Models and datasets for our work "MDCure: A Scalable Pipeline for Multi-Document Instruction-Following" (https://arxiv.org/abs/2410.23463)
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Yale NLP Lab
university
AI & ML interests
Natural Language Processing at Yale
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models
74
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yale-nlp/MDCureRM
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38
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3
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yale-nlp/MDCure-LLAMA3.1-70B-Instruct
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5
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yale-nlp/MDCure-LLAMA3.1-8B-Instruct
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53
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1
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yale-nlp/MDCure-Qwen2-7B-Instruct
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31
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yale-nlp/MDCure-Qwen2-1.5B-Instruct
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40
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yale-nlp/MDCure-FlanT5-Large
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17
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yale-nlp/MDCure-FlanT5-Base
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24
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yale-nlp/comal-qwen2-1.5b-inpo-large
Text Generation
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160
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1
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yale-nlp/comal-qwen2-1.5b-inpo-small
Text Generation
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134
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yale-nlp/comal-qwen2-1.5b
Text Generation
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162
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1
datasets
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yale-nlp/P-FOLIO
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3
yale-nlp/MMVU
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1k
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8.36k
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55
yale-nlp/M3SciQA
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1.45k
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223
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yale-nlp/SciDQA
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2.94k
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147
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yale-nlp/TOMATO
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1.48k
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341
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yale-nlp/MDCure-72k
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72k
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117
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yale-nlp/MDCure-36k
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36k
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98
yale-nlp/MDCure-12k
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12k
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116
yale-nlp/TAIL
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12.2k
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73
yale-nlp/ReIFE
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2.83k
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130