Papers5

#data-centric AI

SciDER: Scientific Data-centric End-to-end Researcher

SciDER is a team of smart AI helpers that can run almost the whole research process: think of ideas, read raw data, write and run code, and improve itself with feedback.

#data-centric AI#AI research agent#self-evolving memory

CHIMERA: Compact Synthetic Data for Generalizable LLM Reasoning

Beginner

Xinyu Zhu, Yihao Feng et al.Mar 1arXiv

CHIMERA is a small (about 9,000 examples) but very carefully built synthetic dataset that teaches AI to solve hard problems step by step.

#CHIMERA dataset#synthetic data generation#chain-of-thought

MMFineReason: Closing the Multimodal Reasoning Gap via Open Data-Centric Methods

Intermediate

Honglin Lin, Zheng Liu et al.Jan 29arXiv

MMFineReason is a huge, open dataset (1.8 million examples, 5.1 billion solution tokens) that teaches AIs to think step by step about pictures and text together.

#multimodal reasoning#vision-language models#chain-of-thought

DataFlow: An LLM-Driven Framework for Unified Data Preparation and Workflow Automation in the Era of Data-Centric AI

Intermediate

Hao Liang, Xiaochen Ma et al.Dec 18arXiv

DataFlow is a building-block system that helps large language models get better data by unifying how we create, clean, check, and organize that data.

#DataFlow#LLM data preparation#operator pipeline

OpenDataArena: A Fair and Open Arena for Benchmarking Post-Training Dataset Value

Intermediate

Mengzhang Cai, Xin Gao et al.Dec 16arXiv

OpenDataArena (ODA) is a fair, open platform that measures how valuable different post‑training datasets are for large language models by holding everything else constant.

#OpenDataArena#post-training datasets#data-centric AI