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Adapting Vision-Language Models for E-commerce Understanding at Scale

Beginner

Matteo Nulli, Vladimir Orshulevich et al.Feb 12arXiv

This paper shows a simple, repeatable way to teach general Vision-Language Models (VLMs) to understand e-commerce items much better without forgetting their general skills.

#Vision-Language Models#E-commerce adaptation#Attribute extraction

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

Papers3

Adapting Vision-Language Models for E-commerce Understanding at Scale

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

AI & Human Co-Improvement for Safer Co-Superintelligence