---
title: "Diyi Yang — all works — Elamur Research"
description: "All 311 works of Diyi Yang 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/diyi-yang/works/"
---
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# Diyi Yang — all works

311 works · page 1 of 4 · 1–100 · [← Diyi Yang](https://md.research.elamur.ai/free/en/authors/diyi-yang/)

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1. **[Hierarchical Attention Networks for Document Classification](https://md.research.elamur.ai/free/en/papers/yang-2016-hierarchical-attention-networks-document-classification/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Zichao Yang, Diyi Yang, Chris Dyer, et al.*2016 · 5,436 citations*
2. **[Is ChatGPT a General-Purpose Natural Language Processing Task Solver?](https://md.research.elamur.ai/free/en/papers/qin-2023-chatgpt-general-purpose-natural-language/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Chengwei Qin, Aston Zhang, Zhuosheng Zhang, et al.*2023 · 828 citations*
3. **[Can Large Language Models Transform Computational Social Science?](https://md.research.elamur.ai/free/en/papers/ziems-2023-large-language-models-transform-computational/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Caleb Ziems, William Held, Omar Shaikh, et al.*2023 · 790 citations*
4. **[ToTTo: A Controlled Table-To-Text Generation Dataset](https://md.research.elamur.ai/free/en/papers/parikh-2020-totto-controlled-table-text-generation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ankur Parikh, Xuezhi Wang, Sebastian Gehrmann, et al.*2020 · 482 citations*
5. **[MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification](https://md.research.elamur.ai/free/en/papers/chen-2020-mixtext-linguistically-informed-interpolation-hidden/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiaao Chen, Zichao Yang, Diyi Yang*2020 · 417 citations*
6. **[That's So Annoying!!!: A Lexical and Frame-Semantic Embedding Based Data Augmentation Approach to Automatic Categorization of Annoying Behaviors using #petpeeve Tweets](https://md.research.elamur.ai/free/en/papers/wang-2015-that-s-so-annoying-lexical/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**William Yang Wang, Diyi Yang*2015 · 397 citations*
7. **[Using large language models in psychology ↗](https://doi.org/10.1038/s44159-023-00241-5) Nature Reviews Psychology · no summary yet**Dorottya Demszky et al.*2023 · 389 citations*
8. **[Latent Hatred: A Benchmark for Understanding Implicit Hate Speech](https://md.research.elamur.ai/free/en/papers/elsherief-2021-latent-hatred-benchmark-understanding-implicit/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Mai ElSherief, Caleb Ziems, David Muchlinski, et al.*2021 · 367 citations*
9. **[Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond ↗](https://arxiv.org/abs/2109.00725) arXiv:2109.00725 · no summary yet**Amir Feder et al.*2021 · 309 citations*
10. **[Sentiment Analysis in MOOC Discussion Forums: What does it tell us? ↗](https://openalex.org/W2574248532) no summary yet**Miaomiao Wen, Diyi Yang, Carolyn Penstein Rosé*2014 · 283 citations*
11. **[Humor Recognition and Humor Anchor Extraction](https://md.research.elamur.ai/free/en/papers/yang-2015-humor-recognition-humor-anchor-extraction/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Diyi Yang, Alon Lavie, Chris Dyer, et al.*2015 · 265 citations*
12. **[An Empirical Survey of Data Augmentation for Limited Data Learning in NLP](https://md.research.elamur.ai/free/en/papers/chen-2023-empirical-survey-data-augmentation-limited/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jiaao Chen, Derek Tam, Colin Raffel, et al.*2023 · 254 citations*
13. **[Automatically Neutralizing Subjective Bias in Text ↗](https://doi.org/10.1609/aaai.v34i01.5385) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Reid Pryzant et al.*2020 · 241 citations*
14. **[The Importance of Modeling Social Factors of Language: Theory and Practice](https://md.research.elamur.ai/free/en/papers/hovy-2021-importance-modeling-social-factors-language/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Dirk Hovy, Diyi Yang*2021 · 238 citations*
