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05/09/2023
MoT: Pre-thinking and Recalling Enable ChatGPT to Self-Improve with Memory-of-Thoughts
Large Language Models have shown impressive abilities on various tasks. ...
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05/07/2023
Unified Demonstration Retriever for In-Context Learning
In-context learning is a new learning paradigm where a language model co...
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02/27/2023
Finding Supporting Examples for In-Context Learning
In-context learning is a new learning paradigm where a language model ob...
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10/18/2022
Soft-Labeled Contrastive Pre-training for Function-level Code Representation
Code contrastive pre-training has recently achieved significant progress...
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09/30/2022
Towards Implementing ML-Based Failure Detectors
Most existing failure detection algorithms rely on statistical methods, ...
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08/09/2022
An Embarrassingly Easy but Strong Baseline for Nested Named Entity Recognition
Named entity recognition (NER) is the task to detect and classify the en...
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01/26/2022
CodeRetriever: Unimodal and Bimodal Contrastive Learning
In this paper, we propose the CodeRetriever model, which combines the un...
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08/31/2021
Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning
Pre-Trained Models have been widely applied and recently proved vulnerab...
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05/28/2021
Accelerating BERT Inference for Sequence Labeling via Early-Exit
Both performance and efficiency are crucial factors for sequence labelin...
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09/30/2020
BERT for Monolingual and Cross-Lingual Reverse Dictionary
Reverse dictionary is the task to find the proper target word given the ...
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04/24/2020
FLAT: Chinese NER Using Flat-Lattice Transformer
Recently, the character-word lattice structure has been proved to be eff...
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11/12/2019
Learning Sparse Sharing Architectures for Multiple Tasks
Most existing deep multi-task learning models are based on parameter sha...
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11/10/2019
TENER: Adapting Transformer Encoder for Named Entity Recognition
The Bidirectional long short-term memory networks (BiLSTM) have been wid...
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11/10/2019
TENER: Adapting Transformer Encoder for Name Entity Recognition
The Bidirectional long short-term memory networks (BiLSTM) have been wid...
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06/02/2019