Files
agent/papers/items/2026-2606-27009-semantic-early-stopping-for-iterative-llm-agent-loops.md
T
2026-07-08 12:25:30 +08:00

64 lines
1.3 KiB
Markdown

# Paper: Semantic Early-Stopping for Iterative LLM Agent Loops
---
type: paper
title: Semantic Early-Stopping for Iterative LLM Agent Loops
authors: Sahil Shrivastava
year: 2026
venue: arXiv
url: https://arxiv.org/abs/2606.27009
code_url:
source: arxiv
collected_at: 2026-07-08
published_at: 2026-06-25
updated_at: 2026-06-25
status: queued
relevance: high
topics:
- agent-evaluation
- multi-agent
- rag
- tool-use
methods:
-
benchmarks:
-
models:
-
datasets:
- cs.AI
- cs.LG
- cs.MA
related_concepts:
-
related_jobs:
-
related_experiments:
-
related_projects:
-
collection_score: 16
collection_queries: multi-agent-llm
---
## One-line Takeaway
Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.
## Why Collected
- matched queries: multi-agent-llm
- inferred topics: agent-evaluation, multi-agent, rag, tool-use
- arXiv categories: cs.AI, cs.LG, cs.MA
- collection score: 16
## 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/2606.27009