Retrieval-Augmented Generation (RAG) enhances Large Language Models (LLMs) by integrating external knowledge, leading to improved accuracy and relevance. However, scaling RAG pipelines remains computationally expensive as retrieval sizes grow. To add...
This paper presents our approach to the TREC Interactive Knowledge Assistance Track (iKAT), which focuses on improving conversational information-seeking (CIS) systems. While recent advancements in CIS have improved conversational agents' ability to...
Social media plays a central role in shaping public opinion and behavior, yet performing experiments on these platforms and, in particular, on feed algorithms is becoming increasingly challenging. This guide offers practical recommendations for resea...
code and data to faciliate BERT/ELECTRA for document ranking. Details refer to the paper - PARADE: Passage Representation Aggregation for Document Reranking. (⭐ 96)
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 run over a document's passages, rather than processi...
Retrieval-Augmented Generation (RAG) enhances Large Language Models (LLMs) by integrating external knowledge, leading to improved accuracy and relevance. However, scaling RAG pipelines remains computationally expensive as retrieval sizes grow. To add...
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 inconsistent and sparse nature of game text feature...
rerank library for easy reranking of results (⭐ 53)
ICCV 2023 Paper Global Features are All You Need for Image Retrieval and Reranking Official Repository (⭐ 246)
in the first half of the tour until the first reranking next year (from 2nd to 6th in the challenge prize money ranking) was fierce.] Official website
Points: 5 | Comments: 0 | Author: jlla
RankLLM is a Python toolkit for reproducible information retrieval research using rerankers, with a focus on listwise reranking. (⭐ 582)
the prize money ranking (excluding the first ranked player) will be able to qualify for the tour tournament until the first reranking in 1.] Official
RAG systems rely on rerankers to identify relevant documents. However, fine-tuning these models remains challenging due to the scarcity of annotated query-document pairs. Existing distillation-based approaches suffer from training-inference misalignm...
100 % FREE, Private (No Internet) DeepSeek’s Advanced RAG: Boost Your RAG Chatbot: Hybrid Retrieval (BM25 + FAISS) + Neural Reranking + HyDe? (⭐ 1709)
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
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
A lightweight, low-dependency, unified API to use all common reranking and cross-encoder models. (⭐ 1602)
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 form an answer. In this paper, we propose a simple...
Points: 17 | Comments: 5 | Author: alexmolas