1.6 KiB
1.6 KiB
Paper: Multi-Paradigm Agent Interaction in Practice:A Systematic Analysis of Generator-Evaluator, ReAct Loop,and Adversarial Evaluation in the buddyMe Framework
type: paper title: "Multi-Paradigm Agent Interaction in Practice:A Systematic Analysis of Generator-Evaluator, ReAct Loop,and Adversarial Evaluation in the buddyMe Framework" authors: Xiaohua Wang, Chao Han, Kai Yu, XiaoLiang Xu, Liang Wang year: 2026 venue: arXiv url: https://arxiv.org/abs/2605.16821 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-05-16 updated_at: 2026-05-16 status: queued relevance: high topics:
- agent-evaluation
- computer-use
- memory
- multi-agent
- planning
- tool-use methods:
benchmarks:
models:
datasets:
- cs.AI related_concepts:
related_jobs:
related_experiments:
related_projects:
collection_score: 18 collection_queries: planning-agent
One-line Takeaway
Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.
Why Collected
- matched queries: planning-agent
- inferred topics: agent-evaluation, computer-use, memory, multi-agent, planning, tool-use
- arXiv categories: cs.AI
- collection score: 18
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?