Can Decision Models Understand Stance? Evaluating Jev Against General-Purpose LLMs

arXiv:2610.11901 · cs.CL · Submitted 2026-10-08 · Read on arXiv

cs.CL

Submitted: 2026-10-08

Updated: 2026-10-08

Comments: 8 pages, 1 figure, 5 tables

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

Terminology

• F1 Score — 6× in this paper · explained in 3 episodes
• Contrastive Learning — 5× in this paper · explained in 7 episodes
• Accuracy — 4× in this paper · explained in 1 episode
• Fine-Tuning — 3× in this paper · explained in 5 episodes
• Generalization — 3× in this paper · explained in 13 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Large Language Models (LLMs) — 1× in this paper · explained in 8 episodes

Sources

• Jev for Scientific Decisions: Evaluating Semantic Choices and Their Consequences
• LoRA: Low-Rank Adaptation of Large Language Models
• Can Jev Judge Radiology Reports? Evaluating a System One Model for Clinical Factuality
• Qwen2.5 Technical Report
• Decision Models vs. LLMs as Rubric Judges: Cheaper, Faster, and Wrong in the Same Places
• Stance in Replies and Quotes (SRQ): A New Dataset For Learning Stance in Twitter Conversations
• Same Scores, Different Decisions: Evaluating JEV and Language Models for Legal Document Understanding

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