🧑‍🔬 Who cites Tal August

167 citations of their works from 167 papers of our library (of the 149,439 whose bibliographies we read) · 36 with a page here, the most cited first · ← Tal August

1. Llama 2: Open Foundation and Fine-Tuned Chat ModelsarXiv:2307.09288Hugo Touvron, Louis Martin, Kevin Stone, et al.2023 · 9,669 citations
2. ChatGPT for Good? On Opportunities and Challenges of Large Language Models for EducationEnkelejda Kasneci, Kathrin Seßler, Stefan Küchemann, et al.2023 · 7,440 citations
3. On the Opportunities and Risks of Foundation ModelsarXiv:2108.07258Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,160 citations
4. ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Thomas Hartvigsen, Saadia Gabriel, Hamid Palangi, et al.2022 · 578 citations
5. WANLI: Worker and AI Collaboration for Natural Language Inference Dataset CreationarXiv:2201.05955Alisa Liu, Swabha Swayamdipta, Noah A. Smith, et al.2022 · 317 citations
6. A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future DirectionsComputational LinguisticsJunchao Wu, Shu Yang, Runzhe Zhan, et al.2025 · 277 citations
7. MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence FrontiersarXiv:2102.01454Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, et al.2021 · 251 citations
8. Synthetic Data Generation with Large Language Models for Text Classification: Potential and LimitationsConference on Empirical Methods in Natural Language Processing (EMNLP)Zhuoyan Li, Hangxiao Zhu, Zhuoran Lu, et al.2023 · 242 citations
9. Aligning Large Language Models with Human: A SurveyarXiv:2307.12966Yufei Wang, Wanjun Zhong, Liangyou Li, et al.2023 · 202 citations
10. DataComp-LM: In search of the next generation of training sets for language modelsConference on Neural Information Processing Systems (NeurIPS)Jeffrey Li, Alex Fang, Georgios Smyrnis, et al.2024 · 191 citations
11. On the Risk of Misinformation Pollution with Large Language ModelsFindings of the Association for Computational LinguisticsYikang Pan, Liangming Pan, Wenhu Chen, et al.2023 · 179 citations
12. Quark: Controllable Text Generation with Reinforced UnlearningConference on Neural Information Processing Systems (NeurIPS)Ximing Lu, Sean Welleck, Jack Hessel, et al.2022 · 170 citations
13. Is GPT-3 Text Indistinguishable from Human Text? Scarecrow: A Framework for Scrutinizing Machine TextAnnual Meeting of the Association for Computational Linguistics (ACL)Yao Dou, Maxwell Forbes, Rik Koncel-Kedziorski, et al.2022 · 152 citations
14. Automatically Correcting Large Language Models: Surveying the Landscape of Diverse Automated Correction StrategiesTransactions of the Association for Computational Linguistics (TACL)Liangming Pan, Michael Saxon, Wenda Xu, et al.2024 · 140 citations
15. Humans or LLMs as the Judge? A Study on Judgement BiasConference on Empirical Methods in Natural Language Processing (EMNLP)Guiming Hardy Chen, Shunian Chen, Ziche Liu, et al.2024 · 133 citations
16. Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human EvaluationarXiv:2212.07981Yixin Liu, Alexander R. Fabbri, Pengfei Liu, et al.2022 · 117 citations
17. LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form SummarizationConference of the European Chapter of the Association for Computational Linguistics (EACL)Kalpesh Krishna, Erin Bransom, Bailey Kuehl, et al.2023 · 114 citations
18. RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text DetectorsAnnual Meeting of the Association for Computational Linguistics (ACL)Liam Dugan, Alyssa Hwang, Filip Trhlík, et al.2024 · 110 citations
19. Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language GenerationTransactions of the Association for Computational Linguistics (TACL)Patrick Fernandes, Aman Madaan, Emmy Liu, et al.2023 · 84 citations
20. PKU-SafeRLHF: Towards Multi-Level Safety Alignment for LLMs with Human PreferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Jiaming Ji, Donghai Hong, Borong Zhang, et al.2025 · 83 citations
21. Style Over Substance: Evaluation Biases for Large Language ModelsInternational Conference on Computational Linguistics (COLING)Minghao Wu, Alham Fikri Aji2025 · 81 citations
22. Humans or LLMs as the Judge? A Study on Judgement BiasesarXiv:2402.10669Guiming Hardy Chen, Shunian Chen, Ziche Liu, et al.2024 · 78 citations
23. Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language ModelLeonie Weissweiler, Valentin Hofmann, Anjali Kantharuban2023 · 47 citations
24. Do Language Models Enjoy Their Own Stories? Prompting Large Language Models for Automatic Story EvaluationTransactions of the Association for Computational Linguistics (TACL)Cyril Chhun, Fabian M. Suchanek, Chloé Clavel2024 · 41 citations
25. M-LongDoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning FrameworkConference on Empirical Methods in Natural Language Processing (EMNLP)Yew Ken Chia, Liying Cheng, Hou Pong Chan, et al.2025 · 21 citations
26. The Iron(ic) Melting Pot: Reviewing Human Evaluation in Humour, Irony and Sarcasm GenerationFindings of the Association for Computational LinguisticsTyler Loakman, Aaron Maladry, Chenghua Lin2023 · 19 citations
27. Can LLMs Augment Low-Resource Reading Comprehension Datasets? Opportunities and ChallengesarXiv:2309.12426Vinay Samuel, Houda Aynaou, Arijit Ghosh Chowdhury, et al.2023 · 16 citations
28. Natural Language Processing RELIES on LinguisticsComputational LinguisticsJuri Opitz, Shira Wein, Nathan Schneider2025 · 13 citations
29. CLASE: A Hybrid Method for Chinese Legalese Stylistic EvaluationLanguage Resources and Evaluation Conference (LREC)Yiran Rex Ma, Yuxiao Ye, Huiyuan Xie2026 · 1 citation
30. Identifying Bias in Machine-generated Text DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Kevin Stowe, Svetlana Afanaseva, Rodolfo C. Raimundo, et al.2026 · 1 citation
31. Text-to-Text Automatic Story Generation: A SurveyConference of the European Chapter of the Association for Computational Linguistics (EACL)Yuan Ma, Richard Susilo, Patrik Haslum, et al.2026 · 1 citation
32. The Thin Line Between Comprehension and Persuasion in LLMsFindings of the Association for Computational LinguisticsAdrian de Wynter, Tangming Yuan2026 · 1 citation
33. When Translations Surprise: Human Awareness of Predictability in TranslationsLanguage Resources and Evaluation Conference (LREC)Cristian García-Romero, Miquel Esplà-Gomis, Felipe Sanchez-Martinez2026 · 1 citation
34. Beyond Static Artifacts: An Evolutionary Framework for Synthetic Claim GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Yeqing Teng, Jiasheng Si, Shuxia Lin, et al.2026
35. Corpus and Baselines for Distinguishing Authentic, AI-Generated, and AI-Enhanced ResumesLanguage Resources and Evaluation Conference (LREC)Andrea Loizidou, Anshu Kiran Sharma, Adrian Esquivel, et al.2026
36. From Fluent to Useful: Generative AI That Models Purpose, Audience, and Presenter for Scientific CommunicationAnnual Meeting of the Association for Computational Linguistics (ACL)Ishani Mondal2026

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