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Who cites Steven Bills

912 citations of their works from 912 papers of our library (of the 149,439 whose bibliographies we read) · 127 with a page here, the most cited first · page 1 of 2 · 1–100 · ← Steven Bills

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  1. Active Learning Literature SurveyComputer Sciences Technical Report 1648, University of Wisconsin–MadisonBurr Settles2009 · 4,904 citations
  2. 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 · 3,231 citations
  3. Reading Wikipedia to Answer Open-Domain QuestionsAnnual Meeting of the Association for Computational Linguistics (ACL)Danqi Chen, Adam Fisch, Jason Weston, et al.2017 · 2,283 citations
  4. Attention-Based Bidirectional Long Short-Term Memory Networks for Relation ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Peng Zhou, Wei Shi, Jun Tian, et al.2016 · 2,219 citations
  5. Knowledge GraphsACM Computing SurveysAidan Hogan, Eva Blomqvist, Michael Cochez, et al.2020 · 2,014 citations
  6. Relation Classification via Convolutional Deep Neural NetworkInternational Conference on Computational Linguistics (COLING)Daojian Zeng, Kang Liu, Siwei Lai, et al.2014 · 1,673 citations
  7. Unifying Large Language Models and Knowledge Graphs: A RoadmapIEEE Transactions on Knowledge and Data EngineeringShirui Pan, Linhao Luo, Yufei Wang, et al.2023 · 1,551 citations
  8. Named Entity Recognition in Tweets: An Experimental StudyConference on Empirical Methods in Natural Language Processing (EMNLP)Alan Ritter, Sam Clark, Mausam, et al.2011 · 1,458 citations
  9. Knowledge Graph Refinement: A Survey of Approaches and Evaluation MethodsSemantic WebHeiko Paulheim2017 · 1,248 citations
  10. Graph Convolution over Pruned Dependency Trees Improves Relation ExtractionConference on Empirical Methods in Natural Language Processing (EMNLP)Yuhao Zhang, Peng Qi, Christopher D. Manning2018 · 1,050 citations
  11. Constitutional AI: Harmlessness from AI FeedbackarXiv:2212.08073Yuntao Bai, Saurav Kadavath, Sandipan Kundu, et al.2022 · 1,028 citations
  12. Matching the Blanks: Distributional Similarity for Relation LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Livio Baldini Soares, Nicholas FitzGerald, Jeffrey Ling, et al.2019 · 999 citations
  13. Leveraging Linguistic Structure For Open Domain Information ExtractionAnnual Meeting of the Association for Computational Linguistics (ACL)Gabor Angeli, Melvin Jose Johnson Premkumar, Christopher D. Manning2015 · 923 citations
  14. Representing Text for Joint Embedding of Text and Knowledge BasesConference on Empirical Methods in Natural Language Processing (EMNLP)Kristina Toutanova, Danqi Chen, Patrick Pantel, et al.2015 · 907 citations
  15. Joint Extraction of Entities and Relations Based on a Novel Tagging SchemeAnnual Meeting of the Association for Computational Linguistics (ACL)Suncong Zheng, Feng Wang, Hongyun Bao, et al.2017 · 906 citations
  16. Classifying Relations via Long Short Term Memory Networks along Shortest Dependency PathsConference on Empirical Methods in Natural Language Processing (EMNLP)Yan Xu, Lili Mou, Ge Li, et al.2015 · 775 citations
  17. A Novel Cascade Binary Tagging Framework for Relational Triple ExtractionAnnual Meeting of the Association for Computational Linguistics (ACL)Zhepei Wei, Jianlin Su, Yue Wang, et al.2020 · 736 citations
  18. Transfer Learning in Natural Language ProcessingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Sebastian Ruder, Matthew E. Peters, Swabha Swayamdipta, et al.2019 · 708 citations
  19. CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model SocietyConference on Neural Information Processing Systems (NeurIPS)Guohao Li, Hasan Abed Al Kader Hammoud, Hani Itani, et al.2023 · 706 citations
  20. Modeling Relation Paths for Representation Learning of Knowledge BasesConference on Empirical Methods in Natural Language Processing (EMNLP)Yankai Lin, Zhiyuan Liu, Huanbo Luan, et al.2015 · 702 citations
  21. Cross-lingual Name Tagging and Linking for 282 LanguagesAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoman Pan, Boliang Zhang, Jonathan May, et al.2017 · 670 citations
  22. Open Information Extraction Using WikipediaAnnual Meeting of the Association for Computational Linguistics (ACL)Fei Wu, Daniel S. Weld2010 · 650 citations
  23. Attention Guided Graph Convolutional Networks for Relation ExtractionAnnual Meeting of the Association for Computational Linguistics (ACL)Zhijiang Guo, Yan Zhang, Wei Lu2019 · 602 citations
  24. Relation Extraction: Perspective from Convolutional Neural NetworksWorkshop on Vector Space Modeling for Natural Language ProcessingThien Huu Nguyen, Ralph Grishman2015 · 592 citations
  25. Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought PromptingConference on Neural Information Processing Systems (NeurIPS)Miles Turpin, Julian Michael, Ethan Perez, et al.2023 · 586 citations
  26. Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model ParametersarXiv:2408.03314Charlie Snell, Jaehoon Lee, Kelvin Xu, et al.2024 · 567 citations
  27. Cross-Sentence N-ary Relation Extraction with Graph LSTMsTransactions of the Association for Computational Linguistics (TACL)Nanyun Peng, Hoifung Poon, Chris Quirk, et al.2017 · 557 citations
  28. Inference-Time Intervention: Eliciting Truthful Answers from a Language ModelConference on Neural Information Processing Systems (NeurIPS)Kenneth Li, Oam Patel, Fernanda Viegas, et al.2023 · 492 citations
  29. EmoNet: Fine-Grained Emotion Detection with Gated Recurrent Neural NetworksAnnual Meeting of the Association for Computational Linguistics (ACL)Muhammad Abdul-Mageed, Lyle Ungar2017 · 487 citations
  30. Knowledge Graph and Text Jointly EmbeddingConference on Empirical Methods in Natural Language Processing (EMNLP)Zhen Wang, Jianwen Zhang, Jianlin Feng, et al.2014 · 461 citations
  31. AlpacaFarm: A Simulation Framework for Methods that Learn from Human FeedbackConference on Neural Information Processing Systems (NeurIPS)Yann Dubois, Xuechen Li, Rohan Taori, et al.2023 · 456 citations
  32. Exploring Pre-trained Language Models for Event Extraction and GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Sen Yang, Dawei Feng, Linbo Qiao, et al.2019 · 454 citations
  33. Paraphrase-Driven Learning for Open Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Anthony Fader, Luke Zettlemoyer, Oren Etzioni2013 · 444 citations
  34. SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific PublicationsInternational Workshop on Semantic Evaluation (SemEval)Isabelle Augenstein, Mrinal Das, Sebastian Riedel, et al.2017 · 437 citations
  35. A Survey on Recent Approaches for Natural Language Processing in Low-Resource ScenariosConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Michael A. Hedderich, Lukas Lange, Heike Adel, et al.2021 · 401 citations
  36. Construction of the Literature Graph in Semantic ScholarConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Waleed Ammar, Dirk Groeneveld, Chandra Bhagavatula, et al.2018 · 400 citations
  37. Towards Understanding Sycophancy in Language ModelsarXiv:2310.13548Mrinank Sharma, Meg Tong, Tomasz Korbak, et al.2023 · 384 citations
  38. Improving alignment of dialogue agents via targeted human judgementsarXiv:2209.14375Amelia Glaese, Nat McAleese, Maja Trębacz, et al.2022 · 362 citations
  39. Question Answering on Freebase via Relation Extraction and Textual EvidenceAnnual Meeting of the Association for Computational Linguistics (ACL)Kun Xu, Siva Reddy, Yansong Feng, et al.2016 · 360 citations
  40. Simultaneously Self-Attending to All Mentions for Full-Abstract Biological Relation ExtractionConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Patrick Verga, Emma Strubell, Andrew McCallum2018 · 353 citations
  41. T-REx: A Large Scale Alignment of Natural Language with Knowledge Base TriplesLanguage Resources and Evaluation Conference (LREC)Hady Elsahar, Pavlos Vougiouklis, Arslen Remaci, et al.2018 · 350 citations
  42. ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and GenerationarXiv:2107.02137Yu Sun, Shuohuan Wang, Shikun Feng, et al.2021 · 332 citations
  43. Discovering Language Model Behaviors with Model-Written EvaluationsarXiv:2212.09251Ethan Perez, Sam Ringer, Kamilė Lukošiūtė, et al.2022 · 328 citations
  44. CRITIC: Large Language Models Can Self-Correct with Tool-Interactive CritiquingarXiv:2305.11738Zhibin Gou, Zhihong Shao, Yeyun Gong, et al.2023 · 326 citations
  45. Distant Supervision for Relation Extraction beyond the Sentence BoundaryConference of the European Chapter of the Association for Computational Linguistics (EACL)Chris Quirk, Hoifung Poon2017 · 321 citations
  46. Nested Named Entity Recognition RevisitedConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Arzoo Katiyar, Claire Cardie2018 · 306 citations
  47. Automated Fact Checking: Task Formulations, Methods and Future DirectionsInternational Conference on Computational Linguistics (COLING)James Thorne, Andreas Vlachos2018 · 304 citations
  48. Learning Named Entity Tagger using Domain-Specific DictionaryConference on Empirical Methods in Natural Language Processing (EMNLP)Jingbo Shang, Liyuan Liu, Xiaotao Gu, et al.2018 · 302 citations
  49. Distant Supervision for Relation Extraction with an Incomplete Knowledge BaseConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Bonan Min, Ralph Grishman, Li Wan, et al.2013 · 302 citations
  50. Joint Mention Extraction and Classification with Mention HypergraphsConference on Empirical Methods in Natural Language Processing (EMNLP)Wei Lu, Dan Roth2015 · 301 citations
  51. Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented GraphsConference on Empirical Methods in Natural Language Processing (EMNLP)Fenia Christopoulou, Makoto Miwa, Sophia Ananiadou2019 · 298 citations
  52. Robust Distant Supervision Relation Extraction via Deep Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Pengda Qin, Weiran Xu, William Yang Wang2018 · 298 citations
  53. Constructing Datasets for Multi-hop Reading Comprehension Across DocumentsTransactions of the Association for Computational Linguistics (TACL)Johannes Welbl, Pontus Stenetorp, Sebastian Riedel2018 · 290 citations
  54. A Survey of Paraphrasing and Textual Entailment MethodsJournal of Artificial Intelligence ResearchIon Androutsopoulos, Prodromos Malakasiotis2009 · 284 citations
  55. Compositional Vector Space Models for Knowledge Base CompletionAnnual Meeting of the Association for Computational Linguistics (ACL)Arvind Neelakantan, Benjamin Roth, Andrew McCallum2015 · 281 citations
  56. MAVEN: A Massive General Domain Event Detection DatasetConference on Empirical Methods in Natural Language Processing (EMNLP)Xiaozhi Wang, Ziqi Wang, Xu Han, et al.2020 · 261 citations
  57. Learning from Context or Names? An Empirical Study on Neural Relation ExtractionConference on Empirical Methods in Natural Language Processing (EMNLP)Hao Peng, Tianyu Gao, Xu Han, et al.2020 · 255 citations
