GroundEval is a judge-free framework that generates questions from a domain config, records agent trajectories, and scores answers plus evidence paths on Silence, Perspective, and Counterfactual tracks.
Measuring Attribution in Natural Language Generation Models.Computational Linguistics, 49(4):777–840, 2023
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
GroundEval: A Deterministic Replacement for LLM-as-Judge in Stateful Agent Evaluation
GroundEval is a judge-free framework that generates questions from a domain config, records agent trajectories, and scores answers plus evidence paths on Silence, Perspective, and Counterfactual tracks.