Publications by Shaobo Cui | EPFL Graph Search

Related publications (6)

Exploration of Commonsense Causality

Large Language Models (LLMs) have driven transformative advances across numerous tasks, excelling in text generation, summarization, and multimodal scenarios such as video description and generation. Yet, a fundamental challenge persists: enabling AI syste ...

EPFL2025

Nuance Matters: Probing Epistemic Consistency in Causal Reasoning

Boi Faltings, Shaobo Cui, Luca Mouchel, Yiyang Feng

Previous research on causal reasoning often overlooks the subtleties crucial to understanding causal reasoning. To address this gap, our study introduces the concept of causal epistemic consistency, which focuses on the self-consistency of Large Language M ...

2024

A Logical Fallacy-Informed Framework for Argument Generation

Boi Faltings, Robert West, Antoine Bosselut, Debjit Paul, Shaobo Cui, Luca Mouchel

Despite the remarkable performance of large language models (LLMs), they still struggle with generating logically sound arguments, resulting in potential risks such as spreading misinformation. An important factor contributing to LLMs' suboptimal performan ...

Association for Computational Linguistics2025

Exploring Defeasibility in Causal Reasoning

Boi Faltings, Antoine Bosselut, Debjit Paul, Shaobo Cui, Mahammad Ismayilzada, Lazar Milikic

Defeasibility in causal reasoning implies that the causal relationship between cause and effect can be strengthened or weakened. Namely, the causal strength between cause and effect should increase or decrease with the incorporation of strengthening argume ...

2024

The Odyssey of Commonsense Causality: From Foundational Benchmarks to Cutting-Edge Reasoning

Boi Faltings, Shaobo Cui

Understanding commonsense causality is a unique mark of intelligence for humans. It helps people understand the principles of the real world better and benefits the decisionmaking process related to causation. For instance, commonsense causality is crucial ...

Association for Computational Linguistics2024

Unveiling the Art of Heading Design: A Harmonious Blend of Summarization, Neology, and Algorithm

Boi Faltings, Shaobo Cui, Yiyang Feng

Crafting an appealing heading is crucial for attracting readers and marketing work or products. A popular way is to summarize the main idea with a refined description and a memorable acronym. However, there lacks a systematic study and a formal benchmark i ...

Association for Computational Linguistics2024