  58. Language Models can Solve Computer TasksConference on Neural Information Processing Systems (NeurIPS)Geunwoo Kim, Pierre Baldi, Stephen McAleer2023 · 249 citations
  59. Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event ExtractionConference on Empirical Methods in Natural Language Processing (EMNLP)Shun Zheng, Wei Cao, Wei Xu, et al.2019 · 246 citations
  60. BlenderBot 3: a deployed conversational agent that continually learns to responsibly engagearXiv:2208.03188Kurt Shuster, Jing Xu, Mojtaba Komeili, et al.2022 · 241 citations
  61. CoLAKE: Contextualized Language and Knowledge EmbeddingInternational Conference on Computational Linguistics (COLING)Tianxiang Sun, Yunfan Shao, Xipeng Qiu, et al.2020 · 239 citations
  62. Commonsense Knowledge Base CompletionAnnual Meeting of the Association for Computational Linguistics (ACL)Xiang Li, Aynaz Taheri, Lifu Tu, et al.2016 · 234 citations
  63. Concrete Problems in AI SafetyarXiv:1606.06565Dario Amodei, Chris Olah, Jacob Steinhardt, et al.2016 · 232 citations
  64. Automatically Labeled Data Generation for Large Scale Event ExtractionAnnual Meeting of the Association for Computational Linguistics (ACL)Yubo Chen, Shulin Liu, Xiang Zhang, et al.2017 · 228 citations
  65. Learning to Parse and Translate Improves Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Akiko Eriguchi, Yoshimasa Tsuruoka, Kyunghyun Cho2017 · 217 citations
  66. Structured Relation Discovery using Generative ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Limin Yao, Aria Haghighi, Sebastian Riedel, et al.2011 · 216 citations
  67. Collecting Diverse Natural Language Inference Problems for Sentence Representation EvaluationConference on Empirical Methods in Natural Language Processing (EMNLP)Adam Poliak, Aparajita Haldar, Rachel Rudinger, et al.2018 · 193 citations
  68. Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language ModelsScience China Information SciencesQiguang Chen, Libo Qin, Jinhao Liu, et al.2025 · 176 citations
  69. KGPT: Knowledge-Grounded Pre-Training for Data-to-Text GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Wenhu Chen, Yu Su, Xifeng Yan, et al.2020 · 174 citations
  70. AI Alignment: A Comprehensive SurveyarXiv:2310.19852Jiaming Ji, Tianyi Qiu, Boyuan Chen, et al.2023 · 173 citations
  71. Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak SupervisionarXiv:2312.09390Collin Burns, Pavel Izmailov, Jan Hendrik Kirchner, et al.2023 · 172 citations
  72. Generating Sequences by Learning to Self-CorrectarXiv:2211.00053Sean Welleck, Ximing Lu, Peter West, et al.2022 · 172 citations
  73. When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMsTransactions of the Association for Computational Linguistics (TACL)Ryo Kamoi, Yusen Zhang, Nan Zhang, et al.2024 · 161 citations
  74. Training Language Models to Self-Correct via Reinforcement LearningarXiv:2409.12917Aviral Kumar, Vincent Zhuang, Rishabh Agarwal, et al.2024 · 159 citations
  75. REFINER: Reasoning Feedback on Intermediate RepresentationsarXiv:2304.01904Debjit Paul, Mete Ismayilzada, Maxime Peyrard, et al.2023 · 156 citations
  76. LLM-based NLG Evaluation: Current Status and ChallengesComputational LinguisticsMingqi Gao, Xinyu Hu, Xunjian Yin, et al.2025 · 153 citations
  77. Generative Verifiers: Reward Modeling as Next-Token PredictionarXiv:2408.15240Lunjun Zhang, Arian Hosseini, Hritik Bansal, et al.2024 · 152 citations
  78. Continual Relation Learning via Episodic Memory Activation and ReconsolidationAnnual Meeting of the Association for Computational Linguistics (ACL)Xu Han, Yi Dai, Tianyu Gao, et al.2020 · 152 citations
