen-benchmarking-improving-dialect-robustness/)
89. **[Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification ↗](https://aclanthology.org/2024.findings-emnlp.779/) Findings of the Association for Computational Linguistics: EMNLP 2024 · no summary yet**Tao Meng et al.*2024 · 3 citations*
90. **[Towards Safety Reasoning in LLMs: AI-agentic Deliberation for Policy-embedded CoT Data Creation ↗](https://aclanthology.org/2025.findings-acl.1166/) Findings of the Association for Computational Linguistics: ACL 2025 · no summary yet**Tharindu Kumarage et al.*2025 · 2 citations*
91. **[VisRet: Visualization Improves Knowledge-Intensive Text-to-Image Retrieval](https://md.research.elamur.ai/free/en/papers/wu-2026-visret-visualization-improves-knowledge-intensive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Di Wu, Yixin Wan, Kai-Wei Chang*2026 · 1 citation*
92. [**Reinforcing Stereotypes of Anger: Emotion AI on African American Vernacular English arXiv:2511.10846**Rebecca Dorn, Christina Chance, Casandra Rusti, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/dorn-2025-reinforcing-stereotypes-anger-emotion-ai/)
93. **[AutoSUIT Bench - Automated Security UnIt Test Benchmark for LLM Coding](https://md.research.elamur.ai/free/en/papers/osebe-2026-autosuit-bench-automated-security-unit/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Samuel Osebe, Fan Yang, Junyi Li, et al.*2026*
94. **[From Narrow Unlearning to Emergent Misalignment in LLMs](https://md.research.elamur.ai/free/en/papers/mushtaq-2026-narrow-unlearning-emergent-misalignment-llms/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Erum Mushtaq, Anil Ramakrishna, Satyapriya Krishna, et al.*2026*
95. **[InsideOut: Measuring and Mitigating Insider–Outsider Bias in Interview Script Generation](https://md.research.elamur.ai/free/en/papers/wan-2026-insideout-measuring-mitigating-insider-outsider/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yixin Wan, Xingrun Chen, Kai-Wei Chang*2026*
96. **[SWAN: Semantic Watermarking with Abstract Meaning Representation](https://md.research.elamur.ai/free/en/papers/ye-2026-swan-semantic-watermarking-abstract-meaning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ziping Ye, Gourab Dey, Christos Christodoulopoulos, et al.*2026*
97. **[Inference-Time Control for Trustworthy Large Language Models ↗](https://doi.org/10.20944/preprints202605.1041.v1) Preprints.org · no summary yet**Yuyang Bai et al.*2026*
98. **[Open-Domain Safety Policy Construction ↗](https://aclanthology.org/2026.findings-eacl.262/) Findings of the Association for Computational Linguistics: EACL 2026 · no summary yet**Di Wu et al.*2026*
99. **[Incorporating Fairness in Large Scale NLU Systems ↗](https://doi.org/10.1145/3539597.3575785) no summary yet**Rahul Gupta et al.*2023*
100. **[A Discriminative Latent Variable Model for Clustering of Streaming Data with Application to Coreference Resolution ↗](https://openalex.org/W2187222399) no summary yet**Rajhans Samdani, Kai-Wei Chang, Dan Roth*2013*