1 citations · 2 across the 8 of their papers we have counts for
9 papers
GRRM: Group Relative Reward Modeling for Machine Translation
Sen Yang, Shanbo Cheng, Lu Xu +2
While Group Relative Policy Optimization (GRPO) offers a powerful framework for LLM post-training, its effectiveness in open-ended domains like Machine Translation hinges on accura…
SparseDoctor: Towards Efficient Chat Doctor with Mixture of Experts Enhanced Large Language Models
Jianbin Zhang, Yulin Zhu, Wai Lun Lo +3
Large language models (LLMs) have achieved great success in medical question answering and clinical decision-making, promoting the efficiency and popularization of the personalized…
GUI-Actor: Coordinate-Free Visual Grounding for GUI Agents
Qianhui Wu, Kanzhi Cheng, Rui Yang +15
One of the principal challenges in building VLM-powered GUI agents is visual grounding, i.e., localizing the appropriate screen region for action execution based on both the visual…
CapArena: Benchmarking and Analyzing Detailed Image Captioning in the LLM Era
Kanzhi Cheng, Wenpo Song, Jiaxin Fan +7
Image captioning has been a longstanding challenge in vision-language research. With the rise of LLMs, modern Vision-Language Models (VLMs) generate detailed and comprehensive imag…
MixRED: A Mix-lingual Relation Extraction Dataset
Lingxing Kong, Yougang Chu, Zheng Ma +3
Relation extraction is a critical task in the field of natural language processing with numerous real-world applications. Existing research primarily focuses on monolingual relatio…
SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents
Kanzhi Cheng, Qiushi Sun, Yougang Chu +4
Graphical User Interface (GUI) agents are designed to automate complex tasks on digital devices, such as smartphones and desktops. Most existing GUI agents interact with the enviro…
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…
Probing Commonsense Reasoning Capability of Text-to-Image Generative Models via Non-visual Description
Mianzhi Pan, Jianfei Li, Mingyue Yu +4
Commonsense reasoning, the ability to make logical assumptions about daily scenes, is one core intelligence of human beings. In this work, we present a novel task and dataset for e…
Bounding and Filling: A Fast and Flexible Framework for Image Captioning
Zheng Ma, Changxin Wang, Bo Huang +2
Most image captioning models following an autoregressive manner suffer from significant inference latency. Several models adopted a non-autoregressive manner to speed up the proces…