Zeming Chen

According to our database, Zeming Chen authored at least 19 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2025

GeoExplorer: Active Geo-localization with Curiosity-Driven Exploration.

Li Mi, Manon Béchaz, Zeming Chen, Antoine Bosselut, Devis Tuia

CoRR, August, 2025

PERK: Long-Context Reasoning as Parameter-Efficient Test-Time Learning.

Zeming Chen, Angelika Romanou, Gail Weiss, Antoine Bosselut

CoRR, July, 2025

Mixture of Cognitive Reasoners: Modular Reasoning with Brain-Like Specialization.

Badr AlKhamissi, C. Nicolò De Sabbata, Zeming Chen, Martin Schrimpf, Antoine Bosselut

CoRR, June, 2025

INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge.

Angelika Romanou, Negar Foroutan, Anna Sotnikova, Zeming Chen, Sree Harsha Nelaturu, Shivalika Singh, Rishabh Maheshwary, Micol Altomare, Mohamed A. Haggag, Imanol Schlag, Marzieh Fadaee, Sara Hooker, Antoine Bosselut, Snegha A, Alfonso Amayuelas, Azril Hafizi Amirudin, Viraat Aryabumi, Danylo Boiko, Michael Chang, Jenny Chim, Gal Cohen, Aditya Kumar Dalmia, Abraham Diress, Sharad Duwal, Daniil Dzenhaliou, Daniel Fernando Erazo Florez, Fabian Farestam, Joseph Marvin Imperial, Shayekh Bin Islam, Perttu Isotalo, Maral Jabbarishiviari, Börje F. Karlsson, Eldar Khalilov, Christopher Klamm, Fajri Koto, Dominik Krzeminski, Gabriel Adriano de Melo, Syrielle Montariol, Yiyang Nan, Joel Niklaus, Jekaterina Novikova, Johan Samir Obando-Ceron, Debjit Paul, Esther Ploeger, Jebish Purbey, Swati Rajwal, Selvan Sunitha Ravi, Sara Rydell, Roshan Santhosh, Drishti Sharma, Marjana Prifti Skenduli, Arshia Soltani Moakhar, Bardia Soltani Moakhar, Ran Tamir, Ayush Kumar Tarun, Azmine Toushik Wasi, Thenuka Ovin Weerasinghe, Serhan Yilmaz, Mike Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Monotonicity Reasoning in the Age of Neural Foundation Models.

Zeming Chen, Qiyue Gao

J. Log. Lang. Inf., March, 2024

Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants.

Beatriz Borges, Negar Foroutan, Deniz Bayazit, Anna Sotnikova, Syrielle Montariol, Tanya Nazaretzky, Mohammadreza Banaei, Alireza Sakhaeirad, Philippe Servant, Seyed Parsa Neshaei, Jibril Frej, Angelika Romanou, Gail Weiss, Sepideh Mamooler, Zeming Chen, Simin Fan, Silin Gao, Mete Ismayilzada, Debjit Paul, Alexandre Schöpfer, Andrej Janchevski, Anja Tiede, Clarence Linden, Emanuele Troiani, Francesco Salvi, Freya Behrens, Giacomo Orsi, Giovanni Piccioli, Hadrien Sevel, Louis Coulon, Manuela Pineros-Rodriguez, Marin Bonnassies, Pierre Hellich, Puck van Gerwen, Sankalp Gambhir, Solal Pirelli, Thomas Blanchard, Timothée Callens, Toni Abi Aoun, Yannick Calvino Alonso, Yuri Cho, Alberto Silvio Chiappa, Antonio Sclocchi, Étienne Bruno, Florian Hofhammer, Gabriel Pescia, Geovani Rizk, Leello Dadi, Lucas Stoffl, Manoel Horta Ribeiro, Matthieu Bovel, Yueyang Pan, Aleksandra Radenovic, Alexandre Alahi, Alexander Mathis, Anne-Florence Bitbol, Boi Faltings, Cécile Hébert, Devis Tuia, François Maréchal, George Candea, Giuseppe Carleo, Jean-Cédric Chappelier, Nicolas Flammarion, Jean-Marie Fürbringer, Jean-Philippe Pellet, Karl Aberer, Lenka Zdeborová, Marcel Salathé, Martin Jaggi, Martin Rajman, Mathias Payer, Matthieu Wyart, Michael Gastpar, Michele Ceriotti, Ola Svensson, Olivier Lévêque, Paolo Ienne, Rachid Guerraoui, Robert West, Sanidhya Kashyap, Valerio Piazza, Viesturs Simanis, Viktor Kuncak, Volkan Cevher, Philippe Schwaller, Sacha Friedli, Patrick Jermann, Tanja Käser, Antoine Bosselut

CoRR, 2024

Discovering Knowledge-Critical Subnetworks in Pretrained Language Models.

Deniz Bayazit, Negar Foroutan, Zeming Chen, Gail Weiss, Antoine Bosselut

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

EPFL-MAKE at "Discharge Me!": An LLM System for Automatically Generating Discharge Summaries of Clinical Electronic Health Record.

Haotian Wu, Paul Boulenger, Antonin Faure, Berta Céspedes, Farouk Boukil, Nastasia Morel, Zeming Chen, Antoine Bosselut

Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, 2024

Complex Reasoning over Logical Queries on Commonsense Knowledge Graphs.

Tianqing Fang, Zeming Chen, Yangqiu Song, Antoine Bosselut

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

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

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

CoRR, 2023

RECKONING: Reasoning through Dynamic Knowledge Encoding.

Zeming Chen, Gail Weiss, Eric Mitchell, Asli Celikyilmaz, Antoine Bosselut

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Mitigating Label Biases for In-context Learning.

Yu Fei, Yifan Hou, Zeming Chen, Antoine Bosselut

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

DISCO: Distilling Counterfactuals with Large Language Models.

Zeming Chen, Qiyue Gao, Antoine Bosselut, Ashish Sabharwal, Kyle Richardson

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

DISCO: Distilling Phrasal Counterfactuals with Large Language Models.

Zeming Chen, Qiyue Gao, Kyle Richardson, Antoine Bosselut, Ashish Sabharwal

CoRR, 2022

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

Zeming Chen, Qiyue Gao

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Probing Linguistic Information for Logical Inference in Pre-trained Language Models.

Zeming Chen, Qiyue Gao

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Monotonicity Marking from Universal Dependency Trees.

Zeming Chen, Qiyue Gao

CoRR, 2021

Attentive Tree-structured Network for Monotonicity Reasoning.

Zeming Chen

CoRR, 2021

NeuralLog: Natural Language Inference with Joint Neural and Logical Reasoning.

Zeming Chen, Qiyue Gao, Lawrence S. Moss

Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics, 2021