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2020 – today
- 2024
[c56]Li Mi, Syrielle Montariol, Javiera Castillo Navarro, Xianjie Dai, Antoine Bosselut, Devis Tuia:
ConVQG: Contrastive Visual Question Generation with Multimodal Guidance. AAAI 2024: 4207-4215- [c55]Silin Gao, Mete Ismayilzada, Mengjie Zhao, Hiromi Wakaki, Yuki Mitsufuji, Antoine Bosselut:
DiffuCOMET: Contextual Commonsense Knowledge Diffusion. ACL (1) 2024: 4809-4831 - [c54]Shaobo Cui, Lazar Milikic, Yiyang Feng, Mete Ismayilzada, Debjit Paul, Antoine Bosselut, Boi Faltings:
Exploring Defeasibility in Causal Reasoning. ACL (Findings) 2024: 6433-6452 - [c53]Tianqing Fang, Zeming Chen, Yangqiu Song, Antoine Bosselut:
Complex Reasoning over Logical Queries on Commonsense Knowledge Graphs. ACL (1) 2024: 11365-11384 - [c52]Haotian Wu, Paul Boulenger, Antonin Faure, Berta Céspedes, Farouk Boukil, Nastasia Morel, Zeming Chen, Antoine Bosselut:
EPFL-MAKE at "Discharge Me!": An LLM System for Automatically Generating Discharge Summaries of Clinical Electronic Health Record. BioNLP@ACL 2024: 696-711 - [c51]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: 1054:1-1054:35 - [c50]Debjit Paul, Mete Ismayilzada, Maxime Peyrard, Beatriz Borges, Antoine Bosselut, Robert West, Boi Faltings:
REFINER: Reasoning Feedback on Intermediate Representations. EACL (1) 2024: 1100-1126 - [c49]Deniz Bayazit, Negar Foroutan, Zeming Chen, Gail Weiss, Antoine Bosselut:
Discovering Knowledge-Critical Subnetworks in Pretrained Language Models. EMNLP 2024: 6549-6583 - [c48]Karina Halevy, Anna Sotnikova, Badr AlKhamissi, Syrielle Montariol, Antoine Bosselut:
"Flex Tape Can't Fix That": Bias and Misinformation in Edited Language Models. EMNLP 2024: 8690-8707 - [c47]Beatriz Borges, Niket Tandon, Tanja Käser, Antoine Bosselut:
Let Me Teach You: Pedagogical Foundations of Feedback for Language Models. EMNLP 2024: 12082-12104 - [c46]João Luis Prado, Syrielle Montariol, Javiera Castillo-Navarro, Devis Tuia, Antoine Bosselut:
Training Visual Language Models with Object Detection: Grounded Change Descriptions in Satellite Images. IGARSS 2024: 2745-2749 - [c45]Jibril Frej, Anna Dai, Syrielle Montariol, Antoine Bosselut, Tanja Käser:
Course Recommender Systems Need to Consider the Job Market. SIGIR 2024: 522-532 - [i67]Shaobo Cui, Lazar Milikic, Yiyang Feng, Mete Ismayilzada, Debjit Paul, Antoine Bosselut, Boi Faltings:
δ-CAUSAL: Exploring Defeasibility in Causal Reasoning. CoRR abs/2401.03183 (2024) - [i66]Tim R. Davidson, Veniamin Veselovsky, Martin Josifoski, Maxime Peyrard, Antoine Bosselut, Michal Kosinski, Robert West:
Evaluating Language Model Agency through Negotiations. CoRR abs/2401.04536 (2024) - [i65]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 abs/2401.17464 (2024) - [i64]Antoine Magron, Anna Dai, Mike Zhang, Syrielle Montariol, Antoine Bosselut:
JOBSKAPE: A Framework for Generating Synthetic Job Postings to Enhance Skill Matching. CoRR abs/2402.03242 (2024) - [i63]Khanh Cao Nguyen, Mike Zhang, Syrielle Montariol, Antoine Bosselut:
Rethinking Skill Extraction in the Job Market Domain using Large Language Models. CoRR abs/2402.03832 (2024) - [i62]Li Mi, Syrielle Montariol, Javiera Castillo-Navarro, Xianjie Dai, Antoine Bosselut, Devis Tuia:
