Antoine Bosselut

ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 117

Top Venues

Publications

Debjit Paul, Robert West, Antoine Bosselut, Boi Faltings
Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning. CoRR (2024)
Tim R. Davidson, Veniamin Veselovsky, Martin Josifoski, Maxime Peyrard, Antoine Bosselut, Michal Kosinski, Robert West
Evaluating Language Model Agency through Negotiations. CoRR (2024)
Antoine Magron, Anna Dai, Mike Zhang, Syrielle Montariol, Antoine Bosselut
JOBSKAPE: A Framework for Generating Synthetic Job Postings to Enhance Skill Matching. CoRR (2024)
Tianqing Fang, Zeming Chen, Yangqiu Song, Antoine Bosselut
Complex Reasoning over Logical Queries on Commonsense Knowledge Graphs. ACL (1) (2024)
Shaobo Cui, Lazar Milikic, Yiyang Feng, Mete Ismayilzada, Debjit Paul, Antoine Bosselut, Boi Faltings
Exploring Defeasibility in Causal Reasoning. ACL (Findings) (2024)
Silin Gao, Mete Ismayilzada, Mengjie Zhao, Hiromi Wakaki, Yuki Mitsufuji, Antoine Bosselut
DiffuCOMET: Contextual Commonsense Knowledge Diffusion. ACL (1) (2024)
Khanh Cao Nguyen, Mike Zhang, Syrielle Montariol, Antoine Bosselut
Rethinking Skill Extraction in the Job Market Domain using Large Language Models. CoRR (2024)
Hiromi Wakaki, Yuki Mitsufuji, Yoshinori Maeda, Yukiko Nishimura, Silin Gao, Mengjie Zhao, Keiichi Yamada, Antoine Bosselut
ComperDial: Commonsense Persona-grounded Dialogue Dataset and Benchmark. CoRR (2024)
Li Mi, Chang Xu, Javiera Castillo-Navarro, Syrielle Montariol, Wen Yang, Antoine Bosselut, Devis Tuia
ConGeo: Robust Cross-view Geo-localization across Ground View Variations. CoRR (2024)
Karina Halevy, Anna Sotnikova, Badr AlKhamissi, Syrielle Montariol, Antoine Bosselut
"Flex Tape Can't Fix That": Bias and Misinformation in Edited Language Models. CoRR (2024)
Li Mi, Syrielle Montariol, Javiera Castillo Navarro, Xianjie Dai, Antoine Bosselut, Devis Tuia
ConVQG: Contrastive Visual Question Generation with Multimodal Guidance. AAAI (2024)
Mina Lee, Katy Ilonka Gero, John Joon Young Chung, Simon Buckingham Shum, Vipul Raheja, Hua Shen, Subhashini Venugopalan, Thiemo Wambsganss, David Zhou, Emad A. Alghamdi, Tal August, Avinash Bhat, Madiha Zahrah Choksi, Senjuti Dutta, Jin L. C. Guo, Md. Naimul Hoque, Yewon Kim, Simon Knight, Seyed Parsa Neshaei, Antonette Shibani, Disha Shrivastava, Lila Shroff, Agnia Sergeyuk, Jessi Stark, Sarah Sterman, Sitong Wang, Antoine Bosselut, Daniel Buschek, Joseph Chee Chang, Sherol Chen, Max Kreminski, Joonsuk Park, Roy Pea, Eugenia Ha Rim Rho, Zejiang Shen, Pao Siangliulue
A Design Space for Intelligent and Interactive Writing Assistants. CHI (2024)
Auguste Poiroux, Gail Weiss, Viktor Kuncak, Antoine Bosselut
Improving Autoformalization using Type Checking. CoRR (2024)
Silin Gao, Jane Dwivedi-Yu, Ping Yu, Xiaoqing Ellen Tan, Ramakanth Pasunuru, Olga Golovneva, Koustuv Sinha, Asli Celikyilmaz, Antoine Bosselut, Tianlu Wang
Efficient Tool Use with Chain-of-Abstraction Reasoning. CoRR (2024)
Shaobo Cui, Lazar Milikic, Yiyang Feng, Mete Ismayilzada, Debjit Paul, Antoine Bosselut, Boi Faltings
δ-CAUSAL: Exploring Defeasibility in Causal Reasoning. CoRR (2024)
