#test-time-learning News & Analysis

2 articles tagged with #test-time-learning. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBullisharXiv – CS AI · Apr 207/10

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EvoTest: Evolutionary Test-Time Learning for Self-Improving Agentic Systems

Researchers introduce EvoTest, an evolutionary framework enabling AI agents to improve performance across consecutive test episodes without fine-tuning or gradients. The method outperforms existing adaptation techniques on a new Jericho Test-Time Learning benchmark, successfully winning games that all baseline methods failed to complete.

AINeutralarXiv – CS AI · Jun 196/10

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Evaluating and Enhancing Negation Comprehension in Remote Sensing MLLMs

Researchers introduce RS-Neg, the first benchmark for evaluating negation comprehension in Remote Sensing Multimodal Large Language Models, revealing significant limitations in understanding what is absent or false. They propose NeFo, a test-time learning method that improves negation understanding using just 5% of unlabeled samples, addressing a critical gap for real-world emergency response applications.