Despite the seeming success of contemporary grounded text generation sys...
Text to image generation methods (T2I) are widely popular in generating ...
Factual consistency evaluation is often conducted using Natural Language...
Automatically determining whether a text and a corresponding image are
s...
Recent work attributes progress in NLP to large language models (LMs) wi...
Question answering models commonly have access to two sources of "knowle...
Visual Question Answering (VQA) has been primarily studied through the l...
Despite recent advances in natural language understanding and generation...
Most works on modeling the conversation history in Conversational Questi...
We address the task of sentence retrieval for open-ended dialogues. The ...
Visual Question Answering (VQA) has benefited from increasingly sophisti...
Grounded text generation systems often generate text that contains factu...
Neural knowledge-grounded generative models for dialogue often produce
c...
Although large neural language models (LMs) like BERT can be finetuned t...
Sentence fusion is the task of joining related sentences into coherent t...
We study a variant of domain adaptation for named-entity recognition whe...
Named Entity Recognition (NER) has been mostly studied in the context of...
Sentence fusion is the task of joining several independent sentences int...
A description and annotation guidelines for the Yahoo Webscope release o...