Results 101 to 110 of about 250,954 (220)

GraphTrace: A Modular Retrieval Framework Combining Knowledge Graphs and Large Language Models for Multi-Hop Question Answering

open access: yesComputers
This paper introduces GraphTrace, a novel retrieval framework that integrates a domain-specific knowledge graph (KG) with a large language model (LLM) to improve information retrieval for complex, multi-hop queries.
Anna Osipjan   +4 more
doaj   +1 more source

The Power of Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval [PDF]

open access: green, 2022
Minghan Li   +4 more
openalex   +1 more source

Incorporating Relevance Feedback for Information-Seeking Retrieval using Few-Shot Document Re-Ranking [PDF]

open access: green, 2022
Tim Baumgärtner   +3 more
openalex   +1 more source

Two-Stage Learning to Rank for Information Retrieval

open access: yes, 2013
Current learning to rank approaches commonly focus on learning the best possible ranking function given a small fixed set of documents. This document set is often retrieved from the collection using a simple unsupervised bag-of-words method, e.g. BM25.
Van Dang   +2 more
openaire   +2 more sources

Translation-based Ranking in Cross-Language Information Retrieval

open access: yes, 2015
Today's amount of user-generated, multilingual textual data generates the necessity for information processing systems, where cross-linguality, i.e the ability to work on more than one language, is fully integrated into the underlying models. In the particular context of Information Retrieval (IR), this amounts to rank and retrieve relevant ...
openaire   +2 more sources

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