Disentangling Topology and Diversity in Multi-Agent LLMs for Multilingual Low-Resource Emotion Detection

arXiv:2609.14570 · cs.CL, cs.AI · Submitted 2026-09-13 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-09-13

Updated: 2026-09-22

Comments: 23 pages, 5 figures, 25 tables. Accepted at the REALM Workshop at EMNLP 2026. Code: https://github.com/eracoding/topologyxdiversity

Code: https://github.com/eracoding/topologyxdiversity

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Aggregation — 36× in this paper · explained in 1 episode
• Ablation — 15× in this paper · explained in 1 episode
• Consistency — 10× in this paper · explained in 3 episodes
• Self-consistency — 9× in this paper · explained in 2 episodes
• Calibration — 8× in this paper · explained in 7 episodes
• Quantization — 8× in this paper · explained in 12 episodes
• Adaptation — 7× in this paper · explained in 1 episode
• Robustness — 6× in this paper · explained in 5 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Abstention — 3× in this paper · explained in 1 episode
• Trace — 3× in this paper · explained in 2 episodes
• Representation Learning — 2× in this paper · explained in 2 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Active Learning — 1× in this paper · explained in 6 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Chain-of-Thought Prompting — 1× in this paper · explained in 2 episodes
• Cognitive Scaffolding — 1× in this paper · explained in 3 episodes
• Cross-lingual Transfer — 1× in this paper · explained in 2 episodes
• Ensemble Learning — 1× in this paper · explained in 2 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Low-Resource Languages — 1× in this paper · explained in 4 episodes
• Multi-Agent System — 1× in this paper · explained in 6 episodes
• Prompt Engineering — 1× in this paper · explained in 4 episodes
• Reasoning Traces — 1× in this paper · explained in 3 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Scaffolding — 1× in this paper · explained in 3 episodes
• Tokenization — 1× in this paper · explained in 2 episodes

Sources

• The Llama 3 Herd of Models
• Qwen2.5 Technical Report

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