๐ŸŽ“How I Study AIHISA
๐Ÿ“–Read
๐Ÿ“„Papers๐Ÿ“ฐBlogs๐ŸŽฌCourses
๐Ÿ’กLearn
๐Ÿ›ค๏ธPaths๐Ÿ“šTopics๐Ÿ’กConcepts๐ŸŽดShorts
๐ŸŽฏPractice
๐ŸงฉProblems๐ŸŽฏPrompts๐Ÿง Review
Search
How I Study AI - Learn AI Papers & Lectures the Easy Way

Papers2

AllBeginnerIntermediateAdvanced
All SourcesarXiv
#online adaptation

SCOPE: Prompt Evolution for Enhancing Agent Effectiveness

Beginner
Zehua Pei, Hui-Ling Zhen et al.Dec 17arXiv

SCOPE lets AI agents rewrite their own instructions while they are working, so they can fix mistakes and get smarter on the next step, not just the next task.

#prompt evolution#LLM agents#context management

EVOLVE-VLA: Test-Time Training from Environment Feedback for Vision-Language-Action Models

Intermediate
Zechen Bai, Chen Gao et al.Dec 16arXiv

Robots usually learn by copying many demonstrations, which is expensive and makes them brittle when things change.

#EVOLVE-VLA#test-time training#vision-language-action