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Fengshun Xiao

2 accepted papers

2025

Divide and Conquer: Exploring Language-centric Tree Reasoning for Video Question-Answering

ICML 2025poster

Video Question-Answering (VideoQA) remains challenging in achieving advanced cognitive reasoning due to the uncontrollable and opaque reasoning processes in existing Multimodal Large Language Models (MLLMs). To address this issue, we propose a novel Language-centric Tree Reasoning (LTR) framework th…

Cited by 0SourcePDFScholar
2022

Explicit Alignment Learning for Neural Machine Translation

IJCAI 2022poster

Even though neural machine translation (NMT) has become the state-of-the-art solution for end-to-end translation, it still suffers from a lack of translation interpretability, which may be conveniently enhanced by explicit alignment learning (EAL), as performed in traditional statistical machine tra…

Cited by 1SourcePDFScholar