Cover Image

Diagnosing Failure Modes of Shared-State Collaboration in Resource-Constrained Visual Agents

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Zhou, Yunpeng
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Diagnosing Generalization Failures from Representational Geometry Markers
by: Chou, Chi-Ning, et al.
Published: (2026)

AgentCollabBench: Diagnosing When Good Agents Make Bad Collaborators
by: Mazumder, Aritra, et al.
Published: (2026)

Structural Instability of Feature Composition
by: Zhou, Yunpeng
Published: (2026)

Decentralised Resource Sharing in TinyML: Wireless Bilayer Gossip Parallel SGD for Collaborative Learning
by: Bao, Ziyuan, et al.
Published: (2025)

When Stability Fails: Hidden Failure Modes Of LLMS in Data-Constrained Scientific Decision-Making
by: Riasat, Nazia
Published: (2026)

Revealing Interpretable Failure Modes of VLMs
by: Chaudhary, Isha, et al.
Published: (2026)

Degradation Modeling and Prognostic Analysis Under Unknown Failure Modes
by: Fu, Ying, et al.
Published: (2024)

XAMBA: Enabling Efficient State Space Models on Resource-Constrained Neural Processing Units
by: Das, Arghadip, et al.
Published: (2025)

MemFail: Stress-Testing Failure Modes of LLM Memory Systems
by: Garg, Ishir, et al.
Published: (2026)

Solving Dual Sourcing Problems with Supply Mode Dependent Failure Rates
by: Akkerman, Fabian, et al.
Published: (2024)

Style Outweighs Substance: Failure Modes of LLM Judges in Alignment Benchmarking
by: Feuer, Benjamin, et al.
Published: (2024)

Diagnosing Structural Failures in LLM-Based Evidence Extraction for Meta-Analysis
by: Tan, Zhiyin, et al.
Published: (2026)

Improved Constrained Generation by Bridging Pretrained Generative Models
by: Liang, Xiaoxuan, et al.
Published: (2026)

Failure Modes in Multi-Hop QA: The Weakest Link Effect and the Recognition Bottleneck
by: Zhang, Meiru, et al.
Published: (2026)

Extreme Low-Bit Inference in Reasoning Models: Failure Modes and Targeted Recovery
by: Alimaskina, Ekaterina, et al.
Published: (2026)

Conditional Equivalence of DPO and RLHF: Implicit Assumption, Failure Modes, and Provable Alignment
by: Yang, Zhiqin, et al.
Published: (2026)

To Call or Not to Call: Diagnosing Intrinsic Over-Calling Bias in LLM Agents
by: Shi, Wei, et al.
Published: (2026)

Memory Allocation in Resource-Constrained Reinforcement Learning
by: Tamborski, Massimiliano, et al.
Published: (2025)

CoPS: Empowering LLM Agents with Provable Cross-Task Experience Sharing
by: Yang, Chen, et al.
Published: (2024)

FractalBench: Diagnosing Visual-Mathematical Reasoning Through Recursive Program Synthesis
by: Ondras, Jan, et al.
Published: (2025)

Scalable Constrained Multi-Agent Reinforcement Learning via State Augmentation and Consensus for Separable Dynamics
by: Amaya-Corredor, Santiago, et al.
Published: (2026)

Auto-Discovery-Bench: Diagnosing Structured State Tracking in Oracle-Guided Discovery
by: Chen, Tingting, et al.
Published: (2025)

From Signal Degradation to Computation Collapse: Uncovering the Two Failure Modes of LLM Quantization
by: Zhou, Chenxi, et al.
Published: (2026)

Resource-Constrained Affect Modelling via Variance Regularisation Pruning
by: Pinitas, Kosmas, et al.
Published: (2026)

Optimizing Blood Transfusions and Predicting Shortages in Resource-Constrained Areas
by: Belfarsi, El Arbi, et al.
Published: (2025)

State-Constrained Offline Reinforcement Learning
by: Hepburn, Charles A., et al.
Published: (2024)

Unleashing Diverse Thinking Modes in LLMs through Multi-Agent Collaboration
by: He, Zhixuan, et al.
Published: (2025)

Revisiting On-Policy Distillation: Empirical Failure Modes and Simple Fixes
by: Fu, Yuqian, et al.
Published: (2026)

Defending Against Unforeseen Failure Modes with Latent Adversarial Training
by: Casper, Stephen, et al.
Published: (2024)

Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive
by: Pal, Arka, et al.
Published: (2024)

SpikeSTAG: Spatial-Temporal Forecasting via GNN-SNN Collaboration
by: Hu, Bang, et al.
Published: (2025)

Mechanisms for Data Sharing in Collaborative Causal Inference (Extended Version)
by: Filter, Björn, et al.
Published: (2024)

Federation over Text: Insight Sharing for Multi-Agent Reasoning
by: Yao, Dixi, et al.
Published: (2026)

CausalFlow: Causal Attribution and Counterfactual Repair for LLM Agent Failures
by: Bonagiri, Akash, et al.
Published: (2026)

Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents
by: Dobrovsky, Aline, et al.
Published: (2025)

Efficient Zero-Order Federated Finetuning of Language Models for Resource-Constrained Devices
by: Ahmed, Mohamed Aboelenien, et al.
Published: (2025)

MetaCLBench: Meta Continual Learning Benchmark on Resource-Constrained Edge Devices
by: Li, Sijia, et al.
Published: (2025)

Leveraging Knowledge Distillation for Efficient Deep Reinforcement Learning in Resource-Constrained Environments
by: Meng, Guanlin
Published: (2023)

Graph of Agents: Principled Long Context Modeling by Emergent Multi-Agent Collaboration
by: Joo, Taejong, et al.
Published: (2025)

CollaFuse: Navigating Limited Resources and Privacy in Collaborative Generative AI
by: Zipperling, Domenique, et al.
Published: (2024)