Jibril Frej, Anna Dai, Syrielle Montariol, Antoine Bosselut, Tanja Käser
Course Recommender Systems Need to Consider the Job Market. CoRR (2024)
Jibril Frej, Anna Dai, Syrielle Montariol, Antoine Bosselut, Tanja Käser
Course Recommender Systems Need to Consider the Job Market. SIGIR (2024)
Li Mi, Syrielle Montariol, Javiera Castillo-Navarro, Xianjie Dai, Antoine Bosselut, Devis Tuia
ConVQG: Contrastive Visual Question Generation with Multimodal Guidance. CoRR (2024)
Tianqing Fang, Zeming Chen, Yangqiu Song, Antoine Bosselut
Complex Reasoning over Logical Queries on Commonsense Knowledge Graphs. CoRR (2024)
Mina Lee, Katy Ilonka Gero, John Joon Young Chung, Simon Buckingham Shum, Vipul Raheja, Hua Shen, Subhashini Venugopalan, Thiemo Wambsganss, David Zhou, Emad A. Alghamdi, Tal August, Avinash Bhat, Madiha Zahrah Choksi, Senjuti Dutta, Jin L. C. Guo, Md. Naimul Hoque, Yewon Kim, Simon Knight, Seyed Parsa Neshaei, Agnia Sergeyuk, Antonette Shibani, Disha Shrivastava, Lila Shroff, Jessi Stark, Sarah Sterman, Sitong Wang, Antoine Bosselut, Daniel Buschek, Joseph Chee Chang, Sherol Chen, Max Kreminski, Joonsuk Park, Roy Pea, Eugenia H. Rho, Shannon Zejiang Shen, Pao Siangliulue
A Design Space for Intelligent and Interactive Writing Assistants. CoRR (2024)
Debjit Paul, Mete Ismayilzada, Maxime Peyrard, Beatriz Borges, Antoine Bosselut, Robert West, Boi Faltings
REFINER: Reasoning Feedback on Intermediate Representations. EACL (1) (2024)
Badr AlKhamissi, Greta Tuckute, Antoine Bosselut, Martin Schrimpf
Brain-Like Language Processing via a Shallow Untrained Multihead Attention Network. CoRR (2024)
Silin Gao, Mete Ismayilzada, Mengjie Zhao, Hiromi Wakaki, Yuki Mitsufuji, Antoine Bosselut
DiffuCOMET: Contextual Commonsense Knowledge Diffusion. CoRR (2024)
Mete Ismayilzada, Debjit Paul, Syrielle Montariol, Mor Geva, Antoine Bosselut
CRoW: Benchmarking Commonsense Reasoning in Real-World Tasks. EMNLP (2023)
Silin Gao, Beatriz Borges, Soyoung Oh, Deniz Bayazit, Saya Kanno, Hiromi Wakaki, Yuki Mitsufuji, Antoine Bosselut
PeaCoK: Persona Commonsense Knowledge for Consistent and Engaging Narratives. ACL (1) (2023)
Yifan Hou, Jiaoda Li, Yu Fei, Alessandro Stolfo, Wangchunshu Zhou, Guangtao Zeng, Antoine Bosselut, Mrinmaya Sachan
Towards a Mechanistic Interpretation of Multi-Step Reasoning Capabilities of Language Models. EMNLP (2023)
Debjit Paul, Mete Ismayilzada, Maxime Peyrard, Beatriz Borges, Antoine Bosselut, Robert West, Boi Faltings
REFINER: Reasoning Feedback on Intermediate Representations. CoRR (2023)
Yifan Hou, Jiaoda Li, Yu Fei, Alessandro Stolfo, Wangchunshu Zhou, Guangtao Zeng, Antoine Bosselut, Mrinmaya Sachan
Towards a Mechanistic Interpretation of Multi-Step Reasoning Capabilities of Language Models. CoRR (2023)
Yu Fei, Yifan Hou, Zeming Chen, Antoine Bosselut
Mitigating Label Biases for In-context Learning. CoRR (2023)
Silin Gao, Beatriz Borges, Soyoung Oh, Deniz Bayazit, Saya Kanno, Hiromi Wakaki, Yuki Mitsufuji, Antoine Bosselut
PeaCoK: Persona Commonsense Knowledge for Consistent and Engaging Narratives. CoRR (2023)
Negar Foroutan, Mohammadreza Banaei, Karl Aberer, Antoine Bosselut
