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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:

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 queued to skimmed or summarized?