The Table-R1 model, as presented in the paper Table-R1: Inference-Time Scaling for Table Reasoning, explores inference-time scaling on table reasoning tasks. It uses distillation from frontier model reasoning traces and reinforcement learning with verifiable rewards (RLVR). The model matches or exceeds the performance of GPT-4.1 and DeepSeek-R1, while using only a 7B-parameter LLM.
