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06/27/2023
CrunchGPT: A chatGPT assisted framework for scientific machine learning
Scientific Machine Learning (SciML) has advanced recently across many di...
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06/27/2023
Validating a virtual human and automated feedback system for training doctor-patient communication skills
Effective communication between a clinician and their patient is critica...
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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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12/20/2022
ReCode: Robustness Evaluation of Code Generation Models
Code generation models have achieved impressive performance. However, th...
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11/17/2022
Is the Elephant Flying? Resolving Ambiguities in Text-to-Image Generative Models
Natural language often contains ambiguities that can lead to misinterpre...
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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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10/07/2022
An Analysis of the Effects of Decoding Algorithms on Fairness in Open-Ended Language Generation
Several prior works have shown that language models (LMs) can generate t...
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09/13/2022
SEER: Sustainable E-commerce with Environmental-impact Rating
With online shopping gaining massive popularity over the past few years,...
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03/25/2022
On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations
Multiple metrics have been introduced to measure fairness in various nat...
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03/29/2021
Industry Scale Semi-Supervised Learning for Natural Language Understanding
This paper presents a production Semi-Supervised Learning (SSL) pipeline...
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01/28/2021
ProtoDA: Efficient Transfer Learning for Few-Shot Intent Classification
Practical sequence classification tasks in natural language processing o...
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01/27/2021
BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation
Recent advances in deep learning techniques have enabled machines to gen...
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03/04/2020
Data Augmentation using Pre-trained Transformer Models
Language model based pre-trained models such as BERT have provided signi...
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10/09/2019
Efficient Semi-Supervised Learning for Natural Language Understanding by Optimizing Diversity
Expanding new functionalities efficiently is an ongoing challenge for si...
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10/09/2019
A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification
New conversation topics and functionalities are constantly being added t...
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05/23/2019
Why Didn't You Listen to Me? Comparing User Control of Human-in-the-Loop Topic Models
To address the lack of comparative evaluation of Human-in-the-Loop Topic...
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03/28/2019
SpaceNet MVOI: a Multi-View Overhead Imagery Dataset
Detection and segmentation of objects in overheard imagery is a challeng...
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01/24/2018
