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03/09/2023
Greener yet Powerful: Taming Large Code Generation Models with Quantization
ML-powered code generation aims to assist developers to write code in a ...
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05/18/2022
Debiasing Neural Retrieval via In-batch Balancing Regularization
People frequently interact with information retrieval (IR) systems, howe...
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05/18/2022
Entailment Tree Explanations via Iterative Retrieval-Generation Reasoner
Large language models have achieved high performance on various question...
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10/16/2021
Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora
Pretrained language models (PTLMs) are typically learned over a large, s...
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10/16/2021
Knowledge Enhanced Pretrained Language Models: A Compreshensive Survey
Pretrained Language Models (PLM) have established a new paradigm through...
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03/24/2021
Supporting Clustering with Contrastive Learning
Unsupervised clustering aims at discovering the semantic categories of d...
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09/11/2018
Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks
Meta-graph is currently the most powerful tool for similarity search on ...
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11/07/2017