1 citations · 1 across the 5 of their papers we have counts for
5 papers
REChart: Reasoning-Efficient Chart Editing with Large Reasoning Models
Yuanbang Liu, Chenxi Ruan, Yihan Hou +2
Chart editing requires inferring and modifying visualization code from a reference chart image based on an editing instruction, challenging fine-grained visual reasoning, instructi…
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…
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…
Dissecting the Runtime Performance of the Training, Fine-tuning, and Inference of Large Language Models
Longteng Zhang, Xiang Liu, Zeyu Li +8
Large Language Models (LLMs) have seen great advance in both academia and industry, and their popularity results in numerous open-source frameworks and techniques in accelerating L…