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20202026
most citedA Survey of Large Language Models

1.5k citations · 2.3k across the 39 of their papers we have counts for

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5 papers · 1 filter

cs.CL2026

BOOKMARKS: Efficient Active Storyline Memory for Role-playing

Letian Peng, Ziche Liu, Yiming Huang +4

Memory systems are critical for role-playing agents (RPAs) to maintain long-horizon consistency. However, existing RPA memory methods (e.g., profiling) mainly rely on incremental s…

cs.CL2024

Unlocking Decoding-time Controllability: Gradient-Free Multi-Objective Alignment with Contrastive Prompts

Tingchen Fu, Yupeng Hou, Julian McAuley +1

The task of multi-objective alignment aims at balancing and controlling the different alignment objectives (e.g., helpfulness, harmlessness and honesty) of large language models to…

cs.CL2024★ 1 cited

InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment

Jianing Wang, Junda Wu, Yupeng Hou +3

Do current large language models (LLMs) better solve graph reasoning and generation tasks with parameter updates? In this paper, we propose InstructGraph, a framework that empowers…

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.CL2020★ 5 cited

Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network

Shuqing Bian, Xu Chen, Wayne Xin Zhao +5

With the ever-increasing growth of online recruitment data, job-resume matching has become an important task to automatically match jobs with suitable resumes. This task is typical…