Who Cited It

Affordance-Compiled Intelligence: Observable-Only Cognitive Impedance Matching for No-Meta LLM-Integrated Systems

2026 · arXiv (Cornell University) · 3,059 citations · 2 from inside this corpus

Patrick Lewis, Ethan Perez low, Aleksandara Piktus low, Fabio Petroni, Vladimir Karpukhin low, Naman Goyal, Heinrich Küttler low, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, Douwe Kiela

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Affordance-Compiled Intelligence: Observable-Only Cognitive Impedance Matching for No-Met… (2026)Affordance-Compiled Intellige…[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics… (2015)[No title in the source recor…BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (2019)BERT: Pre-training of Deep Bi…Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (2019)Exploring the Limits of Trans…HuggingFace's Transformers: State-of-the-art Natural Language Processing (2019)HuggingFace's Transformers: S…fairseq: A Fast, Extensible Toolkit for Sequence Modeling (2019)fairseq: A Fast, Extensible T…Natural Questions: A Benchmark for Question Answering Research (2019)Natural Questions: A Benchmar…A Diversity-Promoting Objective Function for Neural Conversation Models (2016)A Diversity-Promoting Objecti…GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding (2018)GLUE: A Multi-Task Benchmark …Language Models as Knowledge Bases? (2019)Language Models as Knowledge …Semantic Parsing on Freebase from Question-Answer Pairs (2013)Semantic Parsing on Freebase …Reading Wikipedia to Answer Open-Domain Questions (2017)Reading Wikipedia to Answer O…Language Models are Few-Shot Learners (2020)Language Models are Few-Shot …Text Data Augmentation for Deep Learning (2021)Text Data Augmentation for De…
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What this paper cites, inside the corpus

PaperYearCited
[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics…201550,396
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding201933,416
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer20193,698
HuggingFace's Transformers: State-of-the-art Natural Language Processing20193,147
fairseq: A Fast, Extensible Toolkit for Sequence Modeling20192,511
Natural Questions: A Benchmark for Question Answering Research20192,095
A Diversity-Promoting Objective Function for Neural Conversation Models20162,061
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding20181,861
Language Models as Knowledge Bases?20191,798
Semantic Parsing on Freebase from Question-Answer Pairs20131,618
Reading Wikipedia to Answer Open-Domain Questions20171,454

What cites it, inside the corpus

PaperYearCited
Language Models are Few-Shot Learners20203,020
Text Data Augmentation for Deep Learning20211,701

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Topics

Topic ModelingComputer Science
Natural Language Processing TechniquesComputer Science
Multimodal Machine Learning ApplicationsComputer Science

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complete

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  • supports12 author record(s) attached.
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  • supportsA title is present.

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Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:47+00:00.

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