Models and datasets for our work "MDCure: A Scalable Pipeline for Multi-Document Instruction-Following" (https://arxiv.org/abs/2410.23463)
Yale NLP Lab
university
AI & ML interests
Natural Language Processing at Yale
Recent Activity
models
75
yale-nlp/MDCureRM-8bit
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yale-nlp/MDCureRM
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103
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2
yale-nlp/MDCure-LLAMA3.1-70B-Instruct
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13
yale-nlp/MDCure-LLAMA3.1-8B-Instruct
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31
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1
yale-nlp/MDCure-Qwen2-7B-Instruct
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30
yale-nlp/MDCure-Qwen2-1.5B-Instruct
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15
yale-nlp/MDCure-FlanT5-Large
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17
yale-nlp/MDCure-FlanT5-Base
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13
yale-nlp/comal-qwen2-1.5b-inpo-large
Text Generation
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Updated
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13
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1
yale-nlp/comal-qwen2-1.5b-inpo-small
Text Generation
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Updated
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13
datasets
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yale-nlp/SciDQA
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2.94k
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73
yale-nlp/P-FOLIO
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37
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2
yale-nlp/M3SciQA
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1.45k
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102
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5
yale-nlp/TOMATO
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1.48k
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252
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6
yale-nlp/MDCure-72k
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72k
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85
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2
yale-nlp/MDCure-36k
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36k
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63
yale-nlp/MDCure-12k
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12k
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57
yale-nlp/TAIL
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12.2k
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50
yale-nlp/ReIFE
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2.83k
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55
yale-nlp/DocMath-Eval
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4k
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274
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