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cs.LG2026
Self-Improvement as Coherence Optimization: A Theoretical Account
Tianyi Qiu, Ahmed Hani Ismail, Zhonghao He +1
Can language models improve their accuracy without external supervision? Methods such as debate, bootstrap, and internal coherence maximization achieve this surprising feat, even m…
cs.LG2025★ 1 cited
The Lock-in Hypothesis: Stagnation by Algorithm
Tianyi Alex Qiu, Zhonghao He, Tejasveer Chugh +1
The training and deployment of large language models (LLMs) create a feedback loop with human users: models learn human beliefs from data, reinforce these beliefs with generated co…
cs.LG2024
Representative Social Choice: From Learning Theory to AI Alignment
Tianyi Qiu
Social choice theory is the study of preference aggregation across a population, used both in mechanism design for human agents and in the democratic alignment of language models.…