Breaking the Language Barrier: Improving Cross-Lingual Reasoning with Structured Self-Attention. CoRR (2023)
Negar Foroutan, Mohammadreza Banaei, Karl Aberer, Antoine Bosselut
Breaking the Language Barrier: Improving Cross-Lingual Reasoning with Structured Self-Attention. EMNLP (Findings) (2023)
Beatriz Borges, Niket Tandon, Tanja Käser, Antoine Bosselut
Let Me Teach You: Pedagogical Foundations of Feedback for Language Models. CoRR (2023)
Weiqi Wang, Tianqing Fang, Wenxuan Ding, Baixuan Xu, Xin Liu, Yangqiu Song, Antoine Bosselut
CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question Answering. CoRR (2023)
Weiqi Wang, Tianqing Fang, Wenxuan Ding, Baixuan Xu, Xin Liu, Yangqiu Song, Antoine Bosselut
CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question Answering. EMNLP (Findings) (2023)
Zeming Chen, Qiyue Gao, Antoine Bosselut, Ashish Sabharwal, Kyle Richardson
DISCO: Distilling Counterfactuals with Large Language Models. ACL (1) (2023)
Yu Fei, Yifan Hou, Zeming Chen, Antoine Bosselut
Mitigating Label Biases for In-context Learning. ACL (1) (2023)
Zeming Chen, Gail Weiss, Eric Mitchell, Asli Celikyilmaz, Antoine Bosselut
RECKONING: Reasoning through Dynamic Knowledge Encoding. NeurIPS (2023)
Angelika Romanou, Syrielle Montariol, Debjit Paul, Leo Laugier, Karl Aberer, Antoine Bosselut
CRAB: Assessing the Strength of Causal Relationships Between Real-world Events. EMNLP (2023)
Mete Ismayilzada, Debjit Paul, Syrielle Montariol, Mor Geva, Antoine Bosselut
CRoW: Benchmarking Commonsense Reasoning in Real-World Tasks. CoRR (2023)
Mete Ismayilzada, Antoine Bosselut
kogito: A Commonsense Knowledge Inference Toolkit. EACL (System Demonstrations) (2023)
Khai Loong Aw, Syrielle Montariol, Badr AlKhamissi, Martin Schrimpf, Antoine Bosselut
Instruction-tuning Aligns LLMs to the Human Brain. CoRR (2023)
Deniz Bayazit, Negar Foroutan, Zeming Chen, Gail Weiss, Antoine Bosselut
Discovering Knowledge-Critical Subnetworks in Pretrained Language Models. CoRR (2023)
Angelika Romanou, Syrielle Montariol, Debjit Paul, Leo Laugier, Karl Aberer, Antoine Bosselut
CRAB: Assessing the Strength of Causal Relationships Between Real-world Events. CoRR (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
MEDITRON-70B: Scaling Medical Pretraining for Large Language Models. CoRR (2023)
Zeming Chen, Gail Weiss, Eric Mitchell, Asli Celikyilmaz, Antoine Bosselut
RECKONING: Reasoning through Dynamic Knowledge Encoding. CoRR (2023)
Eric Mitchell, Charles Lin, Antoine Bosselut, Chelsea Finn, Christopher D. Manning
Fast Model Editing at Scale. ICLR (2022)
Xikun Zhang, Antoine Bosselut, Michihiro Yasunaga, Hongyu Ren, Percy Liang, Christopher D. Manning, Jure Leskovec
GreaseLM: Graph REASoning Enhanced Language Models for Question Answering. CoRR (2022)
Xikun Zhang, Antoine Bosselut, Michihiro Yasunaga, Hongyu Ren, Percy Liang, Christopher D. Manning, Jure Leskovec
GreaseLM: Graph REASoning Enhanced Language Models. ICLR (2022)
Yibing Du, Antoine Bosselut, Christopher D. Manning
Synthetic Disinformation Attacks on Automated Fact Verification Systems. CoRR (2022)
Negar Foroutan, Mohammadreza Banaei, Rémi Lebret, Antoine Bosselut, Karl Aberer
