:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhou, Lingfeng, Shi, Junhao, Gao, Jin, Wang, Dequan
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2604.10182
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FlockVote: LLM-Empowered Agent-Based Modeling for Simulating U.S. Presidential Elections
by: Zhou, Lingfeng, et al.
Published: (2025)

Aligned Agents, Biased Swarm: Measuring Bias Amplification in Multi-Agent Systems
by: Li, Keyu, et al.
Published: (2026)

Intelligent Computing Social Modeling and Methodological Innovations in Political Science in the Era of Large Language Models
by: Wang, Zhenyu, et al.
Published: (2024)

Style-Preserving Policy Optimization for Game Agents
by: Li, Lingfeng, et al.
Published: (2025)

Data-Centric Foundation Models in Computational Healthcare: A Survey
by: Zhang, Yunkun, et al.
Published: (2024)

ICPC: In-context Prompt Compression with Faster Inference
by: Yu, Ziyang, et al.
Published: (2025)

Trustworthy Agent Network: Trust in Agent Networks Must Be Baked In, Not Bolted On
by: Yao, Yixiang, et al.
Published: (2026)

MAC: A Live Benchmark for Multimodal Large Language Models in Scientific Understanding
by: Jiang, Mohan, et al.
Published: (2025)

Dissecting Dissonance: Benchmarking Large Multimodal Models Against Self-Contradictory Instructions
by: Gao, Jin, et al.
Published: (2024)

LLMs Should Not Yet Be Credited with Decision Explanation
by: Wang, Wenshuo
Published: (2026)

Position: AI Safety Must Embrace an Antifragile Perspective
by: Jin, Ming, et al.
Published: (2025)

What Capable Agents Must Know: Selection Theorems for Robust Decision-Making under Uncertainty
by: Nayebi, Aran
Published: (2026)

Search-Based Credit Assignment for Offline Preference-Based Reinforcement Learning
by: Gao, Xiancheng, et al.
Published: (2025)

AgencyBench: Benchmarking the Frontiers of Autonomous Agents in 1M-Token Real-World Contexts
by: Li, Keyu, et al.
Published: (2026)

Some[Body] Must Receive That Pain for Agent Accountability
by: Hu, Botao Amber, et al.
Published: (2026)

QLLM: Do We Really Need a Mixing Network for Credit Assignment in Multi-Agent Reinforcement Learning?
by: Li, Yuanjun, et al.
Published: (2025)

Detection of LLM-Paraphrased Code and Identification of the Responsible LLM Using Coding Style Features
by: Park, Shinwoo, et al.
Published: (2025)

Parallax: Why AI Agents That Think Must Never Act
by: Fokou, Joel
Published: (2026)

BAGEN: Are LLM Agents Budget-Aware?
by: Lin, Yuxiang, et al.
Published: (2026)

High Noise Scheduling is a Must
by: Gokmen, Mahmut S., et al.
Published: (2024)

Every Software as an Agent: Blueprint and Case Study
by: Xu, Mengwei
Published: (2025)

Act Only When It Pays: Efficient Reinforcement Learning for LLM Reasoning via Selective Rollouts
by: Zheng, Haizhong, et al.
Published: (2025)

Budget-Aware Tool-Use Enables Effective Agent Scaling
by: Liu, Tengxiao, et al.
Published: (2025)

Simulating Multi-Stakeholder Decision-Making with Generative Agents in Urban Planning
by: Gao, Jin, et al.
Published: (2024)

Reasoning-Style Poisoning of LLM Agents via Stealthy Style Transfer: Process-Level Attacks and Runtime Monitoring in RSV Space
by: Zhou, Xingfu, et al.
Published: (2025)

AI Must not be Fully Autonomous
by: Adewumi, Tosin, et al.
Published: (2025)

ContextBudget: Budget-Aware Context Management for Long-Horizon Search Agents
by: Wu, Yong, et al.
Published: (2026)

Proximity-Based Multi-Turn Optimization: Practical Credit Assignment for LLM Agent Training
by: Fang, Yangyi, et al.
Published: (2026)

Exact Is Easier: Credit Assignment for Cooperative LLM Agents
by: Chen, Yanjun, et al.
Published: (2026)

When Is Rank-1 Steering Cheap? Geometry, Granularity, and Budgeted Search
by: Robertson, John T., et al.
Published: (2026)

Knowledge Distillation Must Account for What It Loses
by: Wang, Wenshuo
Published: (2026)

Pay Attention to Small Weights
by: Zhou, Chao, et al.
Published: (2025)

Counterfactual Credit Policy Optimization for Multi-Agent Collaboration
by: Li, Zhongyi, et al.
Published: (2026)

DatasetResearch: Benchmarking Agent Systems for Demand-Driven Dataset Discovery
by: Li, Keyu, et al.
Published: (2025)

A Style is Worth One Code: Unlocking Code-to-Style Image Generation with Discrete Style Space
by: Liu, Huijie, et al.
Published: (2025)

Agentic AI for Autonomous, Explainable, and Real-Time Credit Risk Decision-Making
by: Kubam, Chandra Sekhar
Published: (2025)

Mxplainer: Explain and Learn Insights by Imitating Mahjong Agents
by: Li, Lingfeng, et al.
Published: (2025)

Decoupling Return-to-Go for Efficient Decision Transformer
by: Wang, Yongyi, et al.
Published: (2026)

Quality-Aware Exploration Budget Allocation for Cooperative Multi-Agent Reinforcement Learning
by: Oh, Dahyun, et al.
Published: (2026)

Phase Transition for Budgeted Multi-Agent Synergy
by: Liu, Bang, et al.
Published: (2026)