ConVQG: Contrastive Visual Question Generation with Multimodal Guidance. CoRR abs/2402.12846 (2024) - [i61]Debjit Paul, Robert West, Antoine Bosselut, Boi Faltings:
Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning. CoRR abs/2402.13950 (2024) - [i60]Silin Gao, Mete Ismayilzada, Mengjie Zhao, Hiromi Wakaki, Yuki Mitsufuji, Antoine Bosselut:
DiffuCOMET: Contextual Commonsense Knowledge Diffusion. CoRR abs/2402.17011 (2024) - [i59]Karina Halevy, Anna Sotnikova, Badr AlKhamissi, Syrielle Montariol, Antoine Bosselut:
"Flex Tape Can't Fix That": Bias and Misinformation in Edited Language Models. CoRR abs/2403.00180 (2024) - [i58]Tianqing Fang, Zeming Chen, Yangqiu Song, Antoine Bosselut:
Complex Reasoning over Logical Queries on Commonsense Knowledge Graphs. CoRR abs/2403.07398 (2024) - [i57]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 abs/2403.13965 (2024) - [i56]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 abs/2403.14117 (2024) - [i55]Jibril Frej, Anna Dai, Syrielle Montariol, Antoine Bosselut, Tanja Käser:
Course Recommender Systems Need to Consider the Job Market. CoRR abs/2404.10876 (2024) - [i54]Auguste Poiroux, Gail Weiss, Viktor Kuncak, Antoine Bosselut:
Improving Autoformalization using Type Checking. CoRR abs/2406.07222 (2024) - [i53]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 abs/2406.11228 (2024) - [i52]Badr AlKhamissi, Greta Tuckute, Antoine Bosselut, Martin Schrimpf:
Brain-Like Language Processing via a Shallow Untrained Multihead Attention Network. CoRR abs/2406.15109 (2024) - [i51]Luca Mouchel, Debjit Paul, Shaobo Cui, Robert West, Antoine Bosselut, Boi Faltings:
A Logical Fallacy-Informed Framework for Argument Generation. CoRR abs/2408.03618 (2024) - [i50]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:
Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants. CoRR abs/2408.11841 (2024) - 2023
- [c44]Zeming Chen, Qiyue Gao, Antoine Bosselut, Ashish Sabharwal, Kyle Richardson:
DISCO: Distilling Counterfactuals with Large Language Models. ACL (1) 2023: 5514-5528 - [c43]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: 6569-6591 - [c42]Yu Fei, Yifan Hou, Zeming Chen, Antoine Bosselut:
Mitigating Label Biases for In-context Learning. ACL (1) 2023: 14014-14031 - [c41]Mete Ismayilzada, Antoine Bosselut:
kogito: A Commonsense Knowledge Inference Toolkit. EACL (System Demonstrations) 2023: 96-104 - [c40]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: 4902-4919 - [c39]Negar Foroutan, Mohammadreza Banaei, Karl Aberer, Antoine Bosselut:
Breaking the Language Barrier: Improving Cross-Lingual Reasoning with Structured Self-Attention. EMNLP (Findings) 2023: 9422-9442 - [c38]Mete Ismayilzada, Debjit Paul, Syrielle Montariol, Mor Geva, Antoine Bosselut:
CRoW: Benchmarking Commonsense Reasoning in Real-World Tasks. EMNLP 2023: 9785-9821 - [c37]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: 13520-13545 - [c36]Angelika Romanou, Syrielle Montariol, Debjit Paul, Léo Laugier, Karl Aberer, Antoine Bosselut:
CRAB: Assessing the Strength of Causal Relationships Between Real-world Events. EMNLP 2023: 15198-15216 - [c35]Zeming Chen, Gail Weiss, Eric Mitchell, Asli Celikyilmaz, Antoine Bosselut:
