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20212024
most citedDISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services

26 citations · 37 across the 11 of their papers we have counts for

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cs.CL2024

From LLMs to MLLMs: Exploring the Landscape of Multimodal Jailbreaking

Siyuan Wang, Zhuohan Long, Zhihao Fan +1

The rapid development of Large Language Models (LLMs) and Multimodal Large Language Models (MLLMs) has exposed vulnerabilities to various adversarial attacks. This paper provides a…

cs.CL2024

ALaRM: Align Language Models via Hierarchical Rewards Modeling

Yuhang Lai, Siyuan Wang, Shujun Liu +2

We introduce ALaRM, the first framework modeling hierarchical rewards in reinforcement learning from human feedback (RLHF), which is designed to enhance the alignment of large lang…

cs.CL20234 cited

DISC-FinLLM: A Chinese Financial Large Language Model based on Multiple Experts Fine-tuning

Wei Chen, Qiushi Wang, Zefei Long +8

We propose Multiple Experts Fine-tuning Framework to build a financial large language model (LLM), DISC-FinLLM. Our methodology improves general LLMs by endowing them with multi-tu…

cs.CL202326 cited

DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services

Shengbin Yue, Wei Chen, Siyuan Wang +8

We propose DISC-LawLLM, an intelligent legal system utilizing large language models (LLMs) to provide a wide range of legal services. We adopt legal syllogism prompting strategies…

cs.CL2023

DistilXLSR: A Light Weight Cross-Lingual Speech Representation Model

Haoyu Wang, Siyuan Wang, Wei-Qiang Zhang +1

Multilingual self-supervised speech representation models have greatly enhanced the speech recognition performance for low-resource languages, and the compression of these huge mod…

cs.CL2023

Query Structure Modeling for Inductive Logical Reasoning Over Knowledge Graphs

Siyuan Wang, Zhongyu Wei, Meng Han +4

Logical reasoning over incomplete knowledge graphs to answer complex logical queries is a challenging task. With the emergence of new entities and relations in constantly evolving…