Search Results for author:
Found 5 papers, 2 papers with code
Revisiting Relevance Feedback for CLIP-based Interactive Image Retrieval
However, metric learning cannot handle differences in users' preferences, and requires data to train an image encoder.
RaLLe: A Framework for Developing and Evaluating Retrieval-Augmented Large Language Models
Retrieval-augmented large language models (R-LLMs) combine pre-trained large language models (LLMs) with information retrieval systems to improve the accuracy of factual question-answering.
SimplyRetrieve: A Private and Lightweight Retrieval-Centric Generative AI Tool
Large Language Model (LLM) based Generative AI systems have seen significant progress in recent years.
Can a Frozen Pretrained Language Model be used for Zero-shot Neural Retrieval on Entity-centric Questions?
However, it has been shown that the existing dense retrievers do not generalize well not only out of domain but even in domain such as Wikipedia, especially when a named entity in a question is a dominant clue for retrieval.
Ranked #4 on
Passage Retrieval
on EntityQuestions
Revisiting a kNN-based Image Classification System with High-capacity Storage
Moreover, users cannot verify the validity of inference results or evaluate the contribution of knowledge to the results.
Ranked #1 on
Incremental Learning
on ImageNet - 10 steps
(using extra training data)
