most citedDeliLaw: A Chinese Legal Counselling System Based on a Large Language Model

4 citations · 5 across the 2 of their papers we have counts for

collaborators

5 papers

cs.HC2025

Is AI mingling or bullying me? Exploring User Interactions with a Chatbot in China

Nuo Chen, Pu Yan, Jia Li +1

Since its viral emergence in early 2024, Comment Robert-a Weibo-launched social chatbot-has gained widespread attention on the Chinese Internet for its unsolicited and unpredictabl…

cs.CL2024

Can MLLMs Understand the Deep Implication Behind Chinese Images?

Chenhao Zhang, Xi Feng, Yuelin Bai +18

As the capabilities of Multimodal Large Language Models (MLLMs) continue to improve, the need for higher-order capability evaluation of MLLMs is increasing. However, there is a lac…

cs.CL20244 cited

DeliLaw: A Chinese Legal Counselling System Based on a Large Language Model

Nan Xie, Yuelin Bai, Hengyuan Gao +7

Traditional legal retrieval systems designed to retrieve legal documents, statutes, precedents, and other legal information are unable to give satisfactory answers due to lack of s…

cs.CL2024

II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models

Ziqiang Liu, Feiteng Fang, Xi Feng +23

The rapid advancements in the development of multimodal large language models (MLLMs) have consistently led to new breakthroughs on various benchmarks. In response, numerous challe…

cs.AI20241 cited

CLHA: A Simple yet Effective Contrastive Learning Framework for Human Alignment

Feiteng Fang, Liang Zhu, Min Yang +6

Reinforcement learning from human feedback (RLHF) is a crucial technique in aligning large language models (LLMs) with human preferences, ensuring these LLMs behave in beneficial a…