RECKONING: Reasoning through Dynamic Knowledge Encoding. NeurIPS 2023 - [i49]Debjit Paul, Mete Ismayilzada, Maxime Peyrard, Beatriz Borges, Antoine Bosselut, Robert West, Boi Faltings:
REFINER: Reasoning Feedback on Intermediate Representations. CoRR abs/2304.01904 (2023) - [i48]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 abs/2305.02364 (2023) - [i47]Zeming Chen, Gail Weiss, Eric Mitchell, Asli Celikyilmaz, Antoine Bosselut:
RECKONING: Reasoning through Dynamic Knowledge Encoding. CoRR abs/2305.06349 (2023) - [i46]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 abs/2305.14869 (2023) - [i45]Yu Fei, Yifan Hou, Zeming Chen, Antoine Bosselut:
Mitigating Label Biases for In-context Learning. CoRR abs/2305.19148 (2023) - [i44]Beatriz Borges, Niket Tandon, Tanja Käser, Antoine Bosselut:
Let Me Teach You: Pedagogical Foundations of Feedback for Language Models. CoRR abs/2307.00279 (2023) - [i43]Deniz Bayazit, Negar Foroutan, Zeming Chen, Gail Weiss, Antoine Bosselut:
Discovering Knowledge-Critical Subnetworks in Pretrained Language Models. CoRR abs/2310.03084 (2023) - [i42]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 abs/2310.14491 (2023) - [i41]Mete Ismayilzada, Debjit Paul, Syrielle Montariol, Mor Geva, Antoine Bosselut:
CRoW: Benchmarking Commonsense Reasoning in Real-World Tasks. CoRR abs/2310.15239 (2023) - [i40]Negar Foroutan, Mohammadreza Banaei, Karl Aberer, Antoine Bosselut:
Breaking the Language Barrier: Improving Cross-Lingual Reasoning with Structured Self-Attention. CoRR abs/2310.15258 (2023) - [i39]Angelika Romanou, Syrielle Montariol, Debjit Paul, Léo Laugier, Karl Aberer, Antoine Bosselut:
CRAB: Assessing the Strength of Causal Relationships Between Real-world Events. CoRR abs/2311.04284 (2023) - [i38]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 abs/2311.16079 (2023) - [i37]Khai Loong Aw, Syrielle Montariol, Badr AlKhamissi, Martin Schrimpf, Antoine Bosselut:
Instruction-tuning Aligns LLMs to the Human Brain. CoRR abs/2312.00575 (2023) - 2022
- [j1]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: 2173-2187 (2022) - [c34]Yibing Du, Antoine Bosselut, Christopher D. Manning:
Synthetic Disinformation Attacks on Automated Fact Verification Systems. AAAI 2022: 10581-10589 - [c33]Silin Gao, Jena D. Hwang, Saya Kanno, Hiromi Wakaki, Yuki Mitsufuji, Antoine Bosselut:
ComFact: A Benchmark for Linking Contextual Commonsense Knowledge. EMNLP (Findings) 2022: 1656-1675 - [c32]Aman Madaan, Dheeraj Rajagopal, Niket Tandon, Yiming Yang, Antoine Bosselut:
Conditional set generation using Seq2seq models. EMNLP 2022: 4874-4896 - [c31]Negar Foroutan, Mohammadreza Banaei, Rémi Lebret, Antoine Bosselut, Karl Aberer:
Discovering Language-neutral Sub-networks in Multilingual Language Models. EMNLP 2022: 7560-7575 - [c30]Xikun Zhang, Antoine Bosselut, Michihiro Yasunaga, Hongyu Ren, Percy Liang, Christopher D. Manning, Jure Leskovec:
GreaseLM: Graph REASoning Enhanced Language Models. ICLR 2022 - [c29]Eric Mitchell, Charles Lin, Antoine Bosselut, Chelsea Finn, Christopher D. Manning:
Fast Model Editing at Scale. ICLR 2022 - [c28]Eric Mitchell, Charles Lin, Antoine Bosselut, Christopher D. Manning, Chelsea Finn:
Memory-Based Model Editing at Scale. ICML 2022: 15817-15831 - [c27]Michihiro Yasunaga, Antoine Bosselut, Hongyu Ren, Xikun Zhang, Christopher D. Manning, Percy Liang, Jure Leskovec:
Deep Bidirectional Language-Knowledge Graph Pretraining. NeurIPS 2022 - [i36]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 abs/2201.08860 (2022) - [i35]Yibing Du, Antoine Bosselut, Christopher D. Manning:
Synthetic Disinformation Attacks on Automated Fact Verification Systems. CoRR abs/2202.09381 (2022) - [i34]Aman Madaan, Dheeraj Rajagopal, Niket Tandon, Yiming Yang, Antoine Bosselut:
Conditional set generation using Seq2seq models. CoRR abs/2205.12485 (2022) - [i33]Negar Foroutan, Mohammadreza Banaei, Rémi Lebret, Antoine Bosselut, Karl Aberer:
Discovering Language-neutral Sub-networks in Multilingual Language Models. CoRR abs/2205.12672 (2022) - [i32]Eric Mitchell, Charles Lin, Antoine Bosselut, Christopher D. Manning, Chelsea Finn:
Memory-Based Model Editing at Scale. CoRR abs/2206.06520 (2022) - [i31]Michihiro Yasunaga, Antoine Bosselut, Hongyu Ren, Xikun Zhang, Christopher D. Manning, Percy Liang, Jure Leskovec:
Deep Bidirectional Language-Knowledge Graph Pretraining. CoRR abs/2210.09338 (2022) - [i30]Silin Gao, Jena D. Hwang, Saya Kanno, Hiromi Wakaki, Yuki Mitsufuji, Antoine Bosselut:
ComFact: A Benchmark for Linking Contextual Commonsense Knowledge. CoRR abs/2210.12678 (2022) - [i29]Mete Ismayilzada, Antoine Bosselut:
kogito: A Commonsense Knowledge Inference Toolkit. CoRR abs/2211.08451 (2022) - [i28]Zeming Chen, Qiyue Gao, Kyle Richardson, Antoine Bosselut, Ashish Sabharwal:
DISCO: Distilling Phrasal Counterfactuals with Large Language Models. CoRR abs/2212.10534 (2022) - 2021
- [c26]Antoine Bosselut, Ronan Le Bras, Yejin Choi:
Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering. AAAI 2021: 4923-4931 - [c25]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: 6384-6392 - [c24]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: 1261-1274 - [c23]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: 2026-2039 - [c22]Jeff Da, Ronan Le Bras, Ximing Lu, Yejin Choi, Antoine Bosselut:
Analyzing Commonsense Emergence in Few-shot Knowledge Models. AKBC 2021 - [c21]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: 435-447 - [c20]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: 7404-7418 - [c19]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: 535-546 - [c18]Liwei Jiang, Antoine Bosselut, Chandra Bhagavatula, Yejin Choi:
"I'm Not Mad": Commonsense Implications of Negation and Contradiction. NAACL-HLT 2021: 4380-4397 - [i27]Jeff Da, Ronan Le Bras, Ximing Lu, Yejin Choi, Antoine Bosselut:
Understanding Few-Shot Commonsense Knowledge Models. CoRR abs/2101.00297 (2021) - [i26]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 abs/2101.00371 (2021) - [i25]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 abs/2102.01672 (2021) - [i24]Michihiro Yasunaga, Hongyu Ren, Antoine Bosselut, Percy Liang, Jure Leskovec:
QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering. CoRR abs/2104.06378 (2021) - [i23]Liwei Jiang, Antoine Bosselut, Chandra Bhagavatula, Yejin Choi:
"I'm Not Mad": Commonsense Implications of Negation and Contradiction. CoRR abs/2104.06511 (2021) - [i22]Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ B. 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 E. 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 abs/2108.07258 (2021) - [i21]Forough Arabshahi, Jennifer Lee, Antoine Bosselut, Yejin Choi, Tom M. Mitchell:
Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules. CoRR abs/2109.08544 (2021) - [i20]Eric Mitchell, Charles Lin, Antoine Bosselut, Chelsea Finn, Christopher D. Manning:
Fast Model Editing at Scale. CoRR abs/2110.11309 (2021) - 2020
- [b1]Antoine Bosselut:
Understanding Natural Language with Commonsense Knowledge Representation, Reasoning, and Simulation. University of Washington, USA, 2020 - [c17]Chaitanya Malaviya, Chandra Bhagavatula, Antoine Bosselut, Yejin Choi:
Commonsense Knowledge Base Completion with Structural and Semantic Context. AAAI 2020: 2925-2933 - [c16]Maarten Sap, Vered Shwartz, Antoine Bosselut, Yejin Choi, Dan Roth:
Commonsense Reasoning for Natural Language Processing. ACL (tutorial) 2020: 27-33 - [c15]Aida Amini, Antoine Bosselut, Bhavana Dalvi Mishra, Yejin Choi, Hannaneh Hajishirzi:
Procedural Reading Comprehension with Attribute-Aware Context Flow. AKBC 2020 - [c14]Yangfeng Ji, Antoine Bosselut, Thomas Wolf, Asli Celikyilmaz:
The Amazing World of Neural Language Generation. EMNLP (Tutorial Abstracts) 2020: 37-42 - [c13]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: 794-805 - [i19]Aida Amini, Antoine Bosselut, Bhavana Dalvi Mishra, Yejin Choi, Hannaneh Hajishirzi:
Procedural Reading Comprehension with Attribute-Aware Context Flow. CoRR abs/2003.13878 (2020) - [i18]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 abs/2010.05906 (2020) - [i17]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 abs/2010.05953 (2020) - [i16]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 abs/2012.04726 (2020)
2010 – 2019
- 2019
- [c12]Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Celikyilmaz, Yejin Choi:
COMET: Commonsense Transformers for Automatic Knowledge Graph Construction. ACL (1) 2019: 4762-4779 - [c11]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: 4495-4504 - [c10]Lianhui Qin, Antoine Bosselut, Ari Holtzman, Chandra Bhagavatula, Elizabeth Clark, Yejin Choi:
Counterfactual Story Reasoning and Generation. EMNLP/IJCNLP (1) 2019: 5042-5052 - [c9]Niket Tandon, Bhavana Dalvi, Keisuke Sakaguchi, Peter Clark, Antoine Bosselut:
WIQA: A dataset for "What if..." reasoning over procedural text. EMNLP/IJCNLP (1) 2019: 6075-6084 - [c8]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: 2347-2356 - [i15]Andrew Hoang, Antoine Bosselut, Asli Celikyilmaz, Yejin Choi:
Efficient Adaptation of Pretrained Transformers for Abstractive Summarization. CoRR abs/1906.00138 (2019) - [i14]Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Celikyilmaz, Yejin Choi:
COMET: Commonsense Transformers for Automatic Knowledge Graph Construction. CoRR abs/1906.05317 (2019) - [i13]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. CoRR abs/1906.08942 (2019) - [i12]Saadia Gabriel, Antoine Bosselut, Ari Holtzman, Kyle Lo, Asli Celikyilmaz, Yejin Choi:
Cooperative Generator-Discriminator Networks for Abstractive Summarization with Narrative Flow. CoRR abs/1907.01272 (2019) - [i11]Lianhui Qin, Antoine Bosselut, Ari Holtzman, Chandra Bhagavatula, Elizabeth Clark, Yejin Choi:
Counterfactual Story Reasoning and Generation. CoRR abs/1909.04076 (2019) - [i10]Niket Tandon, Bhavana Dalvi Mishra, Keisuke Sakaguchi, Antoine Bosselut, Peter Clark:
WIQA: A dataset for "What if..." reasoning over procedural text. CoRR abs/1909.04739 (2019) - [i9]Bhavana Dalvi Mishra, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark:
Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text. CoRR abs/1909.04745 (2019) - [i8]Chaitanya Malaviya, Chandra Bhagavatula, Antoine Bosselut, Yejin Choi:
Exploiting Structural and Semantic Context for Commonsense Knowledge Base Completion. CoRR abs/1910.02915 (2019) - [i7]Antoine Bosselut, Yejin Choi:
Dynamic Knowledge Graph Construction for Zero-shot Commonsense Question Answering. CoRR abs/1911.03876 (2019) - 2018
- [c7]Ari Holtzman, Jan Buys, Maxwell Forbes, Antoine Bosselut, David Golub, Yejin Choi:
Learning to Write with Cooperative Discriminators. ACL (1) 2018: 1638-1649 - [c6]Hannah Rashkin, Antoine Bosselut, Maarten Sap, Kevin Knight, Yejin Choi:
Modeling Naive Psychology of Characters in Simple Commonsense Stories. ACL (1) 2018: 2289-2299 - [c5]Niket Tandon, Bhavana Dalvi, Joel Grus, Wen-tau Yih, Antoine Bosselut, Peter Clark:
Reasoning about Actions and State Changes by Injecting Commonsense Knowledge. EMNLP 2018: 57-66 - [c4]Antoine Bosselut, Omer Levy, Ari Holtzman, Corin Ennis, Dieter Fox, Yejin Choi:
Simulating Action Dynamics with Neural Process Networks. ICLR (Poster) 2018 - [c3]Antoine Bosselut, Asli Celikyilmaz, Xiaodong He, Jianfeng Gao, Po-Sen Huang, Yejin Choi:
Discourse-Aware Neural Rewards for Coherent Text Generation. NAACL-HLT 2018: 173-184 - [c2]Asli Celikyilmaz, Antoine Bosselut, Xiaodong He, Yejin Choi:
Deep Communicating Agents for Abstractive Summarization. NAACL-HLT 2018: 1662-1675 - [i6]Asli Celikyilmaz, Antoine Bosselut, Xiaodong He, Yejin Choi:
Deep Communicating Agents for Abstractive Summarization. CoRR abs/1803.10357 (2018) - [i5]Antoine Bosselut, Asli Celikyilmaz, Xiaodong He, Jianfeng Gao, Po-Sen Huang, Yejin Choi:
Discourse-Aware Neural Rewards for Coherent Text Generation. CoRR abs/1805.03766 (2018) - [i4]Ari Holtzman, Jan Buys, Maxwell Forbes, Antoine Bosselut, David Golub, Yejin Choi:
Learning to Write with Cooperative Discriminators. CoRR abs/1805.06087 (2018) - [i3]Hannah Rashkin, Antoine Bosselut, Maarten Sap, Kevin Knight, Yejin Choi:
Modeling Naive Psychology of Characters in Simple Commonsense Stories. CoRR abs/1805.06533 (2018) - [i2]Niket Tandon, Bhavana Dalvi Mishra, Joel Grus, Wen-tau Yih, Antoine Bosselut, Peter Clark:
Reasoning about Actions and State Changes by Injecting Commonsense Knowledge. CoRR abs/1808.10012 (2018) - 2017
- [i1]Antoine Bosselut, Omer Levy, Ari Holtzman, Corin Ennis, Dieter Fox, Yejin Choi:
Simulating Action Dynamics with Neural Process Networks. CoRR abs/1711.05313 (2017) - 2016
- [c1]Antoine Bosselut, Jianfu Chen, David Scott Warren, Hannaneh Hajishirzi, Yejin Choi:
Learning Prototypical Event Structure from Photo Albums. ACL (1) 2016
Coauthor Index
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