atlas

Research map / Multi-agent systems and games / LLM agents

A Two-Tier Perspective on Inference-Time Parallelism in Multi-Agent LLM Systems

ICML 2026 · Multi-agent systems and games › LLM agents · approach: LLM multi-agent decision making · 0 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's full text. Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Proposes TIPEX, a two-tier framework separating Replica Parallelism (multiple solution paths with generation and selection) from Structural Parallelism (DAG-based concurrent agent/tool scheduling) on top of Magentic-One, evaluated on GAIA.

Problem

Inference-time parallelism in LLM multi-agent systems is studied only in isolated pieces; the accuracy-latency-cost roles and interactions of task-level and within-trajectory parallelism are unclear.

Approach

Model inference-time parallelism as two decision levels: replica-level exploration with generation (RIG, OHG) and selection (GS, FVES, TKS) strategies, and instance-level dynamic DAG scheduling (SS, BP, AP), unified under one controllable execution framework built on Magentic-One.

Key results

Surprising findings

Limitations

Experimental setup

Datasets: GAIA GAIA2-mini

Benchmarks: GAIA GAIA2-mini

Metrics: accuracy oracle accuracy wall-clock time token consumption

Baselines: Magentic-One RIG+GS RIG+FVES RIG+TKS OHG+GS OHG+FVES

Builds on: Magentic-One self-consistency LLMCompiler

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy