Comprehensiveness Metrics for Automatic Evaluation of Factual Recall in Text Generation

arXiv:2510.07926 · cs.CL · Submitted 2025-10-09 · Read on arXiv

cs.CL

Submitted: 2025-10-09

Updated: 2026-05-07

Comments: ACL 2026 Findings

Journal ref: Findings of the Association for Computational Linguistics: ACL 2026, 34931-34966. 2026

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Benchmark — 9× in this paper · explained in 2 episodes
Hallucination — 6× in this paper · explained in 3 episodes
Consistency — 5× in this paper · explained in 3 episodes
RAG — 5× in this paper · explained in 3 episodes
Robustness — 5× in this paper · explained in 5 episodes
Clustering — 4× in this paper · explained in 2 episodes
Core — 4× in this paper · explained in 2 episodes
Interpretability — 4× in this paper · explained in 15 episodes
Adam — 3× in this paper · explained in 2 episodes
Large Language Models (LLMs) — 3× in this paper · explained in 6 episodes
Natural Language Inference (NLI) — 3× in this paper · explained in 2 episodes
Accuracy — 2× in this paper · explained in 1 episode
Alignment — 2× in this paper · explained in 1 episode
Adaptability — 1× in this paper · explained in 1 episode
Computational overhead — 1× in this paper · explained in 2 episodes
Diagnostic Tools — 1× in this paper · explained in 2 episodes
Generative AI — 1× in this paper · explained in 2 episodes
Graph Construction — 1× in this paper · explained in 3 episodes
Retrieval-Augmented Generation (RAG) — 1× in this paper · explained in 16 episodes