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Debjit Paul
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2020 – today
- 2024
- [b1]Debjit Paul:
Social Commonsense Reasoning with Structured Knowledge in Text. University of Heidelberg, Germany, 2024 - [c11]Shaobo Cui, Lazar Milikic, Yiyang Feng, Mete Ismayilzada, Debjit Paul, Antoine Bosselut, Boi Faltings:
Exploring Defeasibility in Causal Reasoning. ACL (Findings) 2024: 6433-6452 - [c10]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 - [i13]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) - [i12]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) - 2023
- [c9]Martin Josifoski, Maxime Peyrard, Frano Rajic, Jiheng Wei, Debjit Paul, Valentin Hartmann, Barun Patra, Vishrav Chaudhary, Emre Kiciman, Boi Faltings:
Language Model Decoding as Likelihood-Utility Alignment. EACL (Findings) 2023: 1425-1440 - [c8]Mete Ismayilzada, Debjit Paul, Syrielle Montariol, Mor Geva, Antoine Bosselut
:
CRoW: Benchmarking Commonsense Reasoning in Real-World Tasks. EMNLP 2023: 9785-9821 - [c7]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 - [i11]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) - [i10]Martin Josifoski, Lars Henning Klein, Maxime Peyrard, Yifei Li, Saibo Geng, Julian Paul Schnitzler, Yuxing Yao, Jiheng Wei, Debjit Paul, Robert West:
Flows: Building Blocks of Reasoning and Collaborating AI. CoRR abs/2308.01285 (2023) - [i9]Mete Ismayilzada, Debjit Paul, Syrielle Montariol, Mor Geva, Antoine Bosselut:
CRoW: Benchmarking Commonsense Reasoning in Real-World Tasks. CoRR abs/2310.15239 (2023) - [i8]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) - 2022
- [i7]Martin Josifoski, Maxime Peyrard, Frano Rajic, Jiheng Wei, Debjit Paul, Valentin Hartmann, Barun Patra, Vishrav Chaudhary, Emre Kiciman, Boi Faltings, Robert West:
Language Model Decoding as Likelihood-Utility Alignment. CoRR abs/2210.07228 (2022) - 2021
- [c6]Debjit Paul, Anette Frank:
COINS: Dynamically Generating COntextualized Inference Rules for Narrative Story Completion. ACL/IJCNLP (1) 2021: 5086-5099 - [c5]Debjit Paul, Anette Frank:
Generating Hypothetical Events for Abductive Inference. *SEM 2021: 67-77 - [i6]Maria Becker, Katharina Korfhage, Debjit Paul, Anette Frank:
CO-NNECT: A Framework for Revealing Commonsense Knowledge Paths as Explicitations of Implicit Knowledge in Texts. CoRR abs/2105.03157 (2021) - [i5]Debjit Paul, Anette Frank:
COINS: Dynamically Generating COntextualized Inference Rules for Narrative Story Completion. CoRR abs/2106.02497 (2021) - [i4]Debjit Paul, Anette Frank:
Generating Hypothetical Events for Abductive Inference. CoRR abs/2106.03973 (2021) - 2020
- [j1]Maria Becker, Ioana Hulpus, Juri Opitz, Debjit Paul, Jonathan Kobbe, Heiner Stuckenschmidt
, Anette Frank
:
Explaining Arguments with Background Knowledge. Datenbank-Spektrum 20(2): 131-141 (2020) - [c4]Debjit Paul, Juri Opitz, Maria Becker, Jonathan Kobbe, Graeme Hirst, Anette Frank:
Argumentative Relation Classification with Background Knowledge. COMMA 2020: 319-330 - [c3]Debjit Paul, Anette Frank:
Social Commonsense Reasoning with Multi-Head Knowledge Attention. EMNLP (Findings) 2020: 2969-2980 - [i3]Debjit Paul, Anette Frank:
Social Commonsense Reasoning with Multi-Head Knowledge Attention. CoRR abs/2010.05587 (2020)
2010 – 2019
- 2019
- [c2]Debjit Paul, Mittul Singh, Michael A. Hedderich, Dietrich Klakow:
Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling. NAACL-HLT (Student Research Workshop) 2019: 29-34 - [c1]Debjit Paul, Anette Frank:
Ranking and Selecting Multi-Hop Knowledge Paths to Better Predict Human Needs. NAACL-HLT (1) 2019: 3671-3681 - [i2]Debjit Paul, Mittul Singh, Michael A. Hedderich, Dietrich Klakow:
Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling. CoRR abs/1903.12008 (2019) - [i1]Debjit Paul, Anette Frank:
Ranking and Selecting Multi-Hop Knowledge Paths to Better Predict Human Needs. CoRR abs/1904.00676 (2019)
Coauthor Index
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last updated on 2024-08-28 23:35 CEST by the dblp team
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