most citedFin-R1: A Large Language Model for Financial Reasoning through Reinforcement Learning

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cs.CL2025

Logits-Constrained Framework with RoBERTa for Ancient Chinese NER

Wenjie Hua, Shenghan Xu

This paper presents a Logits-Constrained (LC) framework for Ancient Chinese Named Entity Recognition (NER), evaluated on the EvaHan 2025 benchmark. Our two-stage model integrates G…

cs.CL2025★ 1 cited

Fin-R1: A Large Language Model for Financial Reasoning through Reinforcement Learning

Zhaowei Liu, Xin Guo, Zhi Yang +14

In recent years, general-purpose large language models (LLMs) such as GPT, Gemini, Claude, and DeepSeek have advanced at an unprecedented pace. Despite these achievements, their ap…