Research: Low-Cost Detection of LLM Agent Fake Successes
Acceptable_Block_591 · reddit · 2026-07-08
A first-time submitter is seeking an arXiv cs.AI endorser for their paper, which addresses how LLM agents sometimes claim a task is complete when it isn't ("fake success," e.g., falsely claiming a refund is processed).
The researcher pre-registered and validated a low-cost approach: post-execution, logs are programmatically analyzed to compare the agent's "claimed results" against the "actual results from tool calls." This catches fake successes without needing to invoke an LLM-as-a-judge for every trajectory.
More from Research
- Alex Townsend posts 200 open problems in numerical linear algebra for humans and AI agents — IgorCarron · 2026-09-11
- Navier-Stokes, Riemann, P vs NP: what this week's math buzzwords mean for you — koltregaskes · 2026-09-11
- Fruit fly brain as an LLM: connectome-driven language model demo goes live — ngxson · 2026-09-11
- Harry Collins: LLMs can't do frontier science because they can't invent new language — whoamisri · 2026-09-11
- The Waymo effect: how AI is quietly making research less collaborative — JohnHammersley · 2026-09-11
- Causal-only attention for non-generative tasks is wasteful, argues HF engineer — antoine_chaffin · 2026-09-11