:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Gu, Zhouhong, Zhu, Xiaoxuan, Cai, Yin, Shen, Hao, Chen, Xingzhou, Wang, Qingyi, Li, Jialin, Shi, Xiaoran, Guo, Haoran, Huang, Wenxuan, Feng, Hongwei, Xiao, Yanghua, Ye, Zheyu, Hu, Yao, Cao, Shaosheng
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2506.15451
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AgentGroupChat: An Interactive Group Chat Simulacra For Better Eliciting Emergent Behavior
by: Gu, Zhouhong, et al.
Published: (2024)

Scaling Behavior of Single LLM-Driven Multi-Agent Systems
by: Li, Jialing, et al.
Published: (2026)

GAPO: Learning Preferential Prompt through Generative Adversarial Policy Optimization
by: Gu, Zhouhong, et al.
Published: (2025)

VCEval: Rethinking What is a Good Educational Video and How to Automatically Evaluate It
by: Zhu, Xiaoxuan, et al.
Published: (2024)

StrucText-Eval: Evaluating Large Language Model's Reasoning Ability in Structure-Rich Text
by: Gu, Zhouhong, et al.
Published: (2024)

RECKON: Large-scale Reference-based Efficient Knowledge Evaluation for Large Language Model
by: Zhang, Lin, et al.
Published: (2025)

MIRAGE: Exploring How Large Language Models Perform in Complex Social Interactive Environments
by: Cai, Yin, et al.
Published: (2025)

GCAgent: Enhancing Group Chat Communication through Dialogue Agents System
by: Meng, Zijie, et al.
Published: (2026)

Piecing Together Clues: A Benchmark for Evaluating the Detective Skills of Large Language Models
by: Gu, Zhouhong, et al.
Published: (2023)

DetectBench: Can Large Language Model Detect and Piece Together Implicit Evidence?
by: Gu, Zhouhong, et al.
Published: (2024)

Efficiently Quantifying and Mitigating Ripple Effects in Model Editing
by: Wang, Jianchen, et al.
Published: (2024)

ToReMi: Topic-Aware Data Reweighting for Dynamic Pre-Training Data Selection
by: Zhu, Xiaoxuan, et al.
Published: (2025)

LITE: LLM-Impelled efficient Taxonomy Evaluation
by: Zhang, Lin, et al.
Published: (2025)

LLM-GAN: Construct Generative Adversarial Network Through Large Language Models For Explainable Fake News Detection
by: Wang, Yifeng, et al.
Published: (2024)

AutoScraper: A Progressive Understanding Web Agent for Web Scraper Generation
by: Huang, Wenhao, et al.
Published: (2024)

Enhancing LLM Character-Level Manipulation via Divide and Conquer
by: Xiong, Zhen, et al.
Published: (2025)

Accurate and Scalable Matrix Mechanisms via Divide and Conquer
by: He, Guanlin, et al.
Published: (2026)

Divide-or-Conquer? Which Part Should You Distill Your LLM?
by: Wu, Zhuofeng, et al.
Published: (2024)

Divide by Question, Conquer by Agent: SPLIT-RAG with Question-Driven Graph Partitioning
by: Yang, Ruiyi, et al.
Published: (2025)

OmAgent: A Multi-modal Agent Framework for Complex Video Understanding with Task Divide-and-Conquer
by: Zhang, Lu, et al.
Published: (2024)

MARO: Learning Stronger Reasoning from Social Interaction
by: Cai, Yin, et al.
Published: (2026)

Long Context Scaling: Divide and Conquer via Multi-Agent Question-driven Collaboration
by: Xiao, Sibo, et al.
Published: (2025)

Can Agent Conquer Web? Exploring the Frontiers of ChatGPT Atlas Agent in Web Games
by: Zhang, Jingran, et al.
Published: (2025)

Visual Para-Thinker: Divide-and-Conquer Reasoning for Visual Comprehension
by: Xu, Haoran, et al.
Published: (2026)

Plug-and-Play Dramaturge: A Divide-and-Conquer Approach for Iterative Narrative Script Refinement via Collaborative LLM Agents
by: Xie, Wenda, et al.
Published: (2025)

A Divide and Conquer Algorithm for Deciding Group Cellular Automata Dynamics
by: Castronuovo, Niccolo', et al.
Published: (2025)

GraphDC: A Divide-and-Conquer Multi-Agent System for Scalable Graph Algorithm Reasoning
by: Li, Wenjin, et al.
Published: (2026)

Comprehend, Divide, and Conquer: Feature Subspace Exploration via Multi-Agent Hierarchical Reinforcement Learning
by: Zhang, Weiliang, et al.
Published: (2025)

ConcEPT: Concept-Enhanced Pre-Training for Language Models
by: Wang, Xintao, et al.
Published: (2024)

Automatically Generating UI Code from Screenshot: A Divide-and-Conquer-Based Approach
by: Wan, Yuxuan, et al.
Published: (2024)

Dividing and Conquering the Van Vleck Catastrophe
by: Simon, Sophia, et al.
Published: (2025)

Divide and Conquer: Grounding LLMs as Efficient Decision-Making Agents via Offline Hierarchical Reinforcement Learning
by: Hu, Zican, et al.
Published: (2025)

A Divide-and-Conquer Machine Learning Approach for Modelling Turbulent Flows
by: Man, Anthony, et al.
Published: (2024)

Group Deliberation Oriented Multi-Agent Conversational Model for Complex Reasoning
by: Shi, Zheyu, et al.
Published: (2025)

Hierarchical Divide-and-Conquer for Fine-Grained Alignment in LLM-Based Medical Evaluation
by: Zheng, Shunfan, et al.
Published: (2025)

DCDM: Divide-and-Conquer Diffusion Models for Consistency-Preserving Video Generation
by: Zhao, Haoyu, et al.
Published: (2026)

Single-Reset Divide & Conquer Imitation Learning
by: Chenu, Alexandre, et al.
Published: (2024)

A Divide-and-Conquer Approach to Persistent Homology
by: Li, Chenghui, et al.
Published: (2024)

Adaptive Divide and Conquer with Two Rounds of Communication
by: Kal, Niladri, et al.
Published: (2025)

Divide-and-Conquer Simulation of Open Quantum Systems
by: Azevedo, Thiago Melo D., et al.
Published: (2025)