AI agents reshape consensus formation in human groups

arXiv:2609.02122 · cs.CL, cs.CY, cs.SI · Submitted 2026-09-02 · Read on arXiv

cs.CL, cs.CY, cs.SI

Submitted: 2026-09-02

Updated: 2026-09-02

Code: https://github.com/tsinghua-fib-lab/human-ai-consensus.9

Terminology

Alignment — 13× in this paper · explained in 1 episode
Cosine Similarity — 7× in this paper · explained in 3 episodes
Adaptation — 6× in this paper · explained in 1 episode
Conceptual-Lexical Ratio — 6× in this paper
Robustness — 6× in this paper · explained in 5 episodes
AI Agents — 5× in this paper · explained in 2 episodes
Embeddings — 5× in this paper · explained in 2 episodes
Semantic Similarity — 5× in this paper · explained in 2 episodes
Consistency — 4× in this paper · explained in 3 episodes
Clustering — 3× in this paper · explained in 2 episodes
LLM-as-a-Judge — 3× in this paper · explained in 3 episodes
Prompt Engineering — 3× in this paper · explained in 4 episodes
Grounding — 2× in this paper · explained in 3 episodes
Large Language Model (LLM) — 2× in this paper · explained in 3 episodes
Abstraction — 1× in this paper · explained in 1 episode
Adjacency Matrix — 1× in this paper · explained in 1 episode
Aggregation — 1× in this paper · explained in 1 episode
Cooperation — 1× in this paper · explained in 2 episodes
F1 Score — 1× in this paper · explained in 3 episodes
Fine-Tuning — 1× in this paper · explained in 5 episodes
Generalization — 1× in this paper · explained in 13 episodes
Steering — 1× in this paper · explained in 2 episodes

Sources

LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods

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