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In this AI Research Roundup episode, Alex discusses the paper: ' This week's topic: Instance-Adaptive Inference-Time Scaling with Calibrated Meta-analysis aims to generalize results from multiple related statistical analyses through a combined analysis. While the natural ... Direct Preference Optimization (DPO) to finetune LLMs without reinforcement learning. DPO was one of the two Outstanding Main ... Get to know my latest major project -- we're building the science of LLM alignment one step at a time. Sorry about the glitchy noise ... We present an algorithm that converts any tokenized LM into its statistically equivalent byte-level
This video shows some results of the work presented in our paper "Handling Sparse How do you get a reinforcement learning agent to do what you want, when you can't actually write a In this video, we explain what the LLM-as-a-Verifier framework is and why it matters. Instead of collapsing evaluation into a ... Peng Liao (Harvard) Reinforcement Learning from Batch Data and Simulation.
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BetaPRM: Reliable Process Reward Models
The Lessons of Developing Process Reward Models in Mathematical Reasoning
Process Reward Models That Think (Apr 2025)
Process Reward Models in Mathematical Reasoning
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Last Updated: May 22, 2026
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