Thinksum
WebWe propose a two-stage probabilistic inference paradigm, thinksum, that reasons over sets of objects or facts in a structured manner. In the first stage (think --'fast'retrieval of … WebWe demonstrate the advantages of ThinkSum on the BIG-bench suite of evaluation tasks, achieving improvements over the state of the art using GPT-family models on ten difficult tasks, often with far smaller model variants. We compare and contrast ThinkSum with other proposed modifications to direct prompting of LLMs, such as variants of chain-of ...
Thinksum
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WebImpact: In both Kiswahili and English, students made substantial reading gains in grades 1 and 2 with the proportion of learners who can read fluently in English more than doubling: …
Web29 Likes, 4 Comments - Ella Reever (@ella_darling31) on Instagram: "Thanks for showing up #littlebigsister #bigbigbrother #28 I think this pics def sum up a lot ..." WebFigure 6: Details for LOGICAL DEDUCTION. (a) Example question from the task, (b) demonstration for the THINK prompt, (c) example LLM output. - "ThinkSum: Probabilistic reasoning over sets using large language models"
WebOct 4, 2024 · Upload an image to customize your repository’s social media preview. Images should be at least 640×320px (1280×640px for best display). WebTHURSDAY 8th OCTOBER Join us for five gorgeous Lu Ban dim sum dishes and two glasses of the amazing ThinK Prosecco or ThinK PinK Pinot Grigio Rose....
WebNov 15, 2024 · Multi-hop Question Generation is the task of generating questions which require the reader to reason over and combine information spread across multiple passages using several reasoning steps. Chain-of-thought rationale generation has been shown to improve performance on multi-step reasoning tasks and make model predictions more …
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