Hypothetical induction is recognized as the main reasoning type when
sci...
Larger language models (LLMs) have taken the world by storm with their
m...
Video question–answering is a fundamental task in the field of video
und...
Recently, the release of INSTRUCTEVAL has provided valuable insights int...
Instruction-tuned large language models have revolutionized natural lang...
There are significant challenges for speaker adaptation in text-to-speec...
Aspect Sentiment Triplet Extraction (ASTE) is a subtask of Aspect-Based
...
We introduce Chain of Knowledge (CoK), a framework that augments large
l...
Sentence representations have become a critical component in natural lan...
The pre-trained speech encoder wav2vec 2.0 performs very well on various...
We have witnessed the rapid proliferation of multimodal data on numerous...
Domain shift is a big challenge in NLP, thus, many approaches resort to
...
The immense scale of the recent large language models (LLM) allows many
...
Fine-tuning is widely used as the default algorithm for transfer learnin...
We propose two methods to make unsupervised domain adaptation (UDA) more...
Relation extraction has the potential for large-scale knowledge graph
co...
Multimodal sentiment analysis is a trending topic with the explosion of
...
We propose a simple refactoring of multi-choice question answering (MCQA...
Existing multimodal tasks mostly target at the complete input modality
s...
Self-training methods have been explored in recent years and have exhibi...
Contextual commonsense inference is the task of generating various types...
This paper proposes a simple yet effective interpolation-based data
augm...
With the boom of e-commerce, Multimodal Review Helpfulness Prediction (M...
Building robust multