Papers with multi-agent models

2 papers
UKP-SQuARE v3: A Platform for Multi-Agent QA Research (2023.acl-demo)

Copied to clipboard

Challenge: Current approaches to QA models are multi-dataset models, but combining expert agents can yield large performance gains over multi-agent models.
Approach: They extend an online platform for QA research to support three families of multi-agent systems: agent selection, early-fusion of agents, and late-fusion.
Outcome: The proposed model can be compared with multi-dataset models and achieve high inference speed and performance.
The Power of Many: Multi-Agent Multimodal Models for Cultural Image Captioning (2025.naacl-long)

Copied to clipboard

Challenge: Large Multimodal Models exhibit impressive performance across multimodal tasks . effectiveness in cross-cultural contexts limited due to predominantly Western-centric nature of data and models . multi-agent models have shown significant capability in solving complex tasks despite limitations in crosscultural context .
Approach: They propose to use a multi-agent framework to enhance cross-cultural image captioning using LMMs with distinct cultural personas to evaluate cultural information within image captions.
Outcome: The proposed model outperforms single-agent models across different metrics and offers valuable insights for future research.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations