most citedLawLLM: Law Large Language Model for the US Legal System

40 citations · 70 across the 11 of their papers we have counts for

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cs.CL2025

SAE-SSV: Supervised Steering in Sparse Representation Spaces for Reliable Control of Language Models

Zirui He, Mingyu Jin, Bo Shen +3

Large language models (LLMs) have demonstrated impressive capabilities in natural language understanding and generation, but controlling their behavior reliably remains challenging…

cs.CL2024★ 40 cited

LawLLM: Law Large Language Model for the US Legal System

Dong Shu, Haoran Zhao, Xukun Liu +3

In the rapidly evolving field of legal analytics, finding relevant cases and accurately predicting judicial outcomes are challenging because of the complexity of legal language, wh…

cs.CL2024

Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models

Qingcheng Zeng, Mingyu Jin, Qinkai Yu +12

Large Language Models (LLMs) are employed across various high-stakes domains, where the reliability of their outputs is crucial. One commonly used method to assess the reliability…

cs.CL2024

Knowledge Graph Large Language Model (KG-LLM) for Link Prediction

Dong Shu, Tianle Chen, Mingyu Jin +3

The task of multi-hop link prediction within knowledge graphs (KGs) stands as a challenge in the field of knowledge graph analysis, as it requires the model to reason through and u…

cs.CL2024★ 2 cited

What if LLMs Have Different World Views: Simulating Alien Civilizations with LLM-based Agents

Zhaoqian Xue, Beichen Wang, Suiyuan Zhu +5

This study introduces "CosmoAgent," an innovative artificial intelligence system that utilizes Large Language Models (LLMs) to simulate complex interactions between human and extra…

cs.CL2024★ 3 cited

Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities

Hua Tang, Chong Zhang, Mingyu Jin +5

Large language models (LLMs) have been applied in many fields and have developed rapidly in recent years. As a classic machine learning task, time series forecasting has recently b…