Antoine Bosselut
7 papers in the PaperMetrix corpus
Papers by this author
-
"Flex Tape Can't Fix That": Bias and Misinformation in Edited Language Models
2024 · arXiv (Cornell University)
Model editing has emerged as a cost-effective strategy to update knowledge stored in language models. However, model editing can have unintended consequences after edits are applied: information unrelated to the edits can also be changed, …
-
Creative Preference Optimization
2025 · arXiv (Cornell University)
While Large Language Models (LLMs) have demonstrated impressive performance across natural language generation tasks, their ability to generate truly creative content-characterized by novelty, diversity, surprise, and quality-remains limited. Existing methods for enhancing LLM creativity often …
-
Deep Communicating Agents for Abstractive Summarization
2018
Asli Celikyilmaz, Antoine Bosselut, Xiaodong He, Yejin Choi. Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers). 2018.
-
COMET: Commonsense Transformers for Automatic Knowledge Graph Construction
2019
We present the first comprehensive study on automatic knowledge base construction for two prevalent commonsense knowledge graphs: ATOMIC Contrary to many conventional KBs that store knowledge with canonical templates, commonsense KBs only store loosely structured …
-
QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering
2021
Michihiro Yasunaga, Hongyu Ren, Antoine Bosselut, Percy Liang, Jure Leskovec. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2021.
-
(Comet-) Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs
2021
Recent years have brought about a renewed interest in commonsense representation and reasoning in the field of natural language understanding. The development of new commonsense knowledge graphs (CSKG) has been central to these advances as …
-
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
2021
Sebastian Gehrmann, Tosin Adewumi, Karmanya Aggarwal, Pawan Sasanka Ammanamanchi, Anuoluwapo Aremu, Antoine Bosselut, Khyathi Raghavi Chandu, Miruna-Adriana Clinciu, Dipanjan Das, Kaustubh Dhole, Wanyu Du, Esin Durmus, Ondřej Dušek, Chris Chinenye Emezue, Varun Gangal, Cristina Garbacea, …