Discovering Language-neutral Sub-networks in Multilingual Language Models. EMNLP (2022)
Silin Gao, Ryuichi Takanobu, Antoine Bosselut, Minlie Huang
End-to-End Task-Oriented Dialog Modeling With Semi-Structured Knowledge Management. IEEE ACM Trans. Audio Speech Lang. Process. 30 (2022)
Aman Madaan, Dheeraj Rajagopal, Niket Tandon, Yiming Yang, Antoine Bosselut
Conditional set generation using Seq2seq models. EMNLP (2022)
Negar Foroutan, Mohammadreza Banaei, Rémi Lebret, Antoine Bosselut, Karl Aberer
Discovering Language-neutral Sub-networks in Multilingual Language Models. CoRR (2022)
Mete Ismayilzada, Antoine Bosselut
kogito: A Commonsense Knowledge Inference Toolkit. CoRR (2022)
Zeming Chen, Qiyue Gao, Kyle Richardson, Antoine Bosselut, Ashish Sabharwal
DISCO: Distilling Phrasal Counterfactuals with Large Language Models. CoRR (2022)
Silin Gao, Jena D. Hwang, Saya Kanno, Hiromi Wakaki, Yuki Mitsufuji, Antoine Bosselut
ComFact: A Benchmark for Linking Contextual Commonsense Knowledge. CoRR (2022)
Silin Gao, Jena D. Hwang, Saya Kanno, Hiromi Wakaki, Yuki Mitsufuji, Antoine Bosselut
ComFact: A Benchmark for Linking Contextual Commonsense Knowledge. EMNLP (Findings) (2022)
Yibing Du, Antoine Bosselut, Christopher D. Manning
Synthetic Disinformation Attacks on Automated Fact Verification Systems. AAAI (2022)
Eric Mitchell, Charles Lin, Antoine Bosselut, Christopher D. Manning, Chelsea Finn
Memory-Based Model Editing at Scale. ICML (2022)
Michihiro Yasunaga, Antoine Bosselut, Hongyu Ren, Xikun Zhang, Christopher D. Manning, Percy Liang, Jure Leskovec
Deep Bidirectional Language-Knowledge Graph Pretraining. CoRR (2022)
Michihiro Yasunaga, Antoine Bosselut, Hongyu Ren, Xikun Zhang, Christopher D. Manning, Percy Liang, Jure Leskovec
Deep Bidirectional Language-Knowledge Graph Pretraining. NeurIPS (2022)
Aman Madaan, Dheeraj Rajagopal, Niket Tandon, Yiming Yang, Antoine Bosselut
Conditional set generation using Seq2seq models. CoRR (2022)
Eric Mitchell, Charles Lin, Antoine Bosselut, Christopher D. Manning, Chelsea Finn
Memory-Based Model Editing at Scale. CoRR (2022)
Forough Arabshahi, Jennifer Lee, Antoine Bosselut, Yejin Choi, Tom M. Mitchell
Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules. EMNLP (1) (2021)
Jeff Da, Maxwell Forbes, Rowan Zellers, Anthony Zheng, Jena D. Hwang, Antoine Bosselut, Yejin Choi
Edited Media Understanding Frames: Reasoning About the Intent and Implications of Visual Misinformation. ACL/IJCNLP (1) (2021)
Saadia Gabriel, Antoine Bosselut, Jeff Da, Ari Holtzman, Jan Buys, Kyle Lo, Asli Celikyilmaz, Yejin Choi
Discourse Understanding and Factual Consistency in Abstractive Summarization. EACL (2021)
Jeff Da, Ronan Le Bras, Ximing Lu, Yejin Choi, Antoine Bosselut
Understanding Few-Shot Commonsense Knowledge Models. CoRR (2021)
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri S. Chatterji, Annie S. Chen, Kathleen Creel, Jared Quincy Davis, Dorottya Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren Gillespie, Karan Goel, Noah D. Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark S. Krass, Ranjay Krishna, Rohith Kuditipudi, et al.
