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06/26/2023
LongCoder: A Long-Range Pre-trained Language Model for Code Completion
In this paper, we introduce a new task for code completion that focuses ...
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06/05/2023
RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems
Large Language Models (LLMs) have greatly advanced code auto-completion ...
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04/03/2023
Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data
Chat models, such as ChatGPT, have shown impressive capabilities and hav...
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03/15/2023
Mirror: A Natural Language Interface for Data Querying, Summarization, and Visualization
We present Mirror, an open-source platform for data exploration and anal...
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10/21/2022
InforMask: Unsupervised Informative Masking for Language Model Pretraining
Masked language modeling is widely used for pretraining large language m...
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10/21/2022
Efficiently Tuned Parameters are Task Embeddings
Intermediate-task transfer can benefit a wide range of NLP tasks with pr...
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04/13/2022
Automatic Multi-Label Prompting: Simple and Interpretable Few-Shot Classification
Prompt-based learning (i.e., prompting) is an emerging paradigm for expl...
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03/11/2022
LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval
In this paper, we propose LaPraDoR, a pretrained dual-tower dense retrie...
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03/06/2022
Leashing the Inner Demons: Self-Detoxification for Language Models
Language models (LMs) can reproduce (or amplify) toxic language seen dur...
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02/15/2022
A Survey on Model Compression for Natural Language Processing
With recent developments in new architectures like Transformer and pretr...
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02/15/2022
A Survey on Dynamic Neural Networks for Natural Language Processing
Effectively scaling large Transformer models is a main driver of recent ...
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02/02/2022
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts
PromptSource is a system for creating, sharing, and using natural langua...
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10/15/2021
Multitask Prompted Training Enables Zero-Shot Task Generalization
Large language models have recently been shown to attain reasonable zero...
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09/07/2021
Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression
Recent studies on compression of pretrained language models (e.g., BERT)...
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09/07/2021
Datasets: A Community Library for Natural Language Processing
The scale, variety, and quantity of publicly-available NLP datasets has ...
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06/08/2021
Meta Learning for Knowledge Distillation
We present Meta Learning for Knowledge Distillation (MetaDistil), a simp...
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04/06/2021
Blow the Dog Whistle: A Chinese Dataset for Cant Understanding with Common Sense and World Knowledge
Cant is important for understanding advertising, comedies and dog-whistl...
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06/07/2020
BERT Loses Patience: Fast and Robust Inference with Early Exit
In this paper, we propose Patience-based Early Exit, a straightforward y...
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04/26/2020
MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization
Recently, large-scale datasets have vastly facilitated the development i...
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02/07/2020
BERT-of-Theseus: Compressing BERT by Progressive Module Replacing
In this paper, we propose a novel model compression approach to effectiv...
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11/10/2019
Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders
Current neural Natural Language Generation (NLG) models cannot handle em...
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08/28/2019
Exploiting Multiple Embeddings for Chinese Named Entity Recognition
Identifying the named entities mentioned in text would enrich many seman...
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07/02/2019
Obj-GloVe: Scene-Based Contextual Object Embedding
Recently, with the prevalence of large-scale image dataset, the co-occur...
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01/21/2019