In a post dated October 19, 2025, Tencent presents LaSeR, a reinforcement learning algorithm that aligns last-token scores with real rewards for reasoning and LLM self-rewarding. The post mentions one extra token inference.
Published on October 19, 2025, Tencent’s post presents LaSeR, a reinforcement learning algorithm for language models. The approach aligns last-token scores with real rewards, with applications described for reasoning and LLM self-rewarding; according to the post, the method uses one extra token inference.
The post notes potential interest for engineers exploring lower-cost reward optimization, but the supplied material gives no quantified savings or comparative results. Consult the original publication to assess its method and evidence. If using AI to study or apply the approach, avoid sending sensitive organizational data unless necessary and follow your organization’s privacy policy.