Lattice AI Research

Research focus

Multimodal Models (2)Natural Language Processing (2)Recommendation & Information Retrieval (2)

Frequent co-authors

Chengkai Huang (2)Quan Z. Sheng (2)Zihan Wang (1)Cao Liu (1)

Papers (2)

Apr 30, 2026

Apr 30, 2026·also Macquarie, Meituan, UNSW

Purifying Multimodal Retrieval: Fragment-Level Evidence Selection for RAG

Stop drowning your MLLMs in irrelevant document noise: FES-RAG shows that carefully selecting multimodal fragments as evidence boosts performance by up to 27% while shrinking context length.

Xihang Wang, Zihan Wang, Chengkai Huang +3

Multimodal Models Natural Language Processing Recommendation & Information Retrieval

Apr 27, 2026

Apr 27, 2026·also Macquarie, PKU, UNSW

MEG-RAG: Quantifying Multi-modal Evidence Grounding for Evidence Selection in RAG

Semantic grounding, not token probability, is the key to better multimodal RAG.

Xihang Wang, Chengkai Huang, Quan Z. Sheng +1

Multimodal Models Natural Language Processing Recommendation & Information Retrieval

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Xihang Wang

Research focus

Frequent co-authors

Papers (2)