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Yuankai Li

2 accepted papers

2025

BRIEF: Bridging Retrieval and Inference for Multi-hop Reasoning via Compression

NAACL 2025findings

Retrieval-augmented generation (RAG) can supplement large language models (LLMs) by integrating external knowledge. However, as the number of retrieved documents increases, the input length to LLMs grows linearly, causing a dramatic increase in latency and a degradation in long-context understanding…

2024

Dissecting Dissonance: Benchmarking Large Multimodal Models Against Self-Contradictory Instructions

ECCV 2024poster

"Large multimodal models (LMMs) excel in adhering to human instructions. However, self-contradictory instructions may arise due to the increasing trend of multimodal interaction and context length, which is challenging for language beginners and vulnerable populations. We introduce the Self-Contradi…