  79. Revisiting DocRED - Addressing the False Negative Problem in Relation ExtractionConference on Empirical Methods in Natural Language Processing (EMNLP)Qingyu Tan, Lu Xu, Lidong Bing, et al.2022 · 151 citations
  80. ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation LearningConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Chih-Yao Chen, Cheng-Te Li2021 · 142 citations
  81. Improving the Inference of Implicit Discourse Relations via Classifying Explicit Discourse ConnectivesConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Attapol Rutherford, Nianwen Xue2015 · 142 citations
  82. MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language FeedbackarXiv:2309.10691Xingyao Wang, Zihan Wang, Jiateng Liu, et al.2023 · 141 citations
  83. 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
  84. Self-Alignment with Instruction BacktranslationarXiv:2308.06259Xian Li, Ping Yu, Chunting Zhou, et al.2023 · 139 citations
  85. Major Life Event Extraction from Twitter based on Congratulations/Condolences Speech ActsConference on Empirical Methods in Natural Language Processing (EMNLP)Jiwei Li, Alan Ritter, Claire Cardie, et al.2014 · 129 citations
  86. Generative Judge for Evaluating AlignmentarXiv:2310.05470Junlong Li, Shichao Sun, Weizhe Yuan, et al.2023 · 125 citations
  87. Measuring Progress on Scalable Oversight for Large Language ModelsarXiv:2211.03540Samuel R. Bowman, Jeeyoon Hyun, Ethan Perez, et al.2022 · 117 citations
  88. ProcessBench: Identifying Process Errors in Mathematical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Chujie Zheng, Zhenru Zhang, Beichen Zhang, et al.2025 · 116 citations
  89. End-to-End Training of Neural Retrievers for Open-Domain Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Devendra Sachan, Mostofa Patwary, Mohammad Shoeybi, et al.2021 · 116 citations
  90. Superbizarre Is Not Superb: Derivational Morphology Improves BERT's Interpretation of Complex WordsValentin, Hofmann2021 · 102 citations
  91. SPARTQA: A Textual Question Answering Benchmark for Spatial ReasoningRoshanak Mirzaee, Hossein Rajaby Faghihi, Qiang Ning, et al.2021 · 95 citations
  92. RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model OutputsAnnual Meeting of the Association for Computational Linguistics (ACL)Afra Feyza Akyurek, Ekin Akyurek, Ashwin Kalyan, et al.2023 · 89 citations
  93. LLMs cannot find reasoning errors, but can correct them given the error locationFindings of the Association for Computational LinguisticsGladys Tyen, Hassan Mansoor, Victor Carbune, et al.2024 · 85 citations
  94. 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
  95. Large-Scale Information Extraction from Textual Definitions through Deep Syntactic and Semantic AnalysisTransactions of the Association for Computational Linguistics (TACL)Claudio Delli Bovi, Luca Telesca, Roberto Navigli2015 · 82 citations
  96. Wider and Deeper LLM Networks are Fairer LLM EvaluatorsarXiv:2308.01862Xinghua Zhang, Bowen Yu, Haiyang Yu, et al.2023 · 75 citations
  97. Weakly Supervised Training of Semantic ParsersConference on Empirical Methods in Natural Language Processing (EMNLP)Jayant Krishnamurthy, Tom Mitchell2012 · 70 citations
  98. Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoying Zhang, Baolin Peng, Ye Tian, et al.2024 · 69 citations
  99. Meta-Prompting: Enhancing Language Models with Task-Agnostic ScaffoldingarXiv:2401.12954Mirac Suzgun, Adam Tauman Kalai2024 · 62 citations
  100. Boosting Entity Linking Performance by Leveraging Unlabeled DocumentsAnnual Meeting of the Association for Computational Linguistics (ACL)Phong Le, Ivan Titov2019 · 61 citations

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