1.5 KiB
1.5 KiB
Paper: Enhancing Persona Following at Decoding Time via Dynamic Importance Estimation for Role-Playing Agents
type: paper title: Enhancing Persona Following at Decoding Time via Dynamic Importance Estimation for Role-Playing Agents authors: Yuxin Liu, Mingye Zhu, Siyuan Liu, Bo Hu, Lei Zhang year: 2026 venue: arXiv url: https://arxiv.org/abs/2603.01438 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-03-02 updated_at: 2026-03-02 status: queued relevance: high topics:
- agent-safety
- coding-agent
- computer-use
- planning
- rag
- world-model methods:
benchmarks:
models:
datasets:
- cs.CL
- cs.AI related_concepts:
related_jobs:
related_experiments:
related_projects:
collection_score: 14 collection_queries: language-agent
One-line Takeaway
Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.
Why Collected
- matched queries: language-agent
- inferred topics: agent-safety, coding-agent, computer-use, planning, rag, world-model
- arXiv categories: cs.CL, cs.AI
- 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
queuedtoskimmedorsummarized?