Gaël Gendron

7 papers at tracked venues · 3 at CORE A* · active 2024–2025

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Venues

IJCAI ×2 AAAI ×1 AAMAS ×1 ACL ×1 EMNLP ×1 NeurIPS ×1

Frequent coauthors

Michael Witbrock

×6

Jiamou Liu

×4

Qiming Bao

×3

Alex Yuxuan Peng

×3

Yang Chen

×3

Gillian Dobbie

×3

Wanjun Zhong

×2

Timothy Pistotti

×2

Paul Denny

×2

Juho Leinonen

×1

Alice Huang

×1

Menglin Zou

×1

Papers

Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models
AAAI 2025 ·
Qiming Bao
,
Juho Leinonen
,
Alex Yuxuan Peng
,
Wanjun Zhong
, Gaël Gendron,
Timothy Pistotti
,
Alice Huang
,
Paul Denny
,
Michael Witbrock
,
Jiamou Liu
Trust Region Reward Optimization and Proximal Inverse Reward Optimization Algorithm
NeurIPS 2025 ·
Yang Chen
,
Menglin Zou
,
Jiaqi Zhang
,
Yitan Zhang
,
Junyi Yang
, Gaël Gendron,
Libo Zhang
,
Jiamou Liu
,
Michael Witbrock
Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning
ACL 2024 ·
Qiming Bao
,
Alex Yuxuan Peng
,
Zhenyun Deng
,
Wanjun Zhong
, Gaël Gendron,
Timothy Pistotti
,
Neset Tan
,
Nathan Young
,
Yang Chen
,
Yonghua Zhu
,
Paul Denny
,
Michael Witbrock
,
Jiamou Liu
Behaviour Modelling of Social Animals via Causal Structure Discovery and Graph Neural Networks
AAMAS 2024 · Gaël Gendron,
Yang Chen
,
Mitchell Rogers
,
Yiping Liu
,
Mihailo Azhar
,
Shahrokh Heidari
,
David Arturo Soriano Valdez
,
Kobe Knowles
,
Padriac O'Leary
,
Simon Eyre
,
Michael Witbrock
,
Gillian Dobbie
,
Jiamou Liu
,
Patrice Delmas
Can Large Language Models Learn Independent Causal Mechanisms?
EMNLP 2024 · Gaël Gendron,
Bao Trung Nguyen
,
Alex Yuxuan Peng
,
Michael J. Witbrock
,
Gillian Dobbie
Causal Graph Modeling with Deep Neural Engines for Strong Abstract Reasoning in Language and Vision
IJCAI 2024 · Gaël Gendron
Large Language Models Are Not Strong Abstract Reasoners
IJCAI 2024 · Gaël Gendron,
Qiming Bao
,
Michael Witbrock
,
Gillian Dobbie