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07/05/2023
Exploring Continual Learning for Code Generation Models
Large-scale code generation models such as Codex and CodeT5 have achieve...
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02/28/2023
Linear Spaces of Meanings: the Compositional Language of VLMs
We investigate compositional structures in vector data embeddings from p...
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10/26/2022
Multi-lingual Evaluation of Code Generation Models
We present MBXP, an execution-based code completion benchmark in 10+ pro...
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10/03/2022
ContraGen: Effective Contrastive Learning For Causal Language Model
Despite exciting progress in large-scale language generation, the expres...
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09/28/2022
Improving Text-to-SQL Semantic Parsing with Fine-grained Query Understanding
Most recent research on Text-to-SQL semantic parsing relies on either pa...
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04/24/2020
Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering
Question Answering (QA) is in increasing demand as the amount of informa...
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03/16/2020
TRANS-BLSTM: Transformer with Bidirectional LSTM for Language Understanding
Bidirectional Encoder Representations from Transformers (BERT) has recen...
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08/22/2019
Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering
BERT model has been successfully applied to open-domain QA tasks. Howeve...
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07/24/2019
Topic Modeling with Wasserstein Autoencoders
We propose a novel neural topic model in the Wasserstein autoencoders (W...
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03/09/2017
