RSAT: Structured Attribution Makes Small Language Models Faithful Table Reasoners
概要
arXiv:2605.00199v2 Announce Type: replace-cross Abstract: When a language model answers a table question, users have no way to verify which cells informed which reasoning steps. We introduce RSAT, a method that trains small language models (SLMs, 1-8B) to produce step-by-step reasoning with cell-le…