On the Opportunities and Risks of Foundation Models. CoRR (2021)
Liwei Jiang, Antoine Bosselut, Chandra Bhagavatula, Yejin Choi
"I'm Not Mad": Commonsense Implications of Negation and Contradiction. CoRR (2021)
Michihiro Yasunaga, Hongyu Ren, Antoine Bosselut, Percy Liang, Jure Leskovec
QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering. NAACL-HLT (2021)
Yue Dong, Chandra Bhagavatula, Ximing Lu, Jena D. Hwang, Antoine Bosselut, Jackie Chi Kit Cheung, Yejin Choi
On-the-Fly Attention Modulation for Neural Generation. ACL/IJCNLP (Findings) (2021)
Antoine Bosselut, Ronan Le Bras, Yejin Choi
Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering. AAAI (2021)
Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Jeff Da, Keisuke Sakaguchi, Antoine Bosselut, Yejin Choi
(Comet-) Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs. AAAI (2021)
Sebastian Gehrmann, Tosin P. Adewumi, Karmanya Aggarwal, Pawan Sasanka Ammanamanchi, Aremu Anuoluwapo, Antoine Bosselut, Khyathi Raghavi Chandu, Miruna-Adriana Clinciu, Dipanjan Das, Kaustubh D. Dhole, Wanyu Du, Esin Durmus, Ondrej Dusek, Chris Emezue, Varun Gangal, Cristina Garbacea, Tatsunori Hashimoto, Yufang Hou, Yacine Jernite, Harsh Jhamtani, Yangfeng Ji, Shailza Jolly, Dhruv Kumar, Faisal Ladhak, Aman Madaan, Mounica Maddela, Khyati Mahajan, Saad Mahamood, Bodhisattwa Prasad Majumder, Pedro Henrique Martins, Angelina McMillan-Major, Simon Mille, Emiel van Miltenburg, Moin Nadeem, Shashi Narayan, Vitaly Nikolaev, Rubungo Andre Niyongabo, Salomey Osei, Ankur P. Parikh, Laura Perez-Beltrachini, Niranjan Ramesh Rao, Vikas Raunak, Juan Diego Rodriguez, Sashank Santhanam, João Sedoc, Thibault Sellam, Samira Shaikh, Anastasia Shimorina, Marco Antonio Sobrevilla Cabezudo, Hendrik Strobelt, Nishant Subramani, Wei Xu, Diyi Yang, Akhila Yerukola, Jiawei Zhou
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics. CoRR (2021)
Forough Arabshahi, Jennifer Lee, Antoine Bosselut, Yejin Choi, Tom M. Mitchell
Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules. CoRR (2021)
Michihiro Yasunaga, Hongyu Ren, Antoine Bosselut, Percy Liang, Jure Leskovec
QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering. CoRR (2021)
Jeff Da, Ronan Le Bras, Ximing Lu, Yejin Choi, Antoine Bosselut
Analyzing Commonsense Emergence in Few-shot Knowledge Models. AKBC (2021)
Yue Dong, Chandra Bhagavatula, Ximing Lu, Jena D. Hwang, Antoine Bosselut, Jackie Chi Kit Cheung, Yejin Choi
On-the-Fly Attention Modularization for Neural Generation. CoRR (2021)
Eric Mitchell, Charles Lin, Antoine Bosselut, Chelsea Finn, Christopher D. Manning
Fast Model Editing at Scale. CoRR (2021)
Liwei Jiang, Antoine Bosselut, Chandra Bhagavatula, Yejin Choi
"I'm Not Mad": Commonsense Implications of Negation and Contradiction. NAACL-HLT (2021)
Jeff Da, Maxwell Forbes, Rowan Zellers, Anthony Zheng, Jena D. Hwang, Antoine Bosselut, Yejin Choi
Edited Media Understanding: Reasoning About Implications of Manipulated Images. CoRR (2020)
Chaitanya Malaviya, Chandra Bhagavatula, Antoine Bosselut, Yejin Choi
