works on
data bias 1generation diversity 1large language models 1mode collapse 1prompt engineering 1

From the 1 of 3 linked papers with an AI index.

most citedVerbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity

2 citations · 2 across the 3 of their papers we have counts for

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cs.CL2026

One Frozen Simulator Is Not Enough: Simulator Collapse in Multi-Agent RL

Simon Yu, Nicholas Tomlin, Marwa Abdulhai +7

Multi-agent reinforcement learning for human-AI interaction typically relies on a single large language model to simulate user behavior. We show that this approach systematically f…

cs.CL2026★ 2 cited

Verbalized Sampling: How to Mitigate Mode Collapse and Unlock LLM Diversity

Jiayi Zhang, Simon Yu, Derek Chong +4

The paper identifies typicality bias in preference data as a key cause of mode collapse in aligned large language models and introduces Verbalized Sampling, a training‑free prompti…