🧑‍🔬 Who cites Margaret Li

443 citations of their works from 418 papers of our library (of the 141,840 whose bibliographies we read) · 63 with a page here, the most cited first · ← Margaret Li

1. Training language models to follow instructions with human feedbackarXiv:2203.02155Long Ouyang, Jeff Wu, Xu Jiang, et al.2022 · 10,005 citations
   Survey of Hallucination in Natural Language GenerationACM Computing SurveysZiwei Ji, Nayeon Lee, Rita Frieske, et al.2022 · 5,957 citations
   A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open QuestionsACM Transactions on Information SystemsLei Huang, Weijiang Yu, Weitao Ma, et al.2023 · 3,222 citations
   TruthfulQA: Measuring How Models Mimic Human FalsehoodsAnnual Meeting of the Association for Computational Linguistics (ACL)Stephanie Lin, Jacob Hilton, Owain Evans2022 · 2,052 citations
2. OPT: Open Pre-trained Transformer Language ModelsarXiv:2205.01068Susan Zhang, Stephen Roller, Naman Goyal, et al.2022 · 1,720 citations
3. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsarXiv:2206.04615 · Transactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5BvosjAarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.2022 · 1,703 citations
4. Gemini 1.5: Unlocking multimodal understanding across millions of tokens of contextarXiv:2403.05530Gemini Team, Petko Georgiev, Ving Ian Lei, et al.2024 · 1,522 citations
5. LaMDA: Language Models for Dialog ApplicationsarXiv:2201.08239Romal Thoppilan, Daniel De Freitas, Jamie Hall, et al.2022 · 1,326 citations
   Recipes for Building an Open-Domain ChatbotConference of the European Chapter of the Association for Computational Linguistics (EACL)Stephen Roller, Emily Dinan, Naman Goyal, et al.2021 · 1,208 citations
   Bias and Fairness in Large Language Models: A SurveyComputational LinguisticsIsabel O. Gallegos, Ryan A. Rossi, Joe Barrow, et al.2023 · 1,074 citations
6. Constitutional AI: Harmlessness from AI FeedbackarXiv:2212.08073Yuntao Bai, Saurav Kadavath, Sandipan Kundu, et al.2022 · 962 citations
7. A Survey on In-context LearningarXiv:2301.00234Qingxiu Dong, Lei Li, Damai Dai, et al.2023 · 959 citations
   Red Teaming Language Models with Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Ethan Perez, Saffron Huang, Francis Song, et al.2022 · 666 citations
   Jailbroken: How Does LLM Safety Training Fail?Conference on Neural Information Processing Systems (NeurIPS)Alexander Wei, Nika Haghtalab, Jacob Steinhardt2023 · 659 citations
8. Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons LearnedarXiv:2209.07858Deep Ganguli, Liane Lovitt, Jackson Kernion, et al.2022 · 460 citations
   GeDi: Generative Discriminator Guided Sequence GenerationFindings of the Association for Computational LinguisticsBen Krause, Akhilesh Deepak Gotmare, Bryan McCann, et al.2021 · 446 citations
9. Whose Opinions Do Language Models Reflect?arXiv:2303.17548Shibani Santurkar, Esin Durmus, Faisal Ladhak, et al.2023 · 392 citations
10. Editing Models with Task ArithmeticarXiv:2212.04089Gabriel Ilharco, Marco Tulio Ribeiro, Mitchell Wortsman, et al.2022 · 376 citations
    BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference DatasetConference on Neural Information Processing Systems (NeurIPS)Jiaming Ji, Mickel Liu, Juntao Dai, et al.2023 · 352 citations
11. Improving alignment of dialogue agents via targeted human judgementsarXiv:2209.14375Amelia Glaese, Nat McAleese, Maja Trębacz, et al.2022 · 352 citations
    FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Esin Durmus, He He, Mona Diab2020 · 352 citations
    Internet-Augmented Dialogue GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Mojtaba Komeili, Kurt Shuster, Jason Weston2022 · 351 citations
12. Hallucination is Inevitable: An Innate Limitation of Large Language ModelsarXiv:2401.11817Ziwei Xu, Sanjay Jain, Mohan Kankanhalli2024 · 309 citations
    TIES-Merging: Resolving Interference When Merging ModelsConference on Neural Information Processing Systems (NeurIPS)Prateek Yadav, Derek Tam, Leshem Choshen, et al.2023 · 308 citations
13. Discovering Language Model Behaviors with Model-Written EvaluationsarXiv:2212.09251Ethan Perez, Sam Ringer, Kamilė Lukošiūtė, et al.2022 · 307 citations
    CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement LearningConference on Neural Information Processing Systems (NeurIPS)Hung Le, Yue Wang, Akhilesh Deepak Gotmare, et al.2022 · 291 citations
14. MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training StrategiesarXiv:2404.06395Shengding Hu, Yuge Tu, Xu Han, et al.2024 · 258 citations
    CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP)Shuyang Cao, Lu Wang2021 · 258 citations
    Pretrained Language Models for Biomedical and Clinical Tasks: Understanding and Extending the State-of-the-ArtClinical Natural Language Processing WorkshopPatrick Lewis, Myle Ott, Jingfei Du, et al.2020 · 241 citations
15. BlenderBot 3: a deployed conversational agent that continually learns to responsibly engagearXiv:2208.03188Kurt Shuster, Jing Xu, Mojtaba Komeili, et al.2022 · 237 citations
16. Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language ModelsarXiv:2405.01535Seungone Kim, Juyoung Suk, Shayne Longpre, et al.2024 · 220 citations
    Challenges in Detoxifying Language ModelsFindings of the Association for Computational LinguisticsJohannes Welbl, Amelia Glaese, Jonathan Uesato, et al.2021 · 207 citations
    Entity-level Factual Consistency of Abstractive Text SummarizationConference of the European Chapter of the Association for Computational Linguistics (EACL)Feng Nan, Ramesh Nallapati, Zhiguo Wang, et al.2021 · 205 citations
    Knowledge Conflicts for LLMs: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Rongwu Xu, Zehan Qi, Zhijiang Guo, et al.2024 · 179 citations
    Quark: Controllable Text Generation with Reinforced UnlearningConference on Neural Information Processing Systems (NeurIPS)Ximing Lu, Sean Welleck, Jack Hessel, et al.2022 · 165 citations
    “I'm sorry to hear that”: Finding New Biases in Language Models with a Holistic Descriptor DatasetConference on Empirical Methods in Natural Language Processing (EMNLP)Eric Michael Smith, Melissa Hall, Melanie Kambadur, et al.2022 · 165 citations
17. GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via CipherarXiv:2308.06463Youliang Yuan, Wenxiang Jiao, Wenxuan Wang, et al.2023 · 158 citations
    Locally Typical SamplingTransactions of the Association for Computational Linguistics (TACL)Clara Meister, Tiago Pimentel, Gian Wiher, et al.2023 · 154 citations
    ProsocialDialog: A Prosocial Backbone for Conversational AgentsConference on Empirical Methods in Natural Language Processing (EMNLP)Hyunwoo Kim, Youngjae Yu, Liwei Jiang, et al.2022 · 150 citations
    BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized DataAnnual Meeting of the Association for Computational Linguistics (ACL)Haoyu Song, Yan Wang, Kaiyan Zhang, et al.2021 · 149 citations
    Paragraph-level Simplification of Medical TextsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Ashwin Devaraj, Iain Marshall, Byron Wallace, et al.2021 · 140 citations
18. RAFT: Adapting Language Model to Domain Specific RAGarXiv:2403.10131Tianjun Zhang, Shishir G. Patil, Naman Jain, et al.2024 · 135 citations
    Detoxifying Language Models Risks Marginalizing Minority VoicesConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Albert Xu, Eshaan Pathak, Eric Wallace, et al.2021 · 135 citations