15. **[Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue Summarization](https://md.research.elamur.ai/free/en/papers/chen-2020-multi-view-sequence-sequence-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiaao Chen, Diyi Yang*2020 · 204 citations*
16. **[How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs](https://md.research.elamur.ai/free/en/papers/zeng-2024-how-johnny-can-persuade-llms/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yi Zeng, Hongpeng Lin, Jingwen Zhang, et al.*2024 · 202 citations*
17. [**Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers arXiv:2409.04109**Chenglei Si, Diyi Yang, Tatsunori Hashimoto*2024 · 196 citations*](https://md.research.elamur.ai/free/en/papers/si-2024-llms-generate-novel-research/)
18. **[How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs](https://md.research.elamur.ai/free/en/papers/zeng-2024-johnny-persuade-llms-jailbreak-them/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yi Zeng, Hongpeng Lin, Jingwen Zhang, et al.*2024 · 192 citations*
19. **[On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning](https://md.research.elamur.ai/free/en/papers/shaikh-2023-second-thought-let-s-not/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Omar Shaikh, Hongxin Zhang, William Held, et al.*2023 · 192 citations*
20. **[Evaluating the Effectiveness of Deplatforming as a Moderation Strategy on Twitter ↗](https://doi.org/10.1145/3479525) Proceedings of the ACM on Human-Computer Interaction · no summary yet**Shagun Jhaver et al.*2021 · 168 citations*
21. **[Measure and Improve Robustness in NLP Models: A Survey](https://md.research.elamur.ai/free/en/papers/wang-2022-measure-improve-robustness-nlp-models/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Xuezhi Wang, Haohan Wang, Diyi Yang*2022 · 148 citations*
22. **[Social factors that contribute to attrition in MOOCs ↗](https://doi.org/10.1145/2556325.2567879) no summary yet**Carolyn Penstein Rosé et al.*2014 · 147 citations*
23. **[How Climate Movement Actors and News Media Frame Climate Change and Strike: Evidence from Analyzing Twitter and News Media Discourse from 2018 to 2021 ↗](https://doi.org/10.1177/19401612221106405) The International Journal of Press/Politics · no summary yet**Kaiping Chen et al.*2022 · 140 citations*
24. [**Fantastic Questions and Where to Find Them: FairytaleQA – An Authentic Dataset for Narrative Comprehension**Ying Xu, Dakuo Wang, Mo Yu, et al.*Mova's core list · 137 citations*](https://md.research.elamur.ai/free/en/papers/xu-2022-fantastic-questions-where-find-them/)
25. **[Structure-Aware Abstractive Conversation Summarization via Discourse and Action Graphs](https://md.research.elamur.ai/free/en/papers/chen-2021-structure-aware-abstractive-conversation-summarization/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Jiaao Chen, Diyi Yang*2021 · 135 citations*
26. **[The Channel Matters ↗](https://doi.org/10.1145/3290605.3300261) CHI Conference on Human Factors in Computing Systems · no summary yet**Diyi Yang et al.*2019 · 129 citations*
27. **[Unlearn What You Want to Forget: Efficient Unlearning for LLMs](https://md.research.elamur.ai/free/en/papers/chen-2023-unlearn-what-you-want-forget/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiaao Chen, Diyi Yang*2023 · 124 citations*
28. **[The Moral Integrity Corpus: A Benchmark for Ethical Dialogue Systems](https://md.research.elamur.ai/free/en/papers/ziems-2022-moral-integrity-corpus-benchmark-ethical/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Caleb Ziems, Jane A. Yu, Yi-Chia Wang, et al.*2022 · 122 citations*
29. **[Graph Vulnerability and Robustness: A Survey ↗](https://doi.org/10.1109/tkde.2022.3163672) IEEE Transactions on Knowledge and Data Engineering · no summary yet**Scott Freitas et al.*2022 · 122 citations*
30. [**Best Practices and Lessons Learned on Synthetic Data arXiv:2404.07503**Ruibo Liu, Jerry Wei, Fangyu Liu, et al.*2024 · 119 citations*](https://md.research.elamur.ai/free/en/papers/liu-2024-best-practices-lessons-learned-synthetic/)
31. **[Exploring the Effect of Confusion in Discussion Forums of Massive Open Online Courses ↗](https://doi.org/10.1145/2724660.2724677) ACM Conference on Learning @ Scale (L@S) · no summary yet**Diyi Yang et al.*2015 · 115 citations*
32. [**A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration arXiv:2310.02170**Zijun Liu, Yanzhe Zhang, Peng Li, et al.*2023 · 114 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-dynamic-llm-powered-agent-network/)
33. **[Racism is a virus ↗](https://doi.org/10.1145/3487351.3488324) IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) · no summary yet**Bing He et al.*2021 · 112 citations*
34. [**Benchmarking Machine Translation with Cultural Awareness arXiv:2305.14328**Binwei Yao, Ming Jiang, Tara Bobinac, et al.*2023 · 110 citations*](https://md.research.elamur.ai/free/en/papers/yao-2023-benchmarking-machine-translation-cultural-awareness/)
35. **[Continual Learning for Text Classification with Information Disentanglement Based Regularization ↗](https://aclanthology.org/2021.naacl-main.218/) Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Yufan Huang et al.*2021 · 110 citations*
36. **[Identifying Semantic Edit Intentions from Revisions in Wikipedia ↗](https://aclanthology.org/D17-1213/) Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yet**Diyi Yang et al.*2017 · 110 citations*
37. **[Investigating How Student's Cognitive Behavior in MOOC Discussion Forums Affect Learning Gains. ↗](https://openalex.org/W2572363809) Educational Data Mining · no summary yet**Xu Wang et al.*2015 · 108 citations*
38. **[Seekers, Providers, Welcomers, and Storytellers ↗](https://doi.org/10.1145/3290605.3300574) CHI Conference on Human Factors in Computing Systems · no summary yet**Diyi Yang et al.*2019 · 106 citations*
39. **[CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation](https://md.research.elamur.ai/free/en/papers/li-2023-coannotating-uncertainty-guided-work-allocation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Minzhi Li, Taiwei Shi, Caleb Ziems, et al.*2023 · 101 citations*
40. [**LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding arXiv:2306.17107**Yanzhe Zhang, Ruiyi Zhang, Jiuxiang Gu, et al.*2023 · 98 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-llavar-enhanced-visual-instruction-tuning/)
41. **[Let's Make Your Request More Persuasive: Modeling Persuasive Strategies via Semi-Supervised Neural Nets on Crowdfunding Platforms ↗](https://aclanthology.org/N19-1364/) Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yet**Diyi Yang et al.*2019 · 95 citations*
42. **[Rehearsal: Simulating Conflict to Teach Conflict Resolution ↗](https://doi.org/10.1145/3613904.3642159) CHI Conference on Human Factors in Computing Systems · no summary yet**Omar Shaikh et al.*2024 · 94 citations*
43. [**Training Socially Aligned Language Models on Simulated Social Interactions arXiv:2305.16960**Ruibo Liu, Ruixin Yang, Chenyan Jia, et al.*2023 · 94 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-training-socially-aligned-language-models/)
44. **[CultureBank: An Online Community-Driven Knowledge Base Towards Culturally Aware Language Technologies](https://md.research.elamur.ai/free/en/papers/shi-2024-culturebank-online-community-driven-knowledge/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Weiyan Shi, Ryan Li, Yutong Zhang, et al.*2024 · 93 citations*
45. **[Incorporating Word Correlation Knowledge into Topic Modeling ↗](https://aclanthology.org/N15-1074/) Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Pengtao Xie, Diyi Yang, Eric Xing*2015 · 93 citations*
46. **[Roleplay-doh: Enabling Domain-Experts to Create LLM-simulated Patients via Eliciting and Adhering to Principles](https://md.research.elamur.ai/free/en/papers/louie-2024-roleplay-doh-enabling-domain-experts/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Ryan Louie, Ananjan Nandi, William Fang, et al.*2024 · 90 citations*
47. [**Mapping the Increasing Use of LLMs in Scientific Papers arXiv:2404.01268**Weixin Liang, Yaohui Zhang, Zhengxuan Wu, et al.*2024 · 89 citations*](https://md.research.elamur.ai/free/en/papers/liang-2024-mapping-increasing-use-llms/)
48. **[When FLUE Meets FLANG: Benchmarks and Large Pretrained Language Model for Financial Domain ↗](https://aclanthology.org/2022.emnlp-main.148/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yet**Raj Shah et al.*2022 · 89 citations*
49. **[Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models ↗](https://aclanthology.org/2022.findings-naacl.130/) Findings of the Association for Computational Linguistics: NAACL 2022 · no summary yet**Tianlu Wang et al.*2022 · 88 citations*
50. **[CoMPosT: Characterizing and Evaluating Caricature in LLM Simulations ↗](https://aclanthology.org/2023.emnlp-main.669/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yet**Myra Cheng, Tiziano Piccardi, Diyi Yang*2023 · 86 citations*
51. **[Quantifying large language model usage in scientific papers ↗](https://doi.org/10.1038/s41562-025-02273-8) Nature Human Behaviour · no summary yet**Weixin Liang et al.*2025 · 81 citations*
52. **[Identifying and Mitigating the Security Risks of Generative AI ↗](https://doi.org/10.1561/3300000041) Foundations and Trends® in Privacy and Security · no summary yet**Clark Barrett et al.*2023 · 79 citations*
53. **[Forum Thread Recommendation for Massive Open Online Courses ↗](https://openalex.org/W2578600733) no summary yet**Diyi Yang et al.*2014 · 79 citations*
54. [**Multi-VALUE: A Framework for Cross-Dialectal English NLP**Caleb Ziems, William Held, Jingfeng Yang, et al.*English · 76 citations*](https://md.research.elamur.ai/free/en/papers/ziems-2023-multi-value-framework-cross-dialectal/)
55. **[Local Additivity Based Data Augmentation for Semi-supervised NER ↗](https://aclanthology.org/2020.emnlp-main.95/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Jiaao Chen et al.*2020 · 70 citations*
56. **[NormBank: A Knowledge Bank of Situational Social Norms](https://md.research.elamur.ai/free/en/papers/ziems-2023-normbank-knowledge-bank-situational-social/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Caleb Ziems, Jane Dwivedi-Yu, Yi-Chia Wang, et al.*2023 · 69 citations*
57. **[Inducing Positive Perspectives with Text Reframing ↗](https://aclanthology.org/2022.acl-long.257/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Caleb Ziems et al.*2022 · 68 citations*
58. [**VALUE: Understanding Dialect Disparity in NLU**Caleb Ziems, Jiaao Chen, Camille Harris, et al.*English · 67 citations*](https://md.research.elamur.ai/free/en/papers/ziems-2022-value-understanding-dialect-disparity-nlu/)
59. **[Grounding Gaps in Language Model Generations ↗](https://aclanthology.org/2024.naacl-long.348/) 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**Omar Shaikh et al.*2024 · 66 citations*
60. **[Question recommendation with constraints for massive open online courses ↗](https://doi.org/10.1145/2645710.2645748) ACM Conference on Recommender Systems (RecSys) · no summary yet**Diyi Yang, David Adamson, Carolyn Penstein Rosé*2014 · 64 citations*
61. **[Modeling Motivational Interviewing Strategies on an Online Peer-to-Peer Counseling Platform ↗](https://doi.org/10.1145/3555640) Proceedings of the ACM on Human-Computer Interaction · no summary yet**Raj Sanjay Shah et al.*2022 · 62 citations*
62. **[Personalization of Large Language Models: A Survey ↗](https://arxiv.org/abs/2411.00027) arXiv (Cornell University) · no summary yet**Zhehao Zhang et al.*2024 · 61 citations*
63. **[Culturally Aware Natural Language Inference](https://md.research.elamur.ai/free/en/papers/huang-2023-culturally-aware-natural-language-inference/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jing Huang, Diyi Yang*2023 · 61 citations*
64. **[Racism is a Virus: Anti-Asian Hate and Counterspeech in Social Media during the COVID-19 Crisis ↗](https://arxiv.org/abs/2005.12423) arXiv (Cornell University) · no summary yet**He, Bing et al.*2020 · 61 citations*
65. **[Personalized Response Generation via Generative Split Memory Network ↗](https://aclanthology.org/2021.naacl-main.157/) Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Yuwei Wu, Xuezhe Ma, Diyi Yang*2021 · 60 citations*
