research
∙
07/05/2023
Exploring Continual Learning for Code Generation Models
Large-scale code generation models such as Codex and CodeT5 have achieve...
share
research
∙
06/02/2023
Resolving Interference When Merging Models
Transfer learning - i.e., further fine-tuning a pre-trained model on a d...
research
∙
04/28/2023
An Empirical Study of Multimodal Model Merging
Model merging (e.g., via interpolation or task arithmetic) fuses multipl...
research
∙
12/16/2022
MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text Generation
Prompting large language models has enabled significant recent progress ...
research
∙
11/04/2022
Evaluating and Improving Factuality in Multimodal Abstractive Summarization
Current metrics for evaluating factuality for abstractive document summa...
research
∙
02/08/2022
DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generative Transformers
Generating images from textual descriptions has gained a lot of attentio...
research
∙
07/30/2021
EmailSum: Abstractive Email Thread Summarization
Recent years have brought about an interest in the challenging task of s...
research
∙
07/13/2021
How Much Can CLIP Benefit Vision-and-Language Tasks?
Most existing Vision-and-Language (V L) models rely on pre-trained vis...
research
∙
04/15/2021
ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning
Recent commonsense-reasoning tasks are typically discriminative in natur...
research
∙
03/22/2021
Improving and Simplifying Pattern Exploiting Training
Recently, pre-trained language models (LMs) have achieved strong perform...
research
∙
10/09/2020
ChrEn: Cherokee-English Machine Translation for Endangered Language Revitalization
Cherokee is a highly endangered Native American language spoken by the C...
research
∙
05/11/2020
MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning
Generating multi-sentence descriptions for videos is one of the most cha...
research
∙
01/24/2020
TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval
We introduce a new multimodal retrieval task - TV show Retrieval (TVR), ...
research
∙
08/09/2017
Hierarchically-Attentive RNN for Album Summarization and Storytelling
We address the problem of end-to-end visual storytelling. Given a photo ...
research
∙
06/23/2016
