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Papers

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2023 EMNLP
2023 EMNLP
We Need to Talk About Reproducibility in NLP Model Comparison
Yan Xue, Xuefei Cao, Xingli Yang et al.
2023 EMNLP
We’re Afraid Language Models Aren’t Modeling Ambiguity
Alisa Liu, Zhaofeng Wu, Julian Michael et al.
2023 EMNLP
What Makes Chain-of-Thought Prompting Effective? A Counterfactual Study
Aman Madaan, Katherine Hermann, Amir Yazdanbakhsh
2023 EMNLP
2023 EMNLP
When and Why Does Bias Mitigation Work?
Abhilasha Ravichander, Joe Stacey, Marek Rei
2023 EMNLP
2023 EMNLP
When Do Decompositions Help for Machine Reading?
Kangda Wei, Dawn Lawrie, Benjamin Van Durme et al.
2023 EMNLP
When it Rains, it Pours: Modeling Media Storms and the News Ecosystem
Benjamin Litterer, David Jurgens, Dallas Card
2023 EMNLP
2023 EMNLP
2023 EMNLP
Where to start? Analyzing the potential value of intermediate models
Leshem Choshen, Elad Venezian, Shachar Don-Yehiya et al.
2023 EMNLP
Whispering LLaMA: A Cross-Modal Generative Error Correction Framework for Speech Recognition
Srijith Radhakrishnan, Chao-Han Huck Yang, Sumeer Ahmad Khan et al.
2023 EMNLP