Hugging Face Trending Papers
You're Hired: Strategic Model Selection for LLM Collaboration
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arXiv Computation and Language
Oct 1
You're Hired: Strategic Model Selection for LLM Collaboration
arXiv:2609.38816v1 Announce Type: new Abstract: While multi-agent and model collaboration algorithms gain traction to combine the strengths of diverse Large Language Models (LLMs), existing systems r...
arXiv Computation and Language
Oct 1
Which Models Work Well Together? Measuring Heterogeneity for LLM Team Selection
arXiv:2609.38274v1 Announce Type: new Abstract: The performance ceiling of an LLM team is constrained not only by individual model capabilities, but also by inter-member error resonance and predictiv...
arXiv AI
Jun 17
Algorithmic Prompt Generation for Diverse Human-like Teaming and Communication with Large Language Models
arXiv:2504. 03991v2 Announce Type: replace-cross Abstract: Understanding how humans collaborate and communicate in teams is essential for improving human-agent teaming and AI-assisted decision-making.
arXiv AI
Jul 8
Decision Protocols in Multi-Agent Large Language Model Conversations
arXiv:2607. 05477v1 Announce Type: cross Abstract: Improving the task performance of Large Language Models (LLMs) is essential, yet scaling these models faces significant challenges such as diminishing returns and high costs.
arXiv Computation and Language
3d ago
MoCo: A One-Stop Shop for Model Collaboration Research
MoCo is a Python library that consolidates 26 model collaboration methods for language models, enabling execution, benchmarking, and comparison at scale. It includes 25 evaluation datasets across reasoning, QA, code, safety, and more, allowing users to add their own data. Experiments show that most collaboration strategies outperform non‑collaborative models in 61.0% of settings, with top methods achieving up to 25.8% improvement.
Hugging Face Trending Papers
Sep 15
Mo' Models, Mo' Problems: How to best select model pools when designing Multi-Agent Systems
Multi-agent Systems (MAS) combine multiple model outputs to solve complex reasoning tasks. However, despite rapid growth of available open-source models, there is limited research on how to select opt...