Papers5

#Benchmarking

ViDoRe V3: A Comprehensive Evaluation of Retrieval Augmented Generation in Complex Real-World Scenarios

António Loison, Quentin Macé et al.Jan 13arXiv

ViDoRe V3 is a big, carefully built test that checks how well AI systems find and use information from both text and pictures (like tables and charts) in real documents.

#Retrieval-Augmented Generation#Multimodal RAG#Visual Document Understanding

MDAgent2: Large Language Model for Code Generation and Knowledge Q&A in Molecular Dynamics

Intermediate

Zhuofan Shi, Hubao A et al.Jan 5arXiv

MDAgent2 is a special helper built from large language models (LLMs) that can both answer questions about molecular dynamics and write runnable LAMMPS simulation code.

#Molecular Dynamics#LAMMPS#Code Generation

ModelTables: A Corpus of Tables about Models

Intermediate

Zhengyuan Dong, Victor Zhong et al.Dec 18arXiv

ModelTables is a giant, organized collection of tables that describe AI models, gathered from Hugging Face model cards, GitHub READMEs, and research papers.

#Model Lake#Model Cards#Scientific Tables

HERBench: A Benchmark for Multi-Evidence Integration in Video Question Answering

Beginner

Dan Ben-Ami, Gabriele Serussi et al.Dec 16arXiv

HERBench is a new test that checks if video AI models can combine several clues spread across time, not just guess from one frame or language priors.

#Video Question Answering#Video-LLM#Multi-Evidence Integration

AI & Human Co-Improvement for Safer Co-Superintelligence

Beginner

Jason Weston, Jakob FoersterDec 5arXiv

This paper argues that the fastest and safest path to super-smart AI is for humans and AIs to improve together, not for AI to improve alone.

#Co-improvement#Human-AI collaboration#Co-superintelligence