Synthetic Disinformation Attacks on Automated Fact Verification Systems. Yibing Du, Antoine Bosselut, Christopher D. Manning (2022). Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI).
ComFact: A Benchmark for Linking Contextual Commonsense Knowledge. Silin Gao, Jena D. Hwang, Saya Kanno, Hiromi Wakaki, Yuki Mitsufuji, Antoine Bosselut (2022). Findings of EMNLP.
Discovering Language-neutral Sub-networks in Multilingual Language Models. Negar Foroutan, Mohammadreza Banaei, Remi Lebret, Antoine Bosselut, Karl Aberer (2022). Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).
Conditional set generation using Seq2seq models. Aman Madaan, Dheeraj Rajagopal, Niket Tandon, Yiming Yang, Antoine Bosselut (2022). Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).
GreaseLM: Graph REASoning Enhanced Language Models for Question Answering. Xikun Zhang, Antoine Bosselut, Michihiro Yasunaga, Hongyu Ren, Percy Liang, Christopher D. Manning, Jure Leskovec (2022). Proceedings of the 10th International Conference for Learning Representations (ICLR).
Spotlight (Top 5%).
Fast Model Editing at Scale. Eric Mitchell, Charles Lin, Antoine Bosselut, Chelsea Finn, Christopher D. Manning (2022). Proceedings of the 10th International Conference for Learning Representations (ICLR).
Memory-Based Model Editing at Scale. Eric Mitchell, Charles Lin, Antoine Bosselut, Christopher D. Manning, Chelsea Finn (2022). Proceedings of the 39th International Conference on Machine Learning (ICML).
Deep Bidirectional Language-Knowledge Graph Pretraining. Michihiro Yasunaga, Antoine Bosselut, Hongyu Ren, Xikun Zhang, Christopher D. Manning, Percy Liang, Jure Leskovec (2022). Advances in Neural Information Processing Systems (NeurIPS).
End-to-End Task-Oriented Dialog Modeling with Semi-Structured Knowledge Management. Silin Gao, Ryuichi Takanobu, Antoine Bosselut, Minlie Huang (2022). IEEE/ACM Transactions on Audio Speech and Language (TASLP).
(Comet-)Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs. Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Jeff Da, Keisuke Sakaguchi, Antoine Bosselut, Yejin Choi (2021). Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI).
Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering. Antoine Bosselut, Ronan Le Bras, Yejin Choi (2021). Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI).
Edited Media Understanding Frames: Reasoning About the Intents and Implications of Visual Disinformation. Jeff Da, Maxwell Forbes, Rowan Zellers, Anthony Zheng, Jena D. Hwang, Antoine Bosselut, Yejin Choi (2021). Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL).
Analyzing Commonsense Emergence in Few-shot Knowledge Models. Jeff Da, Ronan Le Bras, Ximing Lu, Yejin Choi, Antoine Bosselut (2021). Proceedings of the 3rd Conference on Automated Knowledge Base Construction (AKBC).
Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules. Forough Arabshahi, Jennifer Lee, Antoine Bosselut, Yejin Choi, Tom Mitchell (2021). Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).
I'm Not Mad: Commonsense Implications of Negation and Contradiction. Liwei Jiang, Antoine Bosselut, Chandra Bhagavatula, Yejin Choi (2021). Proceedings of the 18th Meeting of the North American Association for Computational Linguistics (NAACL).
QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering. Michihiro Yasunaga, Hongyu Ren, Antoine Bosselut, Percy Liang, Jure Leskovec (2021). Proceedings of the 18th Meeting of the North American Association for Computational Linguistics (NAACL).
COMET: Commonsense Transformers for Automatic Knowledge Graph Construction. Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Çelikyilmaz, Yejin Choi (2019). Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL).
Counterfactual Story Reasoning and Generation. Lianhui Qin, Antoine Bosselut, Ari Holtzman, Chandra Bhagavatula, Elizabeth Clark, Yejin Choi (2019). Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP).
Modeling Naive Psychology of Characters in Simple Commonsense Stories. Hannah Rashkin, Antoine Bosselut, Maarten Sap, Kevin Knight, Yejin Choi (2018). Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL).
Simulating Action Dynamics with Neural Process Networks. Antoine Bosselut, Omer Levy, Ari Holtzman, Corin Ennis, Dieter Fox, Yejin Choi (2018). Proceedings of the 6th International Conference for Learning Representations (ICLR).
Discourse-Aware Neural Rewards for Coherent Text Generation. Antoine Bosselut, Asli Çelikyilmaz, Xiaodong He, Jianfeng Gao, Po-Sen Huang, Yejin Choi (2018). Proceedings of the 16th Annual Meeting of the North American Association for Computational Linguistics (NAACL).
Learning Prototypical Event Structure from Photo Albums. Antoine Bosselut, Jianfu Chen, David Warren, Hannaneh Hajishirzi, Yejin Choi (2016). Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL).