grounding
2 published articles
LLM Agents
The regression tax: why loading LLM agents with skills can backfire
A new study shows that adding procedural skills to LLM agents does not always help, it can introduce regressions, where tasks previously solved without skills are failed after skills are added. The research identifies three causes and argues that reliability depends more on grounding and verification than on the skill itself.
2026-08-03
A new study reveals the blind judge
Why your AI model's self-review is structurally blind to visual defects
New research from Pine AI and the University of Washington introduces 'grounding' as the key variable governing a third axis of test-time compute: interaction scaling. The findings show that a deterministic instrument measuring actual layout outperforms VLM-on-screenshot evaluation, fixing 40-74% of defects on visual modalities while the standard metric sees nothing.
2026-07-31