🧑‍🔬 Who cites Hareesh Bahuleyan

193 citations of their works from 192 papers of our library (of the 141,840 whose bibliographies we read) · 16 with a page here, the most cited first · ← Hareesh Bahuleyan

1. On-Policy Distillation of Language Models: Learning from Self-Generated MistakesarXiv:2306.13649Rishabh Agarwal, Nino Vieillard, Yongchao Zhou, et al.2023 · 288 citations
   “Transforming” Delete, Retrieve, Generate Approach for Controlled Text Style TransferConference on Empirical Methods in Natural Language Processing (EMNLP)Akhilesh Sudhakar, Bhargav Upadhyay, Arjun Maheswaran2019 · 240 citations
   FUDGE: Controlled Text Generation With Future DiscriminatorsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Kevin Yang, Dan Klein2021 · 235 citations
   The Importance of Modeling Social Factors of Language: Theory and PracticeConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Dirk Hovy, Diyi Yang2021 · 234 citations
   Politeness Transfer: A Tag and Generate ApproachAnnual Meeting of the Association for Computational Linguistics (ACL)Aman Madaan, Amrith Setlur, Tanmay Parekh, et al.2020 · 234 citations
2. How Language Model Hallucinations Can SnowballarXiv:2305.13534Muru Zhang, Ofir Press, William Merrill, et al.2023 · 222 citations
   Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style TransferConference on Empirical Methods in Natural Language Processing (EMNLP)Fanchao Qi, Yangyi Chen, Xurui Zhang, et al.2021 · 188 citations
   Controllable Paraphrase Generation with a Syntactic ExemplarAnnual Meeting of the Association for Computational Linguistics (ACL)Mingda Chen, Qingming Tang, Sam Wiseman, et al.2019 · 173 citations
3. Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy OptimizationarXiv:2210.01241Rajkumar Ramamurthy, Prithviraj Ammanabrolu, Kiante Brantley, et al.2022 · 168 citations
   BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and LanguagesConference on Neural Information Processing Systems (NeurIPS)Junho Myung, Nayeon Lee, Yi Zhou, et al.2024 · 147 citations
   Text Embeddings Reveal (Almost) As Much As TextConference on Empirical Methods in Natural Language Processing (EMNLP)John Morris, Volodymyr Kuleshov, Vitaly Shmatikov, et al.2023 · 146 citations
4. MiniLLM: On-Policy Distillation of Large Language ModelsarXiv:2306.08543Yuxian Gu, Li Dong, Furu Wei, et al.2023 · 143 citations
   Deductive Verification of Chain-of-Thought ReasoningConference on Neural Information Processing Systems (NeurIPS)Zhan Ling, Yunhao Fang, Xuanlin Li, et al.2023 · 128 citations
5. DistiLLM: Towards Streamlined Distillation for Large Language ModelsarXiv:2402.03898Jongwoo Ko, Sungnyun Kim, Tianyi Chen, et al.2024 · 111 citations
6. T-STAR: Truthful Style Transfer using AMR Graph as Intermediate RepresentationAnubhav Jangra, Preksha Nema, Aravindan Raghuveer2022 · 11 citations
7. Acquiring a Formality-Informed Lexical Resource for Style AnalysisElisabeth Eder, Ulrike Krieg-Holz, Udo Hahn2021 · 6 citations

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