4 papers
Chart-CoCa: Self-Improving Chart Understanding of Vision LMs via Code-Driven Synthesis and Candidate-Conditioned Answering
Gongyao Jiang, Qiong Luo
Vision Language Models (VLMs) often struggle with chart understanding tasks, particularly in accurate chart description and complex reasoning. Synthetic data generation is a promis…
JRE-L: Journalist, Reader, and Editor LLMs in the Loop for Science Journalism for the General Audience
Gongyao Jiang, Xinran Shi, Qiong Luo
Science journalism reports current scientific discoveries to non-specialists, aiming to enable public comprehension of the state of the art. This task is challenging as the audienc…
ToMBench: Benchmarking Theory of Mind in Large Language Models
Zhuang Chen, Jincenzi Wu, Jinfeng Zhou +8
Theory of Mind (ToM) is the cognitive capability to perceive and ascribe mental states to oneself and others. Recent research has sparked a debate over whether large language model…
LLM-Collaboration on Automatic Science Journalism for the General Audience
Gongyao Jiang, Xinran Shi, Qiong Luo
Science journalism reports current scientific discoveries to non-specialists, aiming to enable public comprehension of the state of the art. However, this task can be challenging a…