2 papers
cs.LG2026
Teach the Way It Thinks: Guiding LLM Post-training Data Engineering with Sparse Autoencoders
Yi Jing, Zao Dai, Jinwu Hu +4
Data engineering for large language model (LLM) reinforcement learning (RL) decides which samples to train on, when to present them, and which to batch together. Existing methods m…
cs.AI2026
FIRE: A Comprehensive Benchmark for Financial Intelligence and Reasoning Evaluation
Xiyuan Zhang, Huihang Wu, Jiayu Guo +8
We introduce FIRE, a comprehensive benchmark designed to evaluate both the theoretical financial knowledge of LLMs and their ability to handle practical business scenarios. For the…