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# Paper: Decision-Making with Lightweight Confidence-Aware Language Model for Autonomous Driving
---
type: paper
title: Decision-Making with Lightweight Confidence-Aware Language Model for Autonomous Driving
authors: Ruoyu Yao, Ruiguo Zhong, Pei Liu, Mingxing Peng, Rui Yang, Jun Ma
year: 2026
venue: arXiv
url: https://arxiv.org/abs/2605.25393
code_url:
source: arxiv
collected_at: 2026-07-08
published_at: 2026-05-25
updated_at: 2026-05-25
status: queued
relevance: high
topics:
- agent-evaluation
- multi-agent
- planning
- rag
- reasoning
- tool-use
- workflow-agent
methods:
-
benchmarks:
-
models:
-
datasets:
- cs.RO
related_concepts:
-
related_jobs:
-
related_experiments:
-
related_projects:
-
collection_score: 14
collection_queries: rag-agent
---
## One-line Takeaway
Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.
## Why Collected
- matched queries: rag-agent
- inferred topics: agent-evaluation, multi-agent, planning, rag, reasoning, tool-use, workflow-agent
- arXiv categories: cs.RO
- collection score: 14
## Review Checklist
- Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
- Does it include a benchmark, dataset, code, or reproducible experimental setup?
- Should it be promoted from `queued` to `skimmed` or `summarized`?
## Links
- arXiv: https://arxiv.org/abs/2605.25393