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Found 4 papers, 0 papers with code
Data Authenticity, Consent, & Provenance for AI are all broken: what will it take to fix them?
New capabilities in foundation models are owed in large part to massive, widely-sourced, and under-documented training data collections.
Verifiable evaluations of machine learning models using zkSNARKs
In a world of increasing closed-source commercial machine learning models, model evaluations from developers must be taken at face value.
Don't forget private retrieval: distributed private similarity search for large language models
While the flexible capabilities of large language models (LLMs) allow them to answer a range of queries based on existing learned knowledge, information retrieval to augment generation is an important tool to allow LLMs to answer questions on information not included in pre-training data.
Podlab at SemEval-2019 Task 3: The Importance of Being Shallow
This paper describes our linear SVM system for emotion classification from conversational dialogue, entered in SemEval2019 Task 3.
