Cover Image

Locally Coherent, Globally Incoherent: Bounding Compositional Incoherence in Multi-Component LLM Agents

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Kotawala, Anany
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Resolution Diagnostics for Paired LLM Evaluation
by: Kotawala, Anany
Published: (2026)

Incoherent Probability Judgments in Large Language Models
by: Zhu, Jian-Qiao, et al.
Published: (2024)

QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks
by: Tseng, Albert, et al.
Published: (2024)

GENSTRAT: Toward a Science of Strategic Reasoning in Large Language Models
by: Shadarevian, Vartan, et al.
Published: (2026)

Uncertainty Quantification for Multimodal Large Language Models with Incoherence-adjusted Semantic Volume
by: Lau, Gregory Kang Ruey, et al.
Published: (2026)

Incoherence as Oracle-less Measure of Error in LLM-Based Code Generation
by: Valentin, Thomas, et al.
Published: (2025)

Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?
by: Wang, Qineng, et al.
Published: (2024)

HiPlan: Hierarchical Planning for LLM-Based Agents with Adaptive Global-Local Guidance
by: Li, Ziyue, et al.
Published: (2025)

Incoherence in Goal-Conditioned Autoregressive Models
by: Karwowski, Jacek, et al.
Published: (2025)

Are LLM Agents Behaviorally Coherent? Latent Profiles for Social Simulation
by: Mooney, James, et al.
Published: (2025)

MIRIX: Multi-Agent Memory System for LLM-Based Agents
by: Wang, Yu, et al.
Published: (2025)

From Personal to Collective: On the Role of Local and Global Memory in LLM Personalization
by: Wang, Zehong, et al.
Published: (2025)

Automated Composition of Agents: A Knapsack Approach for Agentic Component Selection
by: Yuan, Michelle, et al.
Published: (2025)

Emergent Convergence in Multi-Agent LLM Annotation
by: Parfenova, Angelina, et al.
Published: (2025)

Insight Agents: An LLM-Based Multi-Agent System for Data Insights
by: Bai, Jincheng, et al.
Published: (2026)

Beyond Component Strength: Synergistic Integration and Adaptive Calibration in Multi-Agent RAG Systems
by: Krishnan, Jithin
Published: (2025)

Asymmetric Actor-Critic for Multi-turn LLM Agents
by: Jiang, Shuli, et al.
Published: (2026)

Unlocking the Power of Multi-Agent LLM for Reasoning: From Lazy Agents to Deliberation
by: Zhang, Zhiwei, et al.
Published: (2025)

LocAgent: Graph-Guided LLM Agents for Code Localization
by: Chen, Zhaoling, et al.
Published: (2025)

Agentic CLEAR: Automating Multi-Level Evaluation of LLM Agents
by: Yehudai, Asaf, et al.
Published: (2026)

CREFT: Sequential Multi-Agent LLM for Character Relation Extraction
by: Chun, Ye Eun, et al.
Published: (2025)

Mango: Multi-Agent Web Navigation via Global-View Optimization
by: Tong, Weixi, et al.
Published: (2026)

AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent Collaboration
by: Wang, Zhexuan, et al.
Published: (2025)

AutoSCORE: Enhancing Automated Scoring with Multi-Agent Large Language Models via Structured Component Recognition
by: Wang, Yun, et al.
Published: (2025)

CascadeDebate: Multi-Agent Deliberation for Cost-Aware LLM Cascades
by: Chang, Raeyoung, et al.
Published: (2026)

Small LLMs Are Weak Tool Learners: A Multi-LLM Agent
by: Shen, Weizhou, et al.
Published: (2024)

Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent System
by: Chen, Weize, et al.
Published: (2024)

ACC-Collab: An Actor-Critic Approach to Multi-Agent LLM Collaboration
by: Estornell, Andrew, et al.
Published: (2024)

Is Your LLM Really Mastering the Concept? A Multi-Agent Benchmark
by: Xu, Shuhang, et al.
Published: (2025)

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions
by: Hu, Yuanzhe, et al.
Published: (2025)

Zodiac: A Cardiologist-Level LLM Framework for Multi-Agent Diagnostics
by: Zhou, Yuan, et al.
Published: (2024)

Evaluating LLM-based Agents for Multi-Turn Conversations: A Survey
by: Guan, Shengyue, et al.
Published: (2025)

MAC-Tuning: LLM Multi-Compositional Problem Reasoning with Enhanced Knowledge Boundary Awareness
by: Huang, Junsheng, et al.
Published: (2025)

More Is Not Always Better: Cross-Component Interference in LLM Agent Scaffolding
by: Liu, Ming
Published: (2026)

DECOR: Improving Coherence in L2 English Writing with a Novel Benchmark for Incoherence Detection, Reasoning, and Rewriting
by: Zhang, Xuanming, et al.
Published: (2024)

Multi-Agent LLM Judge: automatic personalized LLM judge design for evaluating natural language generation applications
by: Cao, Hongliu, et al.
Published: (2025)

Dynamic Generation of Multi-LLM Agents Communication Topologies with Graph Diffusion Models
by: Jiang, Eric Hanchen, et al.
Published: (2025)

Toward Verifiable Misinformation Detection: A Multi-Tool LLM Agent Framework
by: Cui, Zikun, et al.
Published: (2025)

MSCoRe: A Benchmark for Multi-Stage Collaborative Reasoning in LLM Agents
by: Lei, Yuzhen, et al.
Published: (2025)

Amory: Building Coherent Narrative-Driven Agent Memory through Agentic Reasoning
by: Zhou, Yue, et al.
Published: (2026)