16 citations · 30 across the 6 of their papers we have counts for
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cs.AI2025
Toward Better Generalisation in Uncertainty Estimators: Leveraging Data-Agnostic Features
Thuy An Ha, Bao Quoc Vo
Large Language Models (LLMs) often generate responses that are factually incorrect yet expressed with high confidence, which can pose serious risks for end users. To address this,…
cs.AI2012★ 3 cited
An Efficient Protocol for Negotiation over Combinatorial Domains with Incomplete Information
Minyi Li, Quoc Bao Vo, Ryszard Kowalczyk
We study the problem of agent-based negotiation in combinatorial domains. It is difficult to reach optimal agreements in bilateral or multi-lateral negotiations when the agents' pr…
cs.AI2011★ 16 cited
Reasoning about Action: An Argumentation - Theoretic Approach
N. Y. Foo, Q. B. Vo
We present a uniform non-monotonic solution to the problems of reasoning about action on the basis of an argumentation-theoretic approach. Our theory is provably correct relative t…