Evaluating and Benchmarking the System One Model Jev

arXiv:2609.37647 · cs.CL, cs.AI · Submitted 2026-09-29 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-09-29

Updated: 2026-09-29

Code: https://github.com/AppliedMachineLearning-Lab/jev-benchmarking

Terminology

• Accuracy — 39× in this paper · explained in 1 episode
• Benchmarking — 23× in this paper · explained in 3 episodes
• Benchmark — 17× in this paper · explained in 2 episodes
• Calibration — 16× in this paper · explained in 7 episodes
• Grounding — 11× in this paper · explained in 3 episodes
• AUROC — 7× in this paper · explained in 2 episodes
• Adam — 3× in this paper · explained in 2 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Low-Resource Languages — 2× in this paper · explained in 4 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Failure Modes — 1× in this paper · explained in 3 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Tokenization — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations
• Measuring Massive Multitask Language Understanding
• Lessons from the Trenches on Reproducible Evaluation of Language Models
• Language Models (Mostly) Know What They Know
• FinBERT: Financial Sentiment Analysis with Pre-trained Language Models
• Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

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