3 papers
cs.MA2026
SVR-MAD: A Bayesian-Inspired Framework for Posterior-Guided Multi-Agent Debate
Weifan Jiang, Rana Shahout, Minghao Li +4
Multi-Agent Debate (MAD) improves LLM-agent accuracy but suffers from rapid context growth, limiting scalability in larger multi-agent settings. Existing methods prune low-utility…
cs.LG2025
Intra-request branch orchestration for efficient LLM reasoning
Weifan Jiang, Rana Shahout, Yilun Du +2
Large Language Models (LLMs) increasingly rely on inference-time reasoning algorithms such as chain-of-thought and multi-branch reasoning to improve accuracy on complex tasks. Thes…
cs.LG2024
Don't Stop Me Now: Embedding Based Scheduling for LLMs
Rana Shahout, Eran Malach, Chunwei Liu +3
Efficient scheduling is crucial for interactive Large Language Model (LLM) applications, where low request completion time directly impacts user engagement. Size-based scheduling a…