2 papers
cs.CL2026
Data-Centric Post-Training for Financial Reasoning: Mining, Distillation, and Verifiable Learning
Zhirayr Hayrapetyan, Andrei Kalmykov, Denis Kokosinskii +2
Financial text, textbooks, and question-answer pairs are abundant, but only a small fraction is directly usable for reasoning-focused post-training. Existing QA pairs often lack ex…
cs.CL2026
FINESSE-Bench: A Hierarchical Benchmark Suite for Financial Domain Knowledge and Technical Analysis in Large Language Models
Dmitry Stanishevskii, Nini Kamkia, Alexey Khoroshilov +4
Large language models (LLMs) are increasingly being applied to financial analysis, reporting, investment decision support, risk management, compliance, and professional training. H…