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cs.LG2026
Shared Nature, Unique Nurture: PRISM for Pluralistic Reasoning via In-context Structure Modeling
Guancheng Tu, Shiyang Zhang, Tianyu Zhang +2
Large Language Models (LLMs) are converging towards a singular Artificial Hivemind, where shared Nature (pre-training priors) result in a profound collapse of distributional divers…
cs.LG2026
Many Minds from One Model: Bayesian-Inspired Transformers for Population Diversity
Diji Yang, Yi Zhang
Despite their scale and success, modern transformers are usually trained as single-minded systems: optimization produces a deterministic set of parameters, representing a single fu…
cs.LG2025
Beyond Introspection: Reinforcing Thinking via Externalist Behavioral Feedback
Diji Yang, Linda Zeng, Kezhen Chen +1
While inference-time thinking allows Large Language Models (LLMs) to address complex problems, the extended thinking process can be unreliable or inconsistent because of the model'…