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05/11/2023
Active Retrieval Augmented Generation
Despite the remarkable ability of large language models (LMs) to compreh...
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04/24/2023
Generation-driven Contrastive Self-training for Zero-shot Text Classification with Instruction-tuned GPT
Moreover, GPT-based zero-shot classification models tend to make indepen...
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03/30/2023
Self-Refine: Iterative Refinement with Self-Feedback
Like people, LLMs do not always generate the best text for a given gener...
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02/16/2023
DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization
Neural network-based Combinatorial Optimization (CO) methods have shown ...
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02/03/2023
Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers
We propose a new class of linear Transformers called FourierLearner-Tran...
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04/02/2022
Long-tailed Extreme Multi-label Text Classification with Generated Pseudo Label Descriptions
Extreme Multi-label Text Classification (XMTC) has been a tough challeng...
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10/08/2021
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering
Current Open-Domain Question Answering (ODQA) model paradigm often conta...
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04/24/2020
Explainable Unsupervised Change-point Detection via Graph Neural Networks
Change-point detection (CPD) aims at detecting the abrupt property chang...
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04/06/2020
MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices
Natural Language Processing (NLP) has recently achieved great success by...
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01/09/2019
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Transformer networks have a potential of learning longer-term dependency...
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04/15/2017
