🎓How I Study AIHISA

📖Read

📄Papers 📰Blogs 🎬Courses

💡Learn

🛤️Paths 📚Topics 💡Concepts 🎴Shorts

🎯Practice

🧩Problems 🎯Prompts 🧠Review

How I Study AI - Learn AI Papers & Lectures the Easy Way

Papers4

All Beginner Intermediate Advanced

All Sources arXiv

#chain-of-thought reasoning

PhyGDPO: Physics-Aware Groupwise Direct Preference Optimization for Physically Consistent Text-to-Video Generation

Yuanhao Cai, Kunpeng Li et al.Dec 31arXiv

This paper teaches text-to-video models to follow real-world physics, so people, balls, water, glass, and fire act the way they should.

#text-to-video generation#physical consistency#direct preference optimization

RePlan: Reasoning-guided Region Planning for Complex Instruction-based Image Editing

Tianyuan Qu, Lei Ke et al.Dec 18arXiv

RePlan is a plan-then-execute system that first figures out exactly where to edit in a picture and then makes clean changes there.

#instruction-based image editing#vision–language model (VLM)#diffusion model

UniUGP: Unifying Understanding, Generation, and Planing For End-to-end Autonomous Driving

Hao Lu, Ziyang Liu et al.Dec 10arXiv

UniUGP is a single system that learns to understand road scenes, explain its thinking, plan safe paths, and even imagine future video frames.

#UniUGP#vision-language-action#world model

Arbitrage: Efficient Reasoning via Advantage-Aware Speculation

Monishwaran Maheswaran, Rishabh Tiwari et al.Dec 4arXiv

ARBITRAGE makes AI solve step-by-step problems faster by only using the big, slow model when it is predicted to truly help.

#speculative decoding#step-level speculative decoding#advantage-aware routing