Debjit Paul

According to our database, Debjit Paul authored at least 16 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning.

Debjit Paul, Robert West, Antoine Bosselut, Boi Faltings

CoRR, 2024

δ-CAUSAL: Exploring Defeasibility in Causal Reasoning.

Shaobo Cui, Lazar Milikic, Yiyang Feng, Mete Ismayilzada, Debjit Paul, Antoine Bosselut, Boi Faltings

CoRR, 2024

REFINER: Reasoning Feedback on Intermediate Representations.

Debjit Paul, Mete Ismayilzada, Maxime Peyrard, Beatriz Borges, Antoine Bosselut, Robert West, Boi Faltings

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

Flows: Building Blocks of Reasoning and Collaborating AI.

Martin Josifoski, Lars Henning Klein, Maxime Peyrard, Yifei Li, Saibo Geng, Julian Paul Schnitzler, Yuxing Yao, Jiheng Wei, Debjit Paul, Robert West

CoRR, 2023

CRAB: Assessing the Strength of Causal Relationships Between Real-world Events.

Angelika Romanou, Syrielle Montariol, Debjit Paul, Léo Laugier, Karl Aberer, Antoine Bosselut

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

CRoW: Benchmarking Commonsense Reasoning in Real-World Tasks.

Mete Ismayilzada, Debjit Paul, Syrielle Montariol, Mor Geva, Antoine Bosselut

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Language Model Decoding as Likelihood-Utility Alignment.

Martin Josifoski, Maxime Peyrard, Frano Rajic, Jiheng Wei, Debjit Paul, Valentin Hartmann, Barun Patra, Vishrav Chaudhary, Emre Kiciman, Boi Faltings

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2022

Language Model Decoding as Likelihood-Utility Alignment.

Martin Josifoski, Maxime Peyrard, Frano Rajic, Jiheng Wei, Debjit Paul, Valentin Hartmann, Barun Patra, Vishrav Chaudhary, Emre Kiciman, Boi Faltings, Robert West

CoRR, 2022

2021

CO-NNECT: A Framework for Revealing Commonsense Knowledge Paths as Explicitations of Implicit Knowledge in Texts.

Maria Becker, Katharina Korfhage, Debjit Paul, Anette Frank

CoRR, 2021

Generating Hypothetical Events for Abductive Inference.

Debjit Paul, Anette Frank

Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics, 2021

COINS: Dynamically Generating COntextualized Inference Rules for Narrative Story Completion.

Debjit Paul, Anette Frank

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Explaining Arguments with Background Knowledge.

Maria Becker, Ioana Hulpus, Juri Opitz, Debjit Paul, Jonathan Kobbe, Heiner Stuckenschmidt, Anette Frank

Datenbank-Spektrum, 2020

Social Commonsense Reasoning with Multi-Head Knowledge Attention.

Debjit Paul, Anette Frank

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Argumentative Relation Classification with Background Knowledge.

Debjit Paul, Juri Opitz, Maria Becker, Jonathan Kobbe, Graeme Hirst, Anette Frank

Proceedings of the Computational Models of Argument, 2020

2019

Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling.

Debjit Paul, Mittul Singh, Michael A. Hedderich, Dietrich Klakow

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Ranking and Selecting Multi-Hop Knowledge Paths to Better Predict Human Needs.

Debjit Paul, Anette Frank

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019