Signals 4 · free daily AI digest

Test-Time Communication in Trading Agent Swarms

Paper recorded by Signals 4 on 2026-10-27 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-27 on arXiv · recorded by Signals 4 on 2026-10-28

Category: cs.CL · 自然语言处理 · first seen 2026-10-28

Abstract

Communication between agents has mostly been studied on tasks with a shared objective and fast, clear feedback. Trading has neither: each agent manages its own account, with decisions being scored by markets late and noisily. A trading swarm is thus a population of independent decision-makers rather than a team, for which convergence is a risk and not the goal. We ran 200 agents from four model fa

Read on arXiv →

#125 most recent of 660 cs.CL papers we have recorded · ↑ newer: What Carries Forward? Pretraining Disclosure Across Language Model Rel · ↓ older: ETAMem: Decoupling and Aligning Heterogeneous Memory for Long-Term Con
Cite this page: Test-Time Communication in Trading Agent Swarms: the #125 most recent of 660 cs.CL papers we have recorded (as of 2026-10-27). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/test-time-communication-in-trading-agent-swarms.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
Related: More cs.CL papers · arXiv signals · All papers · Today in AI
Get 4 AI signals a day by email — free.
Subscribe free → See all plans →
Get 4 AI signals a day by email — free
All models · All repos · By company · Daily editions