[논문리뷰] Unlocking Data Value in Finance: A Study on Distillation and Difficulty-Aware TrainingarXiv에 게시된 'Unlocking Data Value in Finance: A Study on Distillation and Difficulty-Aware Training' 논문에 대한 자세한 리뷰입니다.#Review#Financial LLMs#Data-Centric AI#Distillation#Chain-of-Thought (CoT)#Reinforcement Learning (RL)#Supervised Fine-Tuning (SFT)#Difficulty-Aware Training#Data Quality2026년 3월 9일댓글 수 로딩 중
[논문리뷰] OpenAutoNLU: Open Source AutoML Library for NLUAyaz Zaripov이 arXiv에 게시한 'OpenAutoNLU: Open Source AutoML Library for NLU' 논문에 대한 자세한 리뷰입니다.#Review#AutoML#Natural Language Understanding#Text Classification#Named Entity Recognition#Out-of-Distribution Detection#Few-Shot Learning#Data Quality#Low-Code API2026년 3월 2일댓글 수 로딩 중
[논문리뷰] Green-VLA: Staged Vision-Language-Action Model for Generalist RobotsarXiv에 게시된 'Green-VLA: Staged Vision-Language-Action Model for Generalist Robots' 논문에 대한 자세한 리뷰입니다.#Review#Vision-Language-Action#Generalist Robots#Staged Training#Reinforcement Learning#Multi-embodiment#Data Quality#Humanoid Robotics#Flow Matching2026년 2월 2일댓글 수 로딩 중
[논문리뷰] Learning from the Best, Differently: A Diversity-Driven Rethinking on Data SelectionYi Cheng이 arXiv에 게시한 'Learning from the Best, Differently: A Diversity-Driven Rethinking on Data Selection' 논문에 대한 자세한 리뷰입니다.#Review#Data Selection#Large Language Models (LLMs)#Data Diversity#Data Quality#Principal Component Analysis (PCA)#Orthogonal Dimensions#Pre-training2025년 10월 23일댓글 수 로딩 중
[논문리뷰] Bee: A High-Quality Corpus and Full-Stack Suite to Unlock Advanced Fully Open MLLMsarXiv에 게시된 'Bee: A High-Quality Corpus and Full-Stack Suite to Unlock Advanced Fully Open MLLMs' 논문에 대한 자세한 리뷰입니다.#Review#Multimodal Large Language Models#Data Curation#Supervised Fine-tuning#Chain-of-Thought#Open-source AI#Data Quality#MLLM Training2025년 10월 16일댓글 수 로딩 중