EN
05 Nov 2025
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Paper Review
Diffusion Language Models
LLM Pretraining
Scaling Laws
This article explains the key points of Diffusion Language Models are Super Data Learners. 2025-11-05 (arXiv) Ni, Jinjie, Liu, Qian, Dou, Longxu, Du, Chao, Wang, Zili, Yan, Hang, Pang, Tianyu, Shieh, Michael Qizhe. National University of Singapore, Sea AI Lab, StepFun, Shanghai Qiji Zhifeng Co., Ltd. Paper Github Project Page...
KO
05 Nov 2025
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Paper Review
Diffusion Language Models
LLM Pretraining
Scaling Laws
이번 글에서는 Diffusion Language Models are Super Data Learners 논문의 핵심 포인트만 간단히 정리한다. 2025년 11월 5일(Arxiv) Ni, Jinjie, Liu, Qian, Dou, Longxu, Du, Chao, Wang, Zili, Yan, Hang, Pang, Tianyu, Shieh, Michael Qizhe. National University of Singapore, Sea AI Lab, StepFun, Shanghai Qiji Zhifeng Co., Ltd. 논문 링크 Github...
EN
31 Oct 2025
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Paper Review
Monthly Papers
Image Editing
Optical Compression
Reinforcement Learning
Read this article in Korean Trends October 2025’s theme is engineering model pipelines for scale: the three selected papers address quality-controlled training data, compact input representations, and efficient training updates. Pico-Banana-400K organizes text-guided image editing, modifying images according to natural-language requests, into accepted edits, preference pairs, and consecutive editing sessions....
KO
31 Oct 2025
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Paper Review
Monthly Papers
Image Editing
Optical Compression
Reinforcement Learning
영문판 보기 이달의 트렌드 2025년 10월의 주제는 규모 확장을 위한 모델 파이프라인 설계이며 선정된 논문 3편은 품질을 관리한 학습 데이터, 압축된 입력 표현, 효율적인 학습 업데이트를 다룬다. Pico-Banana-400K는 자연어 요청에 따라 이미지를 수정하는 텍스트 기반 이미지 편집 데이터를 채택된 편집, 선호 출력 쌍, 연속 편집 세션으로 구성한다. DeepSeek-OCR은 문서 텍스트를...
EN
30 Oct 2025
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Paper Review
LLM Evaluation
LLM Agents
Benchmark
This article explains the key points of Remote Labor Index: Measuring AI Automation of Remote Work. 2025-10-30 (arXiv) Mazeika, Mantas, Gatti, Alice, Menghini, Cristina, Sehwag, Udari Madhushani, Singhal, Shivam, Orlovskiy, Yury, Basart, Steven, Sharma, Manasi, Peskoff, Denis, Lau, Elaine, et al. Center for AI Safety, Scale AI Paper Read this...