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Poor Man's Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference


Jan 28, 2023
Vilém Zouhar, Shehzaad Dhuliawala, Wangchunshu Zhou, Nico Daheim, Tom Kocmi, Yuchen Eleanor Jiang, Mrinmaya Sachan

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* Accepted at EACL23 (main) 

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Opportunities and Challenges in Neural Dialog Tutoring


Jan 24, 2023
Jakub Macina, Nico Daheim, Lingzhi Wang, Tanmay Sinha, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan

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* Accepted to EACL 2023 (main conference) 

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Understanding Stereotypes in Language Models: Towards Robust Measurement and Zero-Shot Debiasing


Dec 20, 2022
Justus Mattern, Zhijing Jin, Mrinmaya Sachan, Rada Mihalcea, Bernhard Schölkopf

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Distilling Multi-Step Reasoning Capabilities of Large Language Models into Smaller Models via Semantic Decompositions


Dec 01, 2022
Kumar Shridhar, Alessandro Stolfo, Mrinmaya Sachan

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Automatic Generation of Socratic Subquestions for Teaching Math Word Problems


Nov 23, 2022
Kumar Shridhar, Jakub Macina, Mennatallah El-Assady, Tanmay Sinha, Manu Kapur, Mrinmaya Sachan

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* Kumar Shridhar and Jakub Macina contributed equally to this work. Accepted at the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022). Code available: https://github.com/eth-nlped/scaffolding-generation 

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Autoregressive Structured Prediction with Language Models


Nov 17, 2022
Tianyu Liu, Yuchen Jiang, Nicholas Monath, Ryan Cotterell, Mrinmaya Sachan

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* EMNLP 2022 (findings) 

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Beyond prompting: Making Pre-trained Language Models Better Zero-shot Learners by Clustering Representations


Oct 29, 2022
Yu Fei, Ping Nie, Zhao Meng, Roger Wattenhofer, Mrinmaya Sachan

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* Accepted to EMNLP 2022 

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Differentially Private Language Models for Secure Data Sharing


Oct 26, 2022
Justus Mattern, Zhijing Jin, Benjamin Weggenmann, Bernhard Schoelkopf, Mrinmaya Sachan

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* Accepted at EMNLP 2022 

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