🔗 Who cites «Embracing Ambiguity: Shifting the Training Target of NLI Models»

21 papers of our library cite it (of the 141,840 whose bibliographies we read) · 4 with a page here, the most cited first · ← back to «Embracing Ambiguity: Shifting the Training Target of NLI Models»

We're Afraid Language Models Aren't Modeling AmbiguityConference on Empirical Methods in Natural Language Processing (EMNLP)Alisa Liu, Zhaofeng Wu, Julian Michael, et al.2023 · 108 citations
Distributed NLI: Learning to Predict Human Opinion Distributions for Language ReasoningFindings of the Association for Computational LinguisticsXiang Zhou, Yixin Nie, Mohit Bansal2022 · 35 citations
Capture Human Disagreement Distributions by Calibrated Networks for Natural Language InferenceFindings of the Association for Computational LinguisticsYuxia Wang, Minghan Wang, Yimeng Chen, et al.2022 · 15 citations
Mitigating Dataset Artifacts in Natural Language Inference Through Automatic Contextual Data Augmentation and Learning OptimizationLanguage Resources and Evaluation Conference (LREC)Michail Mersinias, Panagiotis Valvis2022 · 3 citations

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

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