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![]() RewriteLM: An Instruction-Tuned Large Language Model for Text RewritingAAAI Conference on Artificial Intelligence (AAAI), 2023 |
![]() Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs
without Fine-tuningConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Ximing Lu Faeze Brahman Peter West Jaehun Jang Khyathi Chandu ...Bill Yuchen Lin Skyler Hallinan Xiang Ren Sean Welleck Yejin Choi |
![]() SummIt: Iterative Text Summarization via ChatGPTConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
![]() LM vs LM: Detecting Factual Errors via Cross ExaminationConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
![]() CRITIC: Large Language Models Can Self-Correct with Tool-Interactive
CritiquingInternational Conference on Learning Representations (ICLR), 2023 |
![]() CoEdIT: Text Editing by Task-Specific Instruction TuningConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
![]() RL4F: Generating Natural Language Feedback with Reinforcement Learning
for Repairing Model OutputsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 |
![]() Zero-shot Faithful Factual Error CorrectionAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 |
![]() Learning to Reason and Memorize with Self-NotesNeural Information Processing Systems (NeurIPS), 2023 |
![]() Self-Refine: Iterative Refinement with Self-FeedbackNeural Information Processing Systems (NeurIPS), 2023 |
![]() Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and
the Case of Information ExtractionConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
![]() DIFFQG: Generating Questions to Summarize Factual ChangesConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023 |
![]() CatAlyst: Domain-Extensible Intervention for Preventing Task
Procrastination Using Large Generative ModelsInternational Conference on Human Factors in Computing Systems (CHI), 2023 |
![]() Toolformer: Language Models Can Teach Themselves to Use ToolsNeural Information Processing Systems (NeurIPS), 2023 |
![]() On Improving Summarization Factual Consistency from Natural Language
FeedbackAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 |
![]() Nonparametric Masked Language ModelingAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 |
![]() An Inclusive Notion of TextAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 Ilia Kuznetsov Iryna Gurevych |
![]() Generating Sequences by Learning to Self-CorrectInternational Conference on Learning Representations (ICLR), 2022 |
![]() When Life Gives You Lemons, Make Cherryade: Converting Feedback from Bad
Responses into Good LabelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022 |
![]() RARR: Researching and Revising What Language Models Say, Using Language
ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 |
![]() EditEval: An Instruction-Based Benchmark for Text ImprovementsConference on Computational Natural Language Learning (CoNLL), 2022 |