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20192026
most citedCould ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants

36 citations · 92 across the 17 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

cs.CL2024★ 4 cited

INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge

Angelika Romanou, Negar Foroutan, Anna Sotnikova +56

The performance differential of large language models (LLM) between languages hinders their effective deployment in many regions, inhibiting the potential economic and societal val…

cs.CL2024

Entity Insertion in Multilingual Linked Corpora: The Case of Wikipedia

Tomás Feith, Akhil Arora, Martin Gerlach +2

Links are a fundamental part of information networks, turning isolated pieces of knowledge into a network of information that is much richer than the sum of its parts. However, add…

cs.AI2024★ 2 cited

Creativity in AI: Progresses and Challenges

Mete Ismayilzada, Debjit Paul, Antoine Bosselut +1

Creativity is the ability to produce novel, useful, and surprising ideas, and has been widely studied as a crucial aspect of human cognition. Machine creativity on the other hand h…

cs.CY2024★ 36 cited

Could ChatGPT get an Engineering Degree? Evaluating Higher Education Vulnerability to AI Assistants

Beatriz Borges, Negar Foroutan, Deniz Bayazit +87

AI assistants are being increasingly used by students enrolled in higher education institutions. While these tools provide opportunities for improved teaching and education, they a…

cs.CL2024

A Logical Fallacy-Informed Framework for Argument Generation

Luca Mouchel, Debjit Paul, Shaobo Cui +3

Despite the remarkable performance of Large Language Models (LLMs) in natural language processing tasks, they still struggle with generating logically sound arguments, resulting in…

cs.CL2024★ 3 cited

Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning

Debjit Paul, Robert West, Antoine Bosselut +1

Large language models (LLMs) have been shown to perform better when asked to reason step-by-step before answering a question. However, it is unclear to what degree the model's fina…

cs.CL2024

Exploring Defeasibility in Causal Reasoning

Shaobo Cui, Lazar Milikic, Yiyang Feng +4

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 effec…