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Found 3 papers, 1 papers with code
Characterizing Attribution and Fluency Tradeoffs for Retrieval-Augmented Large Language Models
One common solution to this is augmenting LLMs with a retrieval system and making sure that the generated output is attributable to the retrieved information.
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
In this paper, we leverage a noisy dataset of over one billion image alt-text pairs, obtained without expensive filtering or post-processing steps in the Conceptual Captions dataset.
Ranked #1 on
Image Classification
on VTAB-1k
(using extra training data)
Self-Supervised Learning for Pairwise Data Refinement
We evaluate our methods on de-noising parallel texts and training neural machine translation models.
