3 papers
cs.CL2024
Getting More from Less: Large Language Models are Good Spontaneous Multilingual Learners
Shimao Zhang, Changjiang Gao, Wenhao Zhu +6
Recently, Large Language Models (LLMs) have shown impressive language capabilities. While most of the existing LLMs have very unbalanced performance across different languages, mul…
cs.CL2024
Cobra Effect in Reference-Free Image Captioning Metrics
Zheng Ma, Changxin Wang, Yawen Ouyang +4
Evaluating the compatibility between textual descriptions and corresponding images represents a core endeavor within multi-modal research. In recent years, a proliferation of refer…
cs.CL2024
Multi-Candidate Speculative Decoding
Sen Yang, Shujian Huang, Xinyu Dai +1
Large language models have shown impressive capabilities across a variety of NLP tasks, yet their generating text autoregressively is time-consuming. One way to speed them up is sp…