Search Results for author:
Found 10 papers, 5 papers with code
MQA-KEAL: Multi-hop Question Answering under Knowledge Editing for Arabic Language
Later for each sub-problem, it iteratively queries the external memory and/or target LLM in order to generate the final response.
Open-SQL Framework: Enhancing Text-to-SQL on Open-source Large Language Models
Despite the success of large language models (LLMs) in Text-to-SQL tasks, open-source LLMs encounter challenges in contextual understanding and response coherence.
Antonym vs Synonym Distinction using InterlaCed Encoder NETworks (ICE-NET)
In this paper, we propose InterlaCed Encoder NETworks (i. e., ICE-NET) for antonym vs synonym distinction, that aim to capture and model the relation-specific properties of the antonyms and synonyms pairs in order to perform the classification task in a performance-enhanced manner.
BClean: A Bayesian Data Cleaning System
By evaluating on both real-world and synthetic datasets, we demonstrate that BClean is capable of achieving an F-measure of up to 0. 9 in data cleaning, outperforming existing Bayesian methods by 2% and other data cleaning methods by 15%.
GARI: Graph Attention for Relative Isomorphism of Arabic Word Embeddings
Bilingual Lexical Induction (BLI) is a core challenge in NLP, it relies on the relative isomorphism of individual embedding spaces.
GRI: Graph-based Relative Isomorphism of Word Embedding Spaces
Automated construction of bilingual dictionaries using monolingual embedding spaces is a core challenge in machine translation.
Consistent and Flexible Selectivity Estimation for High-Dimensional Data
Selectivity estimation aims at estimating the number of database objects that satisfy a selection criterion.
A Recurrent Model for Collective Entity Linking with Adaptive Features
Traditional machine learning based methods for NED were outperformed and made obsolete by the state-of-the-art deep learning based models.
Monotonic Cardinality Estimation of Similarity Selection: A Deep Learning Approach
The feature extraction model transforms original data and threshold to a Hamming space, in which a deep learning-based regression model is utilized to exploit the incremental property of cardinality w. r. t.
Pigeonring: A Principle for Faster Thresholded Similarity Search
Many solutions to these problems utilize the pigeonhole principle to find candidates that satisfy a filtering condition.
