Command A: An Enterprise-Ready Large Language Model
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2504.00698
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Max Bartolo
mbartolo
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Question Answering, Adversarial Robustness, LLMs & RL
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Beat the AI: Investigating Adversarial Human Annotation for Reading Comprehension
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2002.00293
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Interpretation of Natural Language Rules in Conversational Machine Reading
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1809.01494
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Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality
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2204.03162
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Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation
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2104.08678
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Dynatask: A Framework for Creating Dynamic AI Benchmark Tasks
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Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants
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DMLR: Data-centric Machine Learning Research -- Past, Present and Future
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Human Feedback is not Gold Standard
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2309.16349
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The PRISM Alignment Project: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models
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2404.16019
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