ExaRanker: Explanation-Augmented Neural Ranker
, 2023 Recent work has shown that inducing a large language model (LLM) to generate explanations prior to outputting an answer is an effective strategy to improve performance on a wide range of reasoning tasks. In this work, we show that neural rankers also benefit from explanations.
Ferraretto, Fernando +3 more
openaire +2 more sources
A Hierarchical Recurrent Encoder-Decoder For Generative Context-Aware Query Suggestion [PDF]
, 2015 Users may strive to formulate an adequate textual query for their information need. Search engines assist the users by presenting query suggestions. To preserve the original search intent, suggestions should be context-aware and account for the previous ...
Bastien F. +7 more
core +2 more sources
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval, 2010 Combining evidence from multiple retrieval models has been widely studied in the context of of distributed search, metasearch and rank fusion. Much of the prior work has focused on combining retrieval scores (or the rankings) assigned by different retrieval models or ranking algorithms.
Niranjan Balasubramanian, James Allan
openaire +2 more sources
Fault-Aware Neural Code Rankers
, 2022 In the proceedings of Advances in Neural Information Processing Systems ...
Inala, Jeevana Priya +7 more
openaire +2 more sources
Personalized Ranking in eCommerce Search
, 2019 We address the problem of personalization in the context of eCommerce search. Specifically, we develop personalization ranking features that use in-session context to augment a generic ranker optimized for conversion and relevance.
Aslanyan, Grigor +4 more
core +1 more source
Pretender punishment induced by chemical signalling in a queenless ant [PDF]
, 2002 Animal societies are stages for both conflict and cooperation. Reproduction is often monopolized by one or a few individuals who behave aggressively to prevent subordinates from reproducing (for example, naked mole-rats, wasps and ants).
Beard, R. +3 more
core +3 more sources
RanKer: An AI-Based Employee-Performance Classification Scheme to Rank and Identify Low Performers
Mathematics, 2022 An organization’s success depends on its employees, and an employee’s performance decides whether the organization is successful. Employee performance enhances the productivity and output of organizations, i.e., the performance of an employee paves the ...
Keyur Patel +8 more
doaj +1 more source
Soils of the mycological reserve on Lisina Mountain in the Republic of Srpska, Bosnia and Herzegovina [PDF]
Archives of Biological Sciences, 2014 This paper presents the results of soil research in a mycological reserve that is defined as a special nature reserve according to the IUCN categorization.
Eremija S. +2 more
doaj +1 more source
Combining bioinformatic prediction and assay experiment to identify novel xanthine oxidase inhibitory peptides from Pacific bluefin tuna (Thunnus Orientalis) [PDF]
E3S Web of Conferences, 2020 In this work, we aim to combine bioinformatic prediction with a special experiment to search xanthine oxidase (XOD) inhibitory peptides from myosin of Pacific bluefin tuna (Thunnus Orientalis). The program Peptide Cutter, Peptide Ranker, Peptide Property
Bu Ying +3 more
doaj +1 more source
A Re-ranking Model for Dependency Parser with Recursive Convolutional Neural Network
, 2015 In this work, we address the problem to model all the nodes (words or phrases) in a dependency tree with the dense representations. We propose a recursive convolutional neural network (RCNN) architecture to capture syntactic and compositional-semantic ...
Chen, Xinchi +3 more
core +1 more source