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Dayong Liang

2 accepted papers

2026

Multi-Agent Undercover Gaming: Hallucination Removal Through Counterfactual Test for Multimodal Reasoning

AAAI 2026technical

Hallucination continues to pose a major obstacle in the reasoning capabilities of large language models (LLMs). Although the Multi-Agent Debate (MAD) paradigm offers a promising solution by promoting consensus among multiple agents to enhance reliability, it relies on the unrealistic assumption that

Cited by 0SourcePDFScholar
2019

An Object Attribute Guided Framework for Robot Learning Manipulations from Human Demonstration Videos

IROS 2019poster

Learning manipulations from videos is an inspiriting way for robots to acquire new skills. In this paper, we propose a framework that can generate robotic manipulation plans by observing human demonstration videos without special marks or unnatural demonstrated behaviors. More specifically, the fram…

Cited by 4SourceScholar