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.

REST API + Python SDK that converts Indian financial news into structured sector-level trading signals.

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

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)

Living Literature Review on Memestock identification using NLP

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.

SEC FinDoc File Extraction

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.

An open-source sell-side analyst that never sleeps. Screens stocks, runs DCF + reverse DCF, extracts earnings call signals, and ships an institutional-grade research note ;automatically.

Fine-grained transformer ABSA with financial and clinical domain adaptation

This repository contains code for fine-tuning a BERT-based model for financial sentiment analysis. The project uses the Financial PhraseBank dataset to train a model that can classify financial texts as positive, neutral, or negative.

Byte-level autoregressive financial language model built from scratch in NumPy, integrating structured SEC 10-K ETL pipelines, custom training loops, and reproducible Dockerized experimentation.

Comparative study of FinBERT, Local LLM, and RAG-enhanced approaches for financial sentiment classification on FinancialPhraseBank

AI-driven sentiment analysis and text-based risk factor construction from earnings call transcripts using FinBERT.

Deterministic computation experts integrated into sparse MoE transformer routing for exact financial calculations in a single forward pass

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.

Multi-task FinBERT achieving 85% accuracy on financial sentiment (News/Social/Forums). Explores LoRA efficiency and domain adaptation for trading signals.

Financial sentiment analysis API with fine-tuned FinBERT achieving 88.57% accuracy on Financial PhraseBank dataset