activity
20232025
most citedFrom Persona to Personalization: A Survey on Role-Playing Language Agents

14 citations · 42 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CY2025★ 7 cited

LLM Agents for Education: Advances and Applications

Zhendong Chu, Shen Wang, Jian Xie +8

Large Language Model (LLM) agents are transforming education by automating complex pedagogical tasks and enhancing both teaching and learning processes. In this survey, we present…

cs.CL2025

MCiteBench: A Multimodal Benchmark for Generating Text with Citations

Caiyu Hu, Yikai Zhang, Tinghui Zhu +2

Multimodal Large Language Models (MLLMs) have advanced in integrating diverse modalities but frequently suffer from hallucination. A promising solution to mitigate this issue is to…

cs.CV2024★ 1 cited

Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models

Tinghui Zhu, Qin Liu, Fei Wang +2

Large Vision-Language Models (LVLMs) have demonstrated impressive capabilities for capturing and reasoning over multimodal inputs. However, these models are prone to parametric kno…

cs.CL2024★ 14 cited

From Persona to Personalization: A Survey on Role-Playing Language Agents

Jiangjie Chen, Xintao Wang, Rui Xu +15

Recent advancements in large language models (LLMs) have significantly boosted the rise of Role-Playing Language Agents (RPLAs), i.e., specialized AI systems designed to simulate a…

cs.CL2024★ 3 cited

How Easily do Irrelevant Inputs Skew the Responses of Large Language Models?

Siye Wu, Jian Xie, Jiangjie Chen +3

By leveraging the retrieval of information from external knowledge databases, Large Language Models (LLMs) exhibit enhanced capabilities for accomplishing many knowledge-intensive…

cs.CL2024★ 14 cited

TravelPlanner: A Benchmark for Real-World Planning with Language Agents

Jian Xie, Kai Zhang, Jiangjie Chen +5

Planning has been part of the core pursuit for artificial intelligence since its conception, but earlier AI agents mostly focused on constrained settings because many of the cognit…

cs.CL2024

Deductive Beam Search: Decoding Deducible Rationale for Chain-of-Thought Reasoning

Tinghui Zhu, Kai Zhang, Jian Xie +1

Recent advancements have significantly augmented the reasoning capabilities of Large Language Models (LLMs) through various methodologies, especially chain-of-thought (CoT) reasoni…

cs.CV2023★ 3 cited

Towards Visual Taxonomy Expansion

Tinghui Zhu, Jingping Liu, Jiaqing Liang +5

Taxonomy expansion task is essential in organizing the ever-increasing volume of new concepts into existing taxonomies. Most existing methods focus exclusively on using textual sem…