Sampling diverse programs from a code language model and reranking with model likelihood is a popular method for code generation but it is prone to preferring degenerate solutions. Inspired by collabo...
Pretrained transformer models, such as BERT and T5, have shown to be highly effective at ad-hoc passage and document ranking. Due to inherent sequence length limits of these models, they need to be ru...
September 2018. Retrieved 13 February 2009. "US Patent 6725259 Ranking search results by reranking the results based on local inter-connectivity". Archived
and in this way serves as a meta-search engine while at the same time reranking results to optimize based on user behavior. YaCy – an open source search
next year's Regular Tour for one year, and the 2nd to 10th place players will be given priority until the first round (1st reranking).] Official website
With the vast and dynamic user-generated content on Roblox, creating effective game recommendations requires a deep understanding of game content. Traditional recommendation models struggle with the i...
Standard decoding approaches for conditional text generation tasks typically search for an output hypothesis with high model probability, but this may not yield the best hypothesis according to human ...
Current open-domain question answering systems often follow a Retriever-Reader architecture, where the retriever first retrieves relevant passages and the reader then reads the retrieved passages to f...
This paper introduces an improved reranking method for the Bag-of-Words (BoW) based image search. Built on [1], a directed image graph robust to outlier distraction is proposed. In our approach, the r...