🔗 Who cites «General-Purpose Question-Answering with Macaw»

34 papers of our library cite it (of the 149,439 whose bibliographies we read) · 8 with a page here, the most cited first · ← back to «General-Purpose Question-Answering with Macaw»

1. BloombergGPT: A Large Language Model for FinancearXiv:2303.17564Shijie Wu, Ozan Irsoy, Steven Lu, et al.2023 · 618 citations
2. Explaining Answers with Entailment TreesConference on Empirical Methods in Natural Language Processing (EMNLP)Bhavana Dalvi, Peter Jansen, Oyvind Tafjord, et al.2021 · 211 citations
3. Minding Language Models' (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief TrackerAnnual Meeting of the Association for Computational Linguistics (ACL)Melanie Sclar, Sachin Kumar, Peter West, et al.2023 · 76 citations
4. Entailer: Answering Questions with Faithful and Truthful Chains of ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Oyvind Tafjord, Bhavana Dalvi Mishra, Peter Clark2022 · 71 citations
5. BeliefBank: Adding Memory to a Pre-Trained Language Model for a Systematic Notion of BeliefConference on Empirical Methods in Natural Language Processing (EMNLP)Nora Kassner, Oyvind Tafjord, Hinrich Schütze, et al.2021 · 62 citations
6. ARN: Analogical Reasoning on NarrativesTransactions of the Association for Computational Linguistics (TACL)Zhivar Sourati, Filip Ilievski, Pia Sommerauer, et al.2024 · 17 citations
7. From Form(s) to Meaning: Probing the Semantic Depths of Language Models Using Multisense ConsistencyComputational LinguisticsXenia Ohmer, Elia Bruni, Dieuwke Hupkes2024 · 11 citations
8. Pre-trained Language Models' Interpretation of Evaluativity Implicature: Evidence from Gradable Adjectives Usage in ContextWorkshop on Understanding Implicit and Underspecified LanguageYan Cong2022 · 2 citations

26 more papers of our library cite it; they have no page here yet.

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