most citedEAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration

15 citations · 41 across the 18 of their papers we have counts for

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5 papers · 1 filter

cs.AI2025

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge

Luyu Chen, Zeyu Zhang, Haoran Tan +4

LLMs have emerged as powerful evaluators in the LLM-as-a-Judge paradigm, offering significant efficiency and flexibility compared to human judgments. However, previous methods prim…

cs.AI2025

MemEngine: A Unified and Modular Library for Developing Advanced Memory of LLM-based Agents

Zeyu Zhang, Quanyu Dai, Xu Chen +3

Recently, large language model based (LLM-based) agents have been widely applied across various fields. As a critical part, their memory capabilities have captured significant inte…

cs.AI2024

ChinaTravel: An Open-Ended Travel Planning Benchmark with Compositional Constraint Validation for Language Agents

Jie-Jing Shao, Bo-Wen Zhang, Xiao-Wen Yang +8

Travel planning stands out among real-world applications of \emph{Language Agents} because it couples significant practical demand with a rigorous constraint-satisfaction challenge…

cs.AI2024

MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants

Zeyu Zhang, Quanyu Dai, Luyu Chen +7

LLM-based agents have been widely applied as personal assistants, capable of memorizing information from user messages and responding to personal queries. However, there still lack…

cs.AI2024★ 11 cited

A Survey on the Memory Mechanism of Large Language Model based Agents

Zeyu Zhang, Xiaohe Bo, Chen Ma +6

Large language model (LLM) based agents have recently attracted much attention from the research and industry communities. Compared with original LLMs, LLM-based agents are feature…