Debjit Paul

According to our database1, Debjit Paul authored at least 22 papers between 2019 and 2024.

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Bibliography

2024
Social Commonsense Reasoning with Structured Knowledge in Text.
PhD thesis, 2024

Creativity in AI: Progresses and Challenges.
CoRR, 2024

Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants.
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CoRR, 2024

A Logical Fallacy-Informed Framework for Argument Generation.
CoRR, 2024

δ-CAUSAL: Exploring Defeasibility in Causal Reasoning.
CoRR, 2024

Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Entity Insertion in Multilingual Linked Corpora: The Case of Wikipedia.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

REFINER: Reasoning Feedback on Intermediate Representations.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Exploring Defeasibility in Causal Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Flows: Building Blocks of Reasoning and Collaborating AI.
CoRR, 2023

CRAB: Assessing the Strength of Causal Relationships Between Real-world Events.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

CRoW: Benchmarking Commonsense Reasoning in Real-World Tasks.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Language Model Decoding as Likelihood-Utility Alignment.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2022
Language Model Decoding as Likelihood-Utility Alignment.
CoRR, 2022

2021
CO-NNECT: A Framework for Revealing Commonsense Knowledge Paths as Explicitations of Implicit Knowledge in Texts.
CoRR, 2021

Generating Hypothetical Events for Abductive Inference.
Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics, 2021

COINS: Dynamically Generating COntextualized Inference Rules for Narrative Story Completion.
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.
Datenbank-Spektrum, 2020

Social Commonsense Reasoning with Multi-Head Knowledge Attention.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Argumentative Relation Classification with Background Knowledge.
Proceedings of the Computational Models of Argument, 2020

2019
Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling.
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.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019


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