66. **[Unintended Impacts of LLM Alignment on Global Representation](https://md.research.elamur.ai/free/en/papers/ryan-2024-unintended-impacts-llm-alignment-global/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Michael J Ryan, William Held, Diyi Yang*2024 · 57 citations*
67. **[Simple Conversational Data Augmentation for Semi-supervised Abstractive Dialogue Summarization ↗](https://aclanthology.org/2021.emnlp-main.530/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Jiaao Chen, Diyi Yang*2021 · 54 citations*
68. **[Putting Humans in the Natural Language Processing Loop: A Survey ↗](https://aclanthology.org/2021.hcinlp-1.8/) Proceedings of the First Workshop on Bridging Human–Computer Interaction and Natural Language Processing · no summary yet**Zijie J. Wang et al.*2021 · 54 citations*
69. **[Benchmarking Machine Translation with Cultural Awareness ↗](https://aclanthology.org/2024.findings-emnlp.765/) Findings of the Association for Computational Linguistics: EMNLP 2024 · no summary yet**Binwei Yao et al.*2024 · 52 citations*
70. **[Semi-supervised Formality Style Transfer using Language Model Discriminator and Mutual Information Maximization ↗](https://aclanthology.org/2020.findings-emnlp.212/) Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yet**Kunal Chawla, Diyi Yang*2020 · 52 citations*
71. **[HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalizability ↗](https://aclanthology.org/2021.acl-long.338/) 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**Jiaao Chen et al.*2021 · 49 citations*
72. **[SWE-bench Multimodal: Do AI Systems Generalize to Visual Software Domains? ↗](https://arxiv.org/abs/2410.03859) arXiv (Cornell University) · no summary yet**John Jeongseok Yang et al.*2024 · 48 citations*
73. **[PrivacyLens: Evaluating Privacy Norm Awareness of Language Models in Action ↗](https://doi.org/10.52202/079017-2837) neural information processing systems · no summary yet**Yijia Shao et al.*2024 · 47 citations*
74. [**Parameter-Efficient Fine-Tuning Design Spaces arXiv:2301.01821**Jiaao Chen, Aston Zhang, Xingjian Shi, et al.*2023 · 47 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-parameter-efficient-fine-tuning-design/)
75. **[WHEN FLUE MEETS FLANG: Benchmarks and Large Pre-trained Language Model for Financial Domain ↗](https://arxiv.org/abs/2211.00083) arXiv (Cornell University) · no summary yet**Raj Sanjay Shah et al.*2022 · 47 citations*
76. **[DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks ↗](https://arxiv.org/abs/2309.17167) arXiv:2309.17167 · no summary yet**Kaijie Zhu et al.*2023 · 46 citations*
77. **[Positive Impact of Collaborative Chat Participation in an edX MOOC ↗](https://doi.org/10.1007/978-3-319-19773-9_12) Lecture notes in computer science · no summary yet**Oliver Ferschke et al.*2015 · 45 citations*
78. **[SWE-smith: Scaling Data for Software Engineering Agents ↗](https://doi.org/10.52202/085713-3239) neural information processing systems · no summary yet**John Yang et al.*2025 · 44 citations*
79. **[Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data ↗](https://arxiv.org/abs/2404.01413) arXiv (Cornell University) · no summary yet**Matthias Gerstgrasser et al.*2024 · 44 citations*
80. **[Helping the Helper: Supporting Peer Counselors via AI-Empowered Practice and Feedback ↗](https://arxiv.org/abs/2305.08982) arXiv (Cornell University) · no summary yet**Shang-Ling Hsu et al.*2023 · 44 citations*
81. **[Combining Factorization Model and Additive Forest for Collaborative Followee Recommendation ↗](https://openalex.org/W2316644690) no summary yet**Tianqi Chen et al.*2012 · 44 citations*
82. **[Local implicit feedback mining for music recommendation ↗](https://doi.org/10.1145/2365952.2365973) ACM Conference on Recommender Systems (RecSys) · no summary yet**Diyi Yang et al.*2012 · 44 citations*
83. **[Explaining Toxic Text via Knowledge Enhanced Text Generation ↗](https://aclanthology.org/2022.naacl-main.59/) Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Rohit Sridhar, Diyi Yang*2022 · 43 citations*
84. **[Continual Sequence Generation with Adaptive Compositional Modules ↗](https://aclanthology.org/2022.acl-long.255/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Yanzhe Zhang, Xuezhi Wang, Diyi Yang*2022 · 43 citations*
