[ICCV 2025] Video-T1: Test-Time Scaling for Video Generation

Official codebase for "Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling".

Inference-time scaling for LLMs-as-a-judge.

Repo of paper "Free Process Rewards without Process Labels"

🔥[ICML'25] Official repository for the paper "Alpha-SQL: Zero-Shot Text-to-SQL using Monte Carlo Tree Search"

Official codebase for "GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning".

Two Heads are Better Than One: Test-time Scaling of Multi-agent Collaborative Reasoning

"what, how, where, and how well? a survey on test-time scaling in large language models" repository

A comrephensive collection of learning from rewards in the post-training and test-time scaling of LLMs, with a focus on both reward models and learning strategies across training, inference, and post-inference stages.

m1: Unleash the Potential of Test-Time Scaling for Medical Reasoning in Large Language Models

ACL'2025: SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMs. and preprint: SoftCoT++: Test-Time Scaling with Soft Chain-of-Thought Reasoning

The official PyTorch implementation for the Guided by Gut: Efficient Test-Time Scaling with Reinforced Intrinsic Confidence

Awesome-Parallel-Reasoning: Unlocking the reasoning potential of LLMs. Papers, Code, Resources & Upcoming Survey.

In which language do these models reason when solving problems presented in different languages? Our findings reveal that, despite multilingual training, LRMs tend to default to reasoning in high-resource languages (e.g., English) at test time

Official implementation of the paper "First Finish Search: Efficient Test-Time Scaling in Large Language Models"