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

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#BM25

NanoKnow: How to Know What Your Language Model Knows

Beginner
Lingwei Gu, Nour Jedidi et al.Feb 23arXiv

NanoKnow is a new benchmark that checks whether a language model’s answers come from what it saw during training or from extra text we give it at question time.

#NanoKnow#FineWeb-Edu#nanochat

SAGE: Benchmarking and Improving Retrieval for Deep Research Agents

Intermediate
Tiansheng Hu, Yilun Zhao et al.Feb 5arXiv

SAGE is a new test for how well AI research agents find scientific papers when questions require multi-step reasoning.

#SAGE benchmark#scientific literature retrieval#deep research agents

AACR-Bench: Evaluating Automatic Code Review with Holistic Repository-Level Context

Intermediate
Lei Zhang, Yongda Yu et al.Jan 27arXiv

AACR-Bench is a new test set that checks how well AI can do code reviews using the whole project, not just one file.

#Automated Code Review#Benchmark#Repository-level Context

PaperSearchQA: Learning to Search and Reason over Scientific Papers with RLVR

Intermediate
James Burgess, Jan N. Hansen et al.Jan 26arXiv

This paper teaches a language-model agent to look up facts in millions of scientific paper summaries and answer clear, single-answer questions.

#RLVR#search agents#PaperSearchQA

SimpleMem: Efficient Lifelong Memory for LLM Agents

Intermediate
Jiaqi Liu, Yaofeng Su et al.Jan 5arXiv

SimpleMem is a new memory system that helps AI remember long conversations without wasting space or tokens.

#LLM memory#semantic compression#online synthesis