Commonsense Knowledge Base Completion with Structural and Semantic Context. AAAI (2020)
Maarten Sap, Vered Shwartz, Antoine Bosselut, Yejin Choi, Dan Roth
Commonsense Reasoning for Natural Language Processing. ACL (tutorial) (2020)
Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Jeff Da, Keisuke Sakaguchi, Antoine Bosselut, Yejin Choi
COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs. CoRR (2020)
Lianhui Qin, Vered Shwartz, Peter West, Chandra Bhagavatula, Jena D. Hwang, Ronan Le Bras, Antoine Bosselut, Yejin Choi
Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning. CoRR (2020)
Aida Amini, Antoine Bosselut, Bhavana Dalvi Mishra, Yejin Choi, Hannaneh Hajishirzi
Procedural Reading Comprehension with Attribute-Aware Context Flow. AKBC (2020)
Lianhui Qin, Vered Shwartz, Peter West, Chandra Bhagavatula, Jena D. Hwang, Ronan Le Bras, Antoine Bosselut, Yejin Choi
Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning. EMNLP (1) (2020)
Aida Amini, Antoine Bosselut, Bhavana Dalvi Mishra, Yejin Choi, Hannaneh Hajishirzi
Procedural Reading Comprehension with Attribute-Aware Context Flow. CoRR (2020)
Yangfeng Ji, Antoine Bosselut, Thomas Wolf, Asli Celikyilmaz
The Amazing World of Neural Language Generation. EMNLP (Tutorial Abstracts) (2020)
Saadia Gabriel, Antoine Bosselut, Ari Holtzman, Kyle Lo, Asli Celikyilmaz, Yejin Choi
Cooperative Generator-Discriminator Networks for Abstractive Summarization with Narrative Flow. CoRR (2019)
Xinya Du, Bhavana Dalvi Mishra, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark, Claire Cardie
Be Consistent! Improving Procedural Text Comprehension using Label Consistency. NAACL-HLT (1) (2019)
Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Celikyilmaz, Yejin Choi
COMET: Commonsense Transformers for Automatic Knowledge Graph Construction. CoRR (2019)
Bhavana Dalvi, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark
Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text. EMNLP/IJCNLP (1) (2019)
Lianhui Qin, Antoine Bosselut, Ari Holtzman, Chandra Bhagavatula, Elizabeth Clark, Yejin Choi
Counterfactual Story Reasoning and Generation. CoRR (2019)
Chaitanya Malaviya, Chandra Bhagavatula, Antoine Bosselut, Yejin Choi
Exploiting Structural and Semantic Context for Commonsense Knowledge Base Completion. CoRR (2019)
Andrew Hoang, Antoine Bosselut, Asli Celikyilmaz, Yejin Choi
Efficient Adaptation of Pretrained Transformers for Abstractive Summarization. CoRR (2019)
Lianhui Qin, Antoine Bosselut, Ari Holtzman, Chandra Bhagavatula, Elizabeth Clark, Yejin Choi
Counterfactual Story Reasoning and Generation. EMNLP/IJCNLP (1) (2019)
Niket Tandon, Bhavana Dalvi Mishra, Keisuke Sakaguchi, Antoine Bosselut, Peter Clark
WIQA: A dataset for "What if..." reasoning over procedural text. CoRR (2019)
Niket Tandon, Bhavana Dalvi, Keisuke Sakaguchi, Peter Clark, Antoine Bosselut
WIQA: A dataset for "What if..." reasoning over procedural text. EMNLP/IJCNLP (1) (2019)

Antoine Bosselut.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Antoine Bosselut