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Books and Theses
- 2024
[b1]Debjit Paul:
Social Commonsense Reasoning with Structured Knowledge in Text. University of Heidelberg, Germany, 2024
Journal Articles
- 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)
Conference and Workshop Papers
- 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 - 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 - 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 - 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 - 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
Informal and Other Publications
- 2024
- [i15]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) - [i14]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) - [i13]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) - [i12]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
- [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
- [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
- [i3]Debjit Paul, Anette Frank:
Social Commonsense Reasoning with Multi-Head Knowledge Attention. CoRR abs/2010.05587 (2020) - 2019
- [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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