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20212026
most citedEGE-UNet: an Efficient Group Enhanced UNet for skin lesion segmentation

12 citations · 29 across the 17 of their papers we have counts for

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6 papers · 1 filter

cs.CL2025

MMReview: A Multidisciplinary and Multimodal Benchmark for LLM-Based Peer Review Automation

Xian Gao, Jiacheng Ruan, Zongyun Zhang +3

With the rapid growth of academic publications, peer review has become an essential yet time-consuming responsibility within the research community. Large Language Models (LLMs) ha…

cs.CL2025

ReviewAgents: Bridging the Gap Between Human and AI-Generated Paper Reviews

Xian Gao, Jiacheng Ruan, Zongyun Zhang +3

Academic paper review is a critical yet time-consuming task within the research community. With the increasing volume of academic publications, automating the review process has be…

cs.CL2023★ 2 cited

GIST: Improving Parameter Efficient Fine Tuning via Knowledge Interaction

Jiacheng Ruan, Jingsheng Gao, Mingye Xie +4

The Parameter-Efficient Fine-Tuning (PEFT) method, which adjusts or introduces fewer trainable parameters to calibrate pre-trained models on downstream tasks, has become a recent r…

cs.CL2023

LiveChat: A Large-Scale Personalized Dialogue Dataset Automatically Constructed from Live Streaming

Jingsheng Gao, Yixin Lian, Ziyi Zhou +2

Open-domain dialogue systems have made promising progress in recent years. While the state-of-the-art dialogue agents are built upon large-scale text-based social media data and la…

cs.CL2023★ 1 cited

Hierarchical Verbalizer for Few-Shot Hierarchical Text Classification

Ke Ji, Yixin Lian, Jingsheng Gao +1

Due to the complex label hierarchy and intensive labeling cost in practice, the hierarchical text classification (HTC) suffers a poor performance especially when low-resource or fe…

cs.CL2023

CluCDD:Contrastive Dialogue Disentanglement via Clustering

Jingsheng Gao, Zeyu Li, Suncheng Xiang +2

A huge number of multi-participant dialogues happen online every day, which leads to difficulty in understanding the nature of dialogue dynamics for both humans and machines. Dialo…