activity
20202024
most citedA Survey of Large Language Models

1.5k citations · 1.6k across the 9 of their papers we have counts for

collaborators

9 papers

cs.MA2024★ 1 cited

GenSim: A General Social Simulation Platform with Large Language Model based Agents

Jiakai Tang, Heyang Gao, Xuchen Pan +11

With the rapid advancement of large language models (LLMs), recent years have witnessed many promising studies on leveraging LLM-based agents to simulate human social behavior. Whi…

cs.CL2024

LLMBox: A Comprehensive Library for Large Language Models

Tianyi Tang, Yiwen Hu, Bingqian Li +22

To facilitate the research on large language models (LLMs), this paper presents a comprehensive and unified library, LLMBox, to ease the development, use, and evaluation of LLMs. T…

cs.CL2024

YuLan: An Open-source Large Language Model

Yutao Zhu, Kun Zhou, Kelong Mao +35

Large language models (LLMs) have become the foundation of many applications, leveraging their extensive capabilities in processing and understanding natural language. While many o…

cs.CL2024

Towards Coarse-to-Fine Evaluation of Inference Efficiency for Large Language Models

Yushuo Chen, Tianyi Tang, Erge Xiang +5

In real world, large language models (LLMs) can serve as the assistant to help users accomplish their jobs, and also support the development of advanced applications. For the wide…

cs.CL2023

Learning to Imagine: Visually-Augmented Natural Language Generation

Tianyi Tang, Yushuo Chen, Yifan Du +3

People often imagine relevant scenes to aid in the writing process. In this work, we aim to utilize visual information for composition in the same manner as humans. We propose a me…

cs.CL2023★ 1.5k cited

A Survey of Large Language Models

Wayne Xin Zhao, Kun Zhou, Junyi Li +19

Language is essentially a complex, intricate system of human expressions governed by grammatical rules. It poses a significant challenge to develop capable AI algorithms for compre…

cs.IR2022★ 6 cited

Recent Advances in RecBole: Extensions with more Practical Considerations

Lanling Xu, Zhen Tian, Gaowei Zhang +10

RecBole has recently attracted increasing attention from the research community. As the increase of the number of users, we have received a number of suggestions and update request…

cs.IR2022

RecBole 2.0: Towards a More Up-to-Date Recommendation Library

Wayne Xin Zhao, Yupeng Hou, Xingyu Pan +16

In order to support the study of recent advances in recommender systems, this paper presents an extended recommendation library consisting of eight packages for up-to-date topics a…

cs.IR2020★ 39 cited

RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms

Wayne Xin Zhao, Shanlei Mu, Yupeng Hou +16

In recent years, there are a large number of recommendation algorithms proposed in the literature, from traditional collaborative filtering to deep learning algorithms. However, th…