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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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06/05/2023
A Static Evaluation of Code Completion by Large Language Models
Large language models trained on code have shown great potential to incr...
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03/09/2023
Greener yet Powerful: Taming Large Code Generation Models with Quantization
ML-powered code generation aims to assist developers to write code in a ...
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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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12/20/2022
ReCode: Robustness Evaluation of Code Generation Models
Code generation models have achieved impressive performance. However, th...
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12/20/2022
CoCoMIC: Code Completion By Jointly Modeling In-file and Cross-file Context
While pre-trained language models (LM) for code have achieved great succ...
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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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05/18/2022
Debiasing Neural Retrieval via In-batch Balancing Regularization
People frequently interact with information retrieval (IR) systems, howe...
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03/21/2022
DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization
Large-scale pre-trained sequence-to-sequence models like BART and T5 ach...
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11/11/2021
Kronecker Factorization for Preventing Catastrophic Forgetting in Large-scale Medical Entity Linking
Multi-task learning is useful in NLP because it is often practically des...
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10/16/2021
Knowledge Enhanced Pretrained Language Models: A Compreshensive Survey
Pretrained Language Models (PLM) have established a new paradigm through...
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07/23/2021
Improving Early Sepsis Prediction with Multi Modal Learning
Sepsis is a life-threatening disease with high morbidity, mortality and ...
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05/27/2021
Neural Entity Recognition with Gazetteer based Fusion
Incorporating external knowledge into Named Entity Recognition (NER) sys...
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05/26/2021
Zero-shot Medical Entity Retrieval without Annotation: Learning From Rich Knowledge Graph Semantics
Medical entity retrieval is an integral component for understanding and ...
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04/27/2021
Towards Clinical Encounter Summarization: Learning to Compose Discharge Summaries from Prior Notes
The records of a clinical encounter can be extensive and complex, thus p...
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10/01/2020
An Empirical Investigation Towards Efficient Multi-Domain Language Model Pre-training
Pre-training large language models has become a standard in the natural ...
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09/15/2020
Improve black-box sequential anomaly detector relevancy with limited user feedback
Anomaly detectors are often designed to catch statistical anomalies. End...
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07/24/2020
COVID-19 Knowledge Graph: Accelerating Information Retrieval and Discovery for Scientific Literature
The coronavirus disease (COVID-19) has claimed the lives of over 350,000...
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07/17/2020
AWS CORD19-Search: A Scientific Literature Search Engine for COVID-19
Coronavirus disease (COVID-19) has been declared as a pandemic by WHO wi...
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06/17/2020
Towards User Friendly Medication Mapping Using Entity-Boosted Two-Tower Neural Network
Recent advancements in medical entity linking have been applied in the a...
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04/08/2020
Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events
In this paper, we propose a neural architecture and a set of training me...
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04/08/2020
CALM: Continuous Adaptive Learning for Language Modeling
Training large language representation models has become a standard in t...
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11/21/2019
LATTE: Latent Type Modeling for Biomedical Entity Linking
Entity linking is the task of linking mentions of named entities in natu...
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10/17/2019
Towards Annotating and Creating Sub-Sentence Summary Highlights
Highlighting is a powerful tool to pick out important content and emphas...
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10/15/2019
Comprehend Medical: a Named Entity Recognition and Relationship Extraction Web Service
Comprehend Medical is a stateless and Health Insurance Portability and A...
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02/25/2019
Relation Extraction using Explicit Context Conditioning
Relation Extraction (RE) aims to label relations between groups of marke...
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12/13/2018
Dynamic Transfer Learning for Named Entity Recognition
State-of-the-art named entity recognition (NER) systems have been improv...
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12/13/2018
End-to-end Joint Entity Extraction and Negation Detection for Clinical Text
Negative medical findings are prevalent in clinical reports, yet discrim...
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11/29/2018
Improving Hospital Mortality Prediction with Medical Named Entities and Multimodal Learning
Clinical text provides essential information to estimate the acuity of a...
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02/17/2017
soc2seq: Social Embedding meets Conversation Model
While liking or upvoting a post on a mobile app is easy to do, replying ...
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08/03/2016
Morphological Priors for Probabilistic Neural Word Embeddings
Word embeddings allow natural language processing systems to share stati...
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09/04/2015