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Zeming Chen

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Mixed Pseudo Labels for Semi-Supervised Object Detection

Dec 12, 2023
Zeming Chen, Wenwei Zhang, Xinjiang Wang, Kai Chen, Zhi Wang

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MEDITRON-70B: Scaling Medical Pretraining for Large Language Models

Nov 27, 2023
Zeming Chen, Alejandro Hernández Cano, Angelika Romanou, Antoine Bonnet, Kyle Matoba, Francesco Salvi, Matteo Pagliardini, Simin Fan, Andreas Köpf, Amirkeivan Mohtashami, Alexandre Sallinen, Alireza Sakhaeirad, Vinitra Swamy, Igor Krawczuk, Deniz Bayazit, Axel Marmet, Syrielle Montariol, Mary-Anne Hartley, Martin Jaggi, Antoine Bosselut

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Discovering Knowledge-Critical Subnetworks in Pretrained Language Models

Oct 04, 2023
Deniz Bayazit, Negar Foroutan, Zeming Chen, Gail Weiss, Antoine Bosselut

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Mitigating Label Biases for In-context Learning

Jun 10, 2023
Yu Fei, Yifan Hou, Zeming Chen, Antoine Bosselut

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RECKONING: Reasoning through Dynamic Knowledge Encoding

May 23, 2023
Zeming Chen, Gail Weiss, Eric Mitchell, Asli Celikyilmaz, Antoine Bosselut

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DISCO: Distilling Phrasal Counterfactuals with Large Language Models

Dec 20, 2022
Zeming Chen, Qiyue Gao, Kyle Richardson, Antoine Bosselut, Ashish Sabharwal

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Curriculum: A Broad-Coverage Benchmark for Linguistic Phenomena in Natural Language Understanding

Apr 13, 2022
Zeming Chen, Qiyue Gao

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Probing Linguistic Information For Logical Inference In Pre-trained Language Models

Dec 03, 2021
Zeming Chen, Qiyue Gao

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NeuralLog: Natural Language Inference with Joint Neural and Logical Reasoning

Jun 10, 2021
Zeming Chen, Qiyue Gao, Lawrence S. Moss

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