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

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All SourcesarXiv
#LLM-as-a-Judge

UniCorn: Towards Self-Improving Unified Multimodal Models through Self-Generated Supervision

Beginner
Ruiyan Han, Zhen Fang et al.Jan 6arXiv

This paper fixes a common problem in multimodal AI: models can understand pictures and words well but stumble when asked to create matching images.

#Unified Multimodal Models#Self-Generated Supervision#Conduction Aphasia

Nested Browser-Use Learning for Agentic Information Seeking

Beginner
Baixuan Li, Jialong Wu et al.Dec 29arXiv

This paper teaches AI helpers to browse the web more like people do, not just by grabbing static snippets.

#information-seeking agents#browser-use#ReAct function-calling

SmartSnap: Proactive Evidence Seeking for Self-Verifying Agents

Intermediate
Shaofei Cai, Yulei Qin et al.Dec 26arXiv

SmartSnap teaches an agent not only to finish a phone task but also to prove it with a few perfect snapshots it picks itself.

#Self-verifying agents#Evidence curation#3C principles

Masking Teacher and Reinforcing Student for Distilling Vision-Language Models

Intermediate
Byung-Kwan Lee, Yu-Chiang Frank Wang et al.Dec 23arXiv

Big vision-language models are super smart but too large to fit on phones and small devices.

#vision-language models#knowledge distillation#masking teacher

Are We on the Right Way to Assessing LLM-as-a-Judge?

Intermediate
Yuanning Feng, Sinan Wang et al.Dec 17arXiv

This paper asks whether we are judging AI answers the right way and introduces Sage, a new way to test AI judges without using human-graded answers.

#LLM-as-a-Judge#Sage evaluation#Intra-Pair Instability
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