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

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All SourcesarXiv
#multi-hop question answering

Truncated Step-Level Sampling with Process Rewards for Retrieval-Augmented Reasoning

Beginner
Chris Samarinas, Haw-Shiuan Chang et al.Feb 26arXiv

SLATE is a new way to teach AI to think step by step while using a search engine, giving feedback at each step instead of only at the end.

#retrieval-augmented reasoning#reinforcement learning#GRPO

Panini: Continual Learning in Token Space via Structured Memory

Intermediate
Shreyas Rajesh, Pavan Holur et al.Feb 16arXiv

Panini is a way for AI to keep learning new facts without changing its brain by storing them as tiny linked Q&A facts in an external memory.

#non-parametric continual learning#structured memory#Generative Semantic Workspace

No Shortcuts to Culture: Indonesian Multi-hop Question Answering for Complex Cultural Understanding

Intermediate
Vynska Amalia Permadi, Xingwei Tan et al.Feb 3arXiv

This paper builds ID-MoCQA, a new two-step (multi-hop) quiz set about Indonesian culture that makes AI connect clues before answering.

#multi-hop question answering#cultural reasoning#Indonesian culture

Agentic-R: Learning to Retrieve for Agentic Search

Intermediate
Wenhan Liu, Xinyu Ma et al.Jan 17arXiv

Agentic-R is a new way to teach a search retriever to find not just similar text, but the text that truly helps an AI get the final answer right.

#agentic search#retriever training#passage utility modeling