KB국민은행에서 제공하는 경제/금융 도메인에 특화된 한국어 ALBERT 모델

A symbolic benchmark for verifiable chain-of-thought financial reasoning. Includes executable templates, 58 topics across 12 domains, and ChainEval metrics.

Research on all kind of NLP in market forecasting, expert estimation, etc.

Living Literature Review on Memestock identification using NLP

Resource-efficient LLM distillation: Improving sustainability and reducing computational costs of Large Language Models in financial analytics through knowledge distillation.

🎯 Fine-tuning LLMs using LlamaFactory for financial intent understanding | Evaluating open-source models on OpenFinData benchmark | Full implementation with multiple models (Qwen2.5/ChatGLM3/Baichuan2/Llama3)

A structured evaluation pipeline for LLM-generated outputs in financial supervision contexts. Combines PRA-aligned prompts, thread-type detection, and metric-level meta-review to assess relevance, justification, and actionability across 50+ regulatory and conversational metrics.

Fine-tuning small LLMs (Phi-3.5, LLaMA-3.2) with QLoRA for summarizing earnings call transcripts. Evaluated with ROUGE and BERTScore. Part of NLP for Finance coursework.

Regime-based evaluation framework for financial NLP stability. Implements chronological cross-validation, semantic drift quantification via Jensen-Shannon divergence, and multi-faceted robustness profiling. Replicates Sun et al.'s (2025) methodology with modular, auditable Python codebase.