Scholar — AI & ML Research Digests
Literature digests on 6 active research areas including LLM Agents & Planning, Retrieval-Augmented Generation, AI Alignment & Safety. Real papers via the AISA Scholar API, synthesized for fast comprehension.
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Fast-read literature digests across active AI/ML research areas — each grounded in real papers from academic search and synthesized for agents and researchers.
LLM Agents & Planning: Literature Digest
10 papers
Large language model (LLM) agents planning has matured from single-step prompting into a broader research area spanning …
Retrieval-Augmented Generation: Research Digest
10 papers
Retrieval-augmented generation (RAG) has matured from a simple “retrieve-then-generate” architecture into a broader desi…
AI Alignment & Safety: Research Digest
10 papers
Recent work frames AI alignment and safety as a broad research program spanning training, evaluation, interpretability, …
RLHF: Research Digest
10 papers
Reinforcement learning from human feedback (RLHF) has become a central alignment recipe for language models and interact…
Multimodal Foundation Models: Research Digest
10 papers
Multimodal foundation models are moving from specialized vision-language systems toward more general-purpose assistants,…
Mechanistic Interpretability: Research Digest
10 papers
Mechanistic interpretability is the effort to reverse engineer neural networks into understandable computational compone…