85. **[Towards an integration of text and graph clustering methods as a lens for studying social interaction in MOOCs ↗](https://doi.org/10.19173/irrodl.v15i5.1853) The International Review of Research in Open and Distributed Learning · no summary yet**Diyi Yang et al.*2014 · 43 citations*
86. **[A Search Engine for Discovery of Scientific Challenges and Directions ↗](https://doi.org/10.1609/aaai.v36i11.21456) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Dan Lahav et al.*2022 · 42 citations*
87. **[Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in Question Answering ↗](https://aclanthology.org/2021.findings-acl.293/) Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yet**Aditya Gupta et al.*2021 · 42 citations*
88. **[Exploring the Effect of Student Confusion in Massive Open Online Courses ↗](https://doi.org/10.5281/zenodo.3554605) Journal of Educational Data Mining · no summary yet**Diyi Yang, Robert E. Kraut, Carolyn Penstein Rosé*2016 · 42 citations*
89. **[Bounding the Capabilities of Large Language Models in Open Text Generation with Prompt Constraints ↗](https://aclanthology.org/2023.findings-eacl.148/) Findings of the Association for Computational Linguistics: EACL 2023 · no summary yet**Albert Lu et al.*2023 · 41 citations*
90. **[Serendipitous Personalized Ranking for Top-N Recommendation ↗](https://doi.org/10.5555/2457524.2457692) no summary yet**Qiuxia Lu et al.*2012 · 40 citations*
91. **[SEQZERO: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Models](https://md.research.elamur.ai/free/en/papers/yang-2022-seqzero-few-shot-compositional-semantic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jingfeng Yang, Haoming Jiang, Qingyu Yin, et al.*2022 · 38 citations*
92. [**Mitigating Racial Biases in Toxic Language Detection with an Equity-Based Ensemble Framework arXiv:2109.13137**Matan Halevy, Camille Harris, Amy Bruckman, et al.*2021 · 38 citations*](https://md.research.elamur.ai/free/en/papers/halevy-2021-mitigating-racial-biases-toxic-language/)
93. **[Interpreting Deep Learning Models in Natural Language Processing: A Review ↗](https://arxiv.org/abs/2110.10470) arXiv (Cornell University) · no summary yet**Xiaofei Sun et al.*2021 · 38 citations*
94. **[Design2Code: Benchmarking Multimodal Code Generation for Automated Front-End Engineering](https://md.research.elamur.ai/free/en/papers/si-2025-design2code-benchmarking-multimodal-code-generation/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Chenglei Si, Yanzhe Zhang, Ryan Li, et al.*2025 · 37 citations*
95. **[Demystifying Verbatim Memorization in Large Language Models ↗](https://aclanthology.org/2024.emnlp-main.598/) Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yet**Jing Huang, Diyi Yang, Christopher Potts*2024 · 35 citations*
96. **[Peer Influence on Attrition in Massively Open Online Courses. ↗](https://openalex.org/W2576592220) Educational Data Mining · no summary yet**Diyi Yang, Miaomiao Wen, Carolyn Penstein Rosé*2014 · 35 citations*
97. **[Are Large Language Models Consistent over Value-laden Questions? ↗](https://aclanthology.org/2024.findings-emnlp.891/) Findings of the Association for Computational Linguistics: EMNLP 2024 · no summary yet**Jared Moore, Tanvi Deshpande, Diyi Yang*2024 · 34 citations*
98. **[Anchor Points: Benchmarking Models with Much Fewer Examples ↗](https://aclanthology.org/2024.eacl-long.95/) Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Rajan Vivek et al.*2024 · 33 citations*
99. **[A Sketch is Worth a Thousand Words: Image Retrieval with Text and Sketch ↗](https://doi.org/10.1007/978-3-031-19839-7_15) Lecture notes in computer science · no summary yet**Patsorn Sangkloy et al.*2022 · 33 citations*
100. **[Evaluating Graph Vulnerability and Robustness using TIGER ↗](https://doi.org/10.1145/3459637.3482002) Proceedings of the ... ACM International Conference on Information & Knowledge Management · no summary yet**Scott Freitas et al.*2021 · 33 citations*

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