Right Answers, Wrong States: Hidden Information Failures in Multi-Agent Collaboration

arXiv:2610.01244 · cs.CL · Submitted 2026-10-01 · Read on arXiv

cs.CL

Submitted: 2026-10-01

Updated: 2026-10-01

Code: https://github.com/whr000001/OffQuery

Terminology

• Verification — 46× in this paper · explained in 2 episodes
• Consistency — 27× in this paper · explained in 3 episodes
• Accuracy — 26× in this paper · explained in 1 episode
• Benchmark — 21× in this paper · explained in 2 episodes
• Multi-agent Collaboration — 13× in this paper · explained in 2 episodes
• Multi-Agent System — 11× in this paper · explained in 5 episodes
• Adam — 6× in this paper · explained in 2 episodes
• LLM judge — 6× in this paper · explained in 2 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Adaptation — 4× in this paper · explained in 1 episode
• Aggregation — 4× in this paper · explained in 1 episode
• LLM-as-a-Judge — 4× in this paper · explained in 3 episodes
• Alignment — 3× in this paper · explained in 1 episode
• Provenance — 2× in this paper · explained in 3 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Adaptability — 1× in this paper · explained in 1 episode
• Adversarial Attacks — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Communication Overhead — 1× in this paper · explained in 2 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• Homogenization — 1× in this paper · explained in 2 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Multi-Agent Framework — 1× in this paper · explained in 3 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Resource Constraints — 1× in this paper · explained in 3 episodes
• Steering — 1× in this paper · explained in 2 episodes
• Sycophancy — 1× in this paper · explained in 4 episodes
• Verifiability — 1× in this paper · explained in 2 episodes

Sources

• Beyond Brainstorming: What Drives High-Quality Scientific Ideas? Lessons from Multi-Agent Collaboration
• GPT-4o System Card
• FlowSteer: Prompt-Only Workflow Steering Exposes Planning-Time Vulnerabilities in Multi-Agent LLM Systems
• OpenAI GPT-5 System Card
• The Deliberative Illusion: Diagnosing Factual Attrition and Stance Homogenization in Multi-Agent LLM Deliberation
• When Truth Is Distributed: Misinformation Derails Collective Fact Recovery in LLM-Based Multi-Agent Systems
• Qwen3 Technical Report

Related papers

• Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving
• Ishigaki-IDS-Bench: A Benchmark for Generating Information Delivery Specification from BIM Information Requirements
• Subliminal Steering: Stronger Encoding of Hidden Signals
• MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports
• The End of Transformers? On Challenging Attention and the Rise of Sub-Quadratic Architectures
• Untangling the Mechanisms of Misleading Context in Medical Question Answering