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Attention Is All You Need
Paper • 1706.03762 • Published • 120 -
Scaling Laws for Neural Language Models
Paper • 2001.08361 • Published • 10 -
Training Compute-Optimal Large Language Models
Paper • 2203.15556 • Published • 11 -
Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT
Paper • 2210.04186 • Published
Collections
Discover the best community collections!
Collections including paper arxiv:2401.00908
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Language models are weak learners
Paper • 2306.14101 • Published • 11 -
Large Language Models as Tax Attorneys: A Case Study in Legal Capabilities Emergence
Paper • 2306.07075 • Published • 11 -
TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT
Paper • 2307.08674 • Published • 49 -
Nougat: Neural Optical Understanding for Academic Documents
Paper • 2308.13418 • Published • 42
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mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document Understanding
Paper • 2403.12895 • Published • 32 -
microsoft/layoutlm-base-uncased
0.1B • Updated • 159k • 62 -
microsoft/layoutlmv3-base
0.1B • Updated • 531k • 481 -
naver-clova-ix/donut-base-finetuned-docvqa
Document Question Answering • Updated • 15.1k • 275
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PDFTriage: Question Answering over Long, Structured Documents
Paper • 2309.08872 • Published • 55 -
DocLLM: A layout-aware generative language model for multimodal document understanding
Paper • 2401.00908 • Published • 191 -
DocFormerv2: Local Features for Document Understanding
Paper • 2306.01733 • Published • 1
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PDFTriage: Question Answering over Long, Structured Documents
Paper • 2309.08872 • Published • 55 -
Adapting Large Language Models via Reading Comprehension
Paper • 2309.09530 • Published • 82 -
Table-GPT: Table-tuned GPT for Diverse Table Tasks
Paper • 2310.09263 • Published • 40 -
Context-Aware Meta-Learning
Paper • 2310.10971 • Published • 17
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Attention Is All You Need
Paper • 1706.03762 • Published • 120 -
Scaling Laws for Neural Language Models
Paper • 2001.08361 • Published • 10 -
Training Compute-Optimal Large Language Models
Paper • 2203.15556 • Published • 11 -
Analogy Generation by Prompting Large Language Models: A Case Study of InstructGPT
Paper • 2210.04186 • Published
-
Language models are weak learners
Paper • 2306.14101 • Published • 11 -
Large Language Models as Tax Attorneys: A Case Study in Legal Capabilities Emergence
Paper • 2306.07075 • Published • 11 -
TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT
Paper • 2307.08674 • Published • 49 -
Nougat: Neural Optical Understanding for Academic Documents
Paper • 2308.13418 • Published • 42
-
mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document Understanding
Paper • 2403.12895 • Published • 32 -
microsoft/layoutlm-base-uncased
0.1B • Updated • 159k • 62 -
microsoft/layoutlmv3-base
0.1B • Updated • 531k • 481 -
naver-clova-ix/donut-base-finetuned-docvqa
Document Question Answering • Updated • 15.1k • 275
-
PDFTriage: Question Answering over Long, Structured Documents
Paper • 2309.08872 • Published • 55 -
DocLLM: A layout-aware generative language model for multimodal document understanding
Paper • 2401.00908 • Published • 191 -
DocFormerv2: Local Features for Document Understanding
Paper • 2306.01733 • Published • 1
-
PDFTriage: Question Answering over Long, Structured Documents
Paper • 2309.08872 • Published • 55 -
Adapting Large Language Models via Reading Comprehension
Paper • 2309.09530 • Published • 82 -
Table-GPT: Table-tuned GPT for Diverse Table Tasks
Paper • 2310.09263 • Published • 40 -
Context-Aware Meta-Learning
Paper • 2310.10971 • Published • 17