    Language Models that Seek for Knowledge: Modular Search & Generation for Dialogue and Prompt CompletionFindings of the Association for Computational LinguisticsKurt Shuster, Mojtaba Komeili, Leonard Adolphs, et al.2022 · 131 citations
    Improving Factual Consistency of Abstractive Summarization via Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Feng Nan, Cicero Nogueira dos Santos, Henghui Zhu, et al.2021 · 128 citations
19. Large Language Model Alignment: A SurveyarXiv:2309.15025Tianhao Shen, Renren Jin, Yufei Huang, et al.2023 · 123 citations
    The Moral Integrity Corpus: A Benchmark for Ethical Dialogue SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Caleb Ziems, Jane A. Yu, Yi-Chia Wang, et al.2022 · 121 citations
20. Pretraining Language Models with Human PreferencesarXiv:2302.08582Tomasz Korbak, Kejian Shi, Angelica Chen, et al.2023 · 118 citations
21. Certifying LLM Safety against Adversarial PromptingarXiv:2309.02705Aounon Kumar, Chirag Agarwal, Suraj Srinivas, et al.2023 · 110 citations
22. Fundamental Limitations of Alignment in Large Language ModelsarXiv:2304.11082Yotam Wolf, Noam Wies, Oshri Avnery, et al.2023 · 110 citations
    Defending Against Alignment-Breaking Attacks via Robustly Aligned LLMAnnual Meeting of the Association for Computational Linguistics (ACL)Bochuan Cao, Yuanpu Cao, Lu Lin, et al.2024 · 107 citations
    On the Safety of Conversational Models: Taxonomy, Dataset, and BenchmarkFindings of the Association for Computational LinguisticsHao Sun, Guangxuan Xu, Jiawen Deng, et al.2022 · 102 citations
    I like fish, especially dolphins: Addressing Contradictions in Dialogue ModelingAnnual Meeting of the Association for Computational Linguistics (ACL)Yixin Nie, Mary Williamson, Mohit Bansal, et al.2021 · 101 citations
    Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable SurveyConference of the European Chapter of the Association for Computational Linguistics (EACL)Sachin Kumar, Vidhisha Balachandran, Lucille Njoo, et al.2023 · 87 citations
23. Survey of Vulnerabilities in Large Language Models Revealed by Adversarial AttacksarXiv:2310.10844Erfan Shayegani, Md Abdullah Al Mamun, Yu Fu, et al.2023 · 83 citations
    Will I Sound Like Me? Improving Persona Consistency in Dialogues through Pragmatic Self-ConsciousnessConference on Empirical Methods in Natural Language Processing (EMNLP)Hyunwoo Kim, Byeongchang Kim, Gunhee Kim2020 · 83 citations
24. OR-Bench: An Over-Refusal Benchmark for Large Language ModelsarXiv:2405.20947Justin Cui, Wei-Lin Chiang, Ion Stoica, et al.2024 · 73 citations
    Unveiling the Implicit Toxicity in Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Jiaxin Wen, Pei Ke, Hao Sun, et al.2023 · 71 citations
25. A Comprehensive Survey on Long Context Language ModelingarXiv:2503.17407Jiaheng Liu, Dawei Zhu, Zhiqi Bai, et al.2025 · 64 citations
26. Scaling Laws with Vocabulary: Larger Models Deserve Larger VocabulariesarXiv:2407.13623Chaofan Tao, Qian Liu, Longxu Dou, et al.2024 · 42 citations
27. MultiPragEval: Multilingual Pragmatic Evaluation of Large Language ModelsProceedings of the 2nd GenBench Workshop on Generalisation (Benchmarking) in NLPDojun Park, Jiwoo Lee, Seohyun Park, et al.2024 · 17 citations
28. Kuwain 1.5B: An Arabic SLM via Language InjectionarXiv:2504.15120Khalil Hennara, Sara Chrouf, Mohamed Motaism Hamed, et al.2025 · 4 citations
    Toxic Subword Pruning for Dialogue Response Generation on Large Language ModelsJoint Conference on Lexical and Computational Semantics (*SEM)Hongyuan Adam Lu, Wai Lam2026

355 more citing papers of our library have no page here yet.

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/margaret-li/cited-by/