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09/09/2023
VeRi3D: Generative Vertex-based Radiance Fields for 3D Controllable Human Image Synthesis
Unsupervised learning of 3D-aware generative adversarial networks has la...
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07/05/2023
Graphical CSS Code Transformation Using ZX Calculus
In this work, we present a generic approach to transform CSS codes by bu...
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11/06/2022
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning
Recent studies have revealed the intriguing few-shot learning ability of...
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10/20/2022
Large Language Models Can Self-Improve
Large Language Models (LLMs) have achieved excellent performances in var...
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06/28/2022
Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generation
We study the problem of few-shot Fine-grained Entity Typing (FET), where...
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05/26/2022
Mitigating barren plateaus of variational quantum eigensolvers
Variational quantum algorithms (VQAs) are expected to establish valuable...
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05/22/2022
All Birds with One Stone: Multi-task Text Classification for Efficient Inference with One Forward Pass
Multi-Task Learning (MTL) models have shown their robustness, effectiven...
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02/09/2022
Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations
Topic models have been the prominent tools for automatic topic discovery...
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02/09/2022
Generating Training Data with Language Models: Towards Zero-Shot Language Understanding
Pretrained language models (PLMs) have demonstrated remarkable performan...
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10/17/2021
Fine-Grained Opinion Summarization with Minimal Supervision
Opinion summarization aims to profile a target by extracting opinions fr...
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09/10/2021
Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training
We study the problem of training named entity recognition (NER) models u...
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12/29/2020
Few-Shot Named Entity Recognition: A Comprehensive Study
This paper presents a comprehensive study to efficiently build named ent...
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10/14/2020
Text Classification Using Label Names Only: A Language Model Self-Training Approach
Current text classification methods typically require a good number of h...
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10/13/2020
CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring
Taxonomy is not only a fundamental form of knowledge representation, but...
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10/13/2020
Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding
Aspect-based sentiment analysis of review texts is of great value for un...
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07/18/2020
Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding
Mining a set of meaningful topics organized into a hierarchy is intuitiv...
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05/01/2020
Minimally Supervised Categorization of Text with Metadata
Document categorization, which aims to assign a topic label to each docu...
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11/04/2019
Spherical Text Embedding
Unsupervised text embedding has shown great power in a wide range of NLP...
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08/20/2019