4 papers · 1 filter
Interleaved-Modal Chain-of-Thought
Jun Gao, Yongqi Li, Ziqiang Cao +1
Chain-of-Thought (CoT) prompting elicits large language models (LLMs) to produce a series of intermediate reasoning steps before arriving at the final answer. However, when transit…
DNTextSpotter: Arbitrary-Shaped Scene Text Spotting via Improved Denoising Training
Yu Xie, Qian Qiao, Jun Gao +5
More and more end-to-end text spotting methods based on Transformer architecture have demonstrated superior performance. These methods utilize a bipartite graph matching algorithm…
AIM: Let Any Multi-modal Large Language Models Embrace Efficient In-Context Learning
Jun Gao, Qian Qiao, Ziqiang Cao +2
In-context learning (ICL) facilitates Large Language Models (LLMs) exhibiting emergent ability on downstream tasks without updating billions of parameters. However, in the area of…
Guiding ChatGPT to Generate Salient Domain Summaries
Jun Gao, Ziqiang Cao, Shaoyao Huang +2
ChatGPT is instruct-tuned to generate general and human-expected content to align with human preference through Reinforcement Learning from Human Feedback (RLHF), meanwhile resulti…