13 citations · 19 across the 16 of their papers we have counts for
4 papers · 1 filter
When 2D Tasks Meet 1D Serialization: On Serialization Friction in Structured Tasks
Chung-Hsiang Lo, Lu Li, Diji Yang +4
In the LLM era, many symbolic and structured problems are presented to models through 1D text serialization. Yet some such problems are natively two-dimensional: their relevant rel…
VULCA-Bench: A Multicultural Vision-Language Benchmark for Evaluating Cultural Understanding
Haorui Yu, Diji Yang, Hang He +2
We introduce VULCA-Bench, a multicultural art-critique benchmark for evaluating Vision-Language Models' (VLMs) cultural understanding beyond surface-level visual perception. Existi…
IM-RAG: Multi-Round Retrieval-Augmented Generation Through Learning Inner Monologues
Diji Yang, Jinmeng Rao, Kezhen Chen +4
Although the Retrieval-Augmented Generation (RAG) paradigms can use external knowledge to enhance and ground the outputs of Large Language Models (LLMs) to mitigate generative hall…
Tackling Vision Language Tasks Through Learning Inner Monologues
Diji Yang, Kezhen Chen, Jinmeng Rao +4
Visual language tasks require AI models to comprehend and reason with both visual and textual content. Driven by the power of Large Language Models (LLMs), two prominent methods ha…