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Read with a question. Foundational papers selected for AI engineering and embodied intelligence. These short guides are based on the linked abstracts; they are not full-paper reviews or personal experimental results.
← Research · Saved reading
TopicAll AI applications LLM Embodied AI Search
3 papers
RAG · 2020 · Abstract guide How can generation use external knowledge? Method Combine a sequence generator with dense retrieval; compare shared passages per sequence with passages that can change per token. Reported evidence The authors report improvements on open-domain QA and generation tasks. Reading boundary Results concern the paper's tasks and baselines, not every knowledge-base integration. Questions to investigate Reading questions: how do retrieval failures affect output, and can evidence be traced?
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ReAct · 2022 · Abstract guide How can a language model combine reasoning with interaction? Method Interleave reasoning traces and task actions, using external information to update plans. Reported evidence The authors report evaluations on QA, fact verification and interactive decision-making benchmarks. Reading boundary Benchmark performance does not establish reliable real-world tool use; explanations are not proof of correctness. Questions to investigate Reading questions: how are failed actions handled, and are no-tool baselines comparable?
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RT-2 · 2023 · Abstract guide How can visual-language knowledge support robotic control? Method Represent actions as text tokens and co-fine-tune on robot trajectories and vision-language tasks. Reported evidence The authors report generalization involving new objects and instructions in robotic evaluations. Reading boundary This does not imply generalization to arbitrary hardware or environments. No reproduction has been performed here. Questions to investigate Reading questions: what roles do action representation, data distribution and execution play?
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