Kaisi Guan — accepted AI-conference papers

2025

ETVA: Evaluation of Text-to-Video Alignment via Fine-grained Question Generation and Answering

Kaisi Guan, Zhengfeng Lai, Yuchong Sun, Peng Zhang, Wei Liu, Kieran Liu +2

ICCV 2025poster

Precisely evaluating semantic alignment between text prompts and generated videos remains a challenge in Text-to-Video (T2V) Generation. Existing text-to-video alignment metrics like CLIPScore only generate coarse-grained scores without fine-grained alignment details, failing to align with human pre…

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2024

BSharedRAG: Backbone Shared Retrieval-Augmented Generation for the E-commerce Domain

Kaisi Guan, Qian Cao, Yuchong Sun, Xiting Wang, Ruihua Song

EMNLP 2024finding

Retrieval Augmented Generation (RAG) system is important in domains such as e-commerce, which has many long-tail entities and frequently updated information. Most existing works adopt separate modules for retrieval and generation, which may be suboptimal since the retrieval task and the generation t…

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