Signals 4 · free daily AI digest

When Linguistic and Internal Confidence Diverge in Large Language Models

Paper recorded by Signals 4 on 2026-08-28 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-08-28 on arXiv · recorded by Signals 4 on 2026-08-31

Category: cs.CL · 自然语言处理 · first seen 2026-08-31

Abstract

Users often ask large language models (LLMs) to report how confident they are, but it is unclear whether such linguistic confidence tracks the model's internal confidence. We study this question across 8 classification tasks, 2 generation tasks and 30 models from three families. For classification, we compare linguistic confidence with logits-based confidence along three axes: association, magnitu

Read on arXiv →

#184 most recent of 186 cs.CL papers we have recorded · ↑ newer: Semantic Head Specialization Guides Hybrid ViT Attention for Multimoda · ↓ older: PersonaForge: Realistic Multi-Turn User Simulation for Agentic Systems
Cite this page: When Linguistic and Internal Confidence Diverge in Large Language Models: the #184 most recent of 186 cs.CL papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/when-linguistic-and-internal-confidence-diverge-in-large-language-models.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
Related: More cs.CL papers · arXiv signals · All papers · Today in AI
Get 4 AI signals a day by email — free.
Subscribe free → See all plans →
Get 4 AI signals a day by email — free
All models · All repos · By company · Daily editions