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cs.AI2026
Believed but Not Said: Measuring Hidden Belief Collapse in Multi-Agent LLM Discussions
Liangjie Huang, Henry Peng Zou, Wei-Chieh Huang +3
LLM systems increasingly rely on groups of agents that discuss, critique, and check one another, assuming that peers will catch individual errors. We test this assumption against a…
cs.LG2026
DynGraphAgentBench: A Benchmark for Agentic Lifecycle Control in Dynamic Graph Anomaly Detection
Yuwei Han, Lingwei Wei, Wooseong Yang +4
Dynamic graph anomaly detection requires repeated decisions as graph structure and class prevalence drift, yet detector benchmarks usually score a fixed pipeline after current labe…