---
title: "Antoine Bosselut — all works — Elamur Research"
description: "All 27 works of Antoine Bosselut in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
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---
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# Antoine Bosselut — all works

27 works · [← Antoine Bosselut](https://md.research.elamur.ai/free/en/authors/antoine-bosselut/)

1. [**On the Opportunities and Risks of Foundation Models arXiv:2108.07258**Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.*2021 · 3,160 citations*](https://md.research.elamur.ai/free/en/papers/bommasani-2021-opportunities-risks-foundation-models/)
2. **[COMET: Commonsense Transformers for Automatic Knowledge Graph Construction](https://md.research.elamur.ai/free/en/papers/bosselut-2019-comet-commonsense-transformers-automatic-knowledge/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Antoine Bosselut, Hannah Rashkin, Maarten Sap, et al.*2019 · 1,294 citations*
3. **[QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering ↗](https://aclanthology.org/2021.naacl-main.45/) Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Michihiro Yasunaga et al.*2021 · 742 citations*
4. **[Deep Communicating Agents for Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/celikyilmaz-2018-deep-communicating-agents-abstractive-summarization/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Asli Celikyilmaz, Antoine Bosselut, Xiaodong He, et al.*2018 · 440 citations*
5. **[The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics](https://md.research.elamur.ai/free/en/papers/gehrmann-2021-gem-benchmark-natural-language-generation/) [Workshop on Generation, Evaluation and Metrics (GEM)](https://md.research.elamur.ai/free/en/venues/gem/)**Sebastian Gehrmann, Tosin Adewumi, Karmanya Aggarwal, et al.*2021 · 369 citations*
6. **[Fast Model Editing at Scale ↗](https://arxiv.org/abs/2110.11309) arXiv:2110.11309 · no summary yet**Eric Mitchell et al.*2021 · 332 citations*
7. **[Learning to Write with Cooperative Discriminators](https://md.research.elamur.ai/free/en/papers/holtzman-2018-learning-write-cooperative-discriminators/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ari Holtzman, Jan Buys, Maxwell Forbes, et al.*2018 · 303 citations*
8. **[Memory-Based Model Editing at Scale ↗](https://arxiv.org/abs/2206.06520) arXiv:2206.06520 · no summary yet**Eric Mitchell et al.*2022 · 255 citations*
9. [**COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs**Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, et al.*Mova's core list · 239 citations*](https://md.research.elamur.ai/free/en/papers/hwang-2020-comet-atomic-2020-symbolic-neural/)
10. **[Counterfactual Story Reasoning and Generation ↗](https://aclanthology.org/D19-1509/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Lianhui Qin et al.*2019 · 187 citations*
11. **[Deep Bidirectional Language-Knowledge Graph Pretraining ↗](https://doi.org/10.52202/068431-2704) neural information processing systems · no summary yet**Michihiro Yasunaga et al.*2022 · 182 citations*
12. [**REFINER: Reasoning Feedback on Intermediate Representations arXiv:2304.01904**Debjit Paul, Mete Ismayilzada, Maxime Peyrard, et al.*2023 · 156 citations*](https://md.research.elamur.ai/free/en/papers/paul-2023-refiner-reasoning-feedback-intermediate-representations/)
13. **[Modeling Naive Psychology of Characters in Simple Commonsense Stories ↗](https://aclanthology.org/P18-1213/) Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Hannah Rashkin et al.*2018 · 144 citations*
14. **[Reasoning about Actions and State Changes by Injecting Commonsense Knowledge ↗](https://aclanthology.org/D18-1006/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Niket Tandon et al.*2018 · 129 citations*
15. **[Commonsense Reasoning for Natural Language Processing ↗](https://aclanthology.org/2020.acl-tutorials.7/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts · no summary yet**Maarten Sap et al.*2020 · 118 citations*
16. **[Discourse-Aware Neural Rewards for Coherent Text Generation ↗](https://aclanthology.org/N18-1016/) Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) · no summary yet**Antoine Bosselut et al.*2018 · 111 citations*
17. **[GreaseLM: Graph REASoning Enhanced Language Models for Question Answering ↗](https://arxiv.org/abs/2201.08860) arXiv (Cornell University) · no summary yet**Xikun Zhang et al.*2022 · 106 citations*
18. [**Simulating Action Dynamics with Neural Process Networks arXiv:1711.05313**Antoine Bosselut, Omer Levy, Ari Holtzman, et al.*2017 · 102 citations*](https://md.research.elamur.ai/free/en/papers/bosselut-2017-simulating-action-dynamics-neural-process/)
19. **[Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning](https://md.research.elamur.ai/free/en/papers/qin-2020-back-future-unsupervised-backprop-based/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Lianhui Qin, Vered Shwartz, Peter West, et al.*2020 · 86 citations*
20. **[Mitigating Label Biases for In-context Learning](https://md.research.elamur.ai/free/en/papers/fei-2023-mitigating-label-biases-context-learning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yu Fei, Yifan Hou, Zeming Chen, et al.*2023 · 80 citations*
21. **[Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning](https://md.research.elamur.ai/free/en/papers/paul-2024-making-reasoning-matter-measuring-improving/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Debjit Paul, Robert West, Antoine Bosselut, et al.*2024 · 79 citations*
22. **[Synthetic Disinformation Attacks on Automated Fact Verification Systems ↗](https://doi.org/10.1609/aaai.v36i10.21302) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Yibing Du, Antoine Bosselut, Christopher D. Manning*2022 · 48 citations*
23. **[RECKONING: Reasoning through Dynamic Knowledge Encoding](https://md.research.elamur.ai/free/en/papers/chen-2023-reckoning-reasoning-through-dynamic-knowledge/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Zeming Chen, Gail Weiss, Eric Mitchell, et al.*2023 · 19 citations*
24. **[Efficient Tool Use with Chain-of-Abstraction Reasoning](https://md.research.elamur.ai/free/en/papers/gao-2025-efficient-tool-use-chain-abstraction/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Silin Gao, Jane Dwivedi-Yu, Ping Yu, et al.*2025 · 13 citations*
25. **[Parity-Aware Byte-Pair Encoding: Improving Cross-lingual Fairness in Tokenization](https://md.research.elamur.ai/free/en/papers/foroutan-2026-parity-aware-byte-pair-encoding/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Negar Foroutan, Clara Meister, Debjit Paul, et al.*2026 · 12 citations*
26. **[From Language to Cognition: How LLMs Outgrow the Human Language Network](https://md.research.elamur.ai/free/en/papers/alkhamissi-2025-language-cognition-how-llms-outgrow/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Badr AlKhamissi, Greta Tuckute, Yingtian Tang, et al.*2025 · 11 citations*
27. **[RLMEval: Evaluating Research-Level Neural Theorem Proving ↗](https://aclanthology.org/2025.findings-emnlp.581/) Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yet**Auguste Poiroux, Antoine Bosselut, Viktor Kunčak*2025 · 5 citations*