LatentSeek Boosts LLM Reasoning via Test-Time Policy Gradients in Latent Space
burny_tech · x · 2026-08-28
The paper 'Seek in the Dark' introduces LatentSeek, a framework that enhances LLM reasoning through Test-Time Instance-level Adaptation (TTIA) within the model's latent space. Instead of operating in token space, it leverages policy gradients to iteratively update latent representations guided by self-generated reward signals. LatentSeek consistently outperforms strong baselines like Chain-of-Thought prompting and fine-tuning on benchmarks including GSM8K, MATH-500, and AIME2024.
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