1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CL2026
CulMind: Benchmarking Multimodal Understanding and Reasoning in Chinese Cultural Heritage
Zhangwei Cao, Shuhan Fan, Yuting Wei +5
Evaluating Multimodal Large Language Models (MLLMs) in Chinese Cultural Heritage (CCH) requires fine-grained reasoning over visual, textual, stylistic, and historical clues. Howeve…
cs.CL2024★ 1 cited
MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter
Jitai Hao, WeiWei Sun, Xin Xin +4
Parameter-Efficient Fine-tuning (PEFT) facilitates the fine-tuning of Large Language Models (LLMs) under limited resources. However, the fine-tuning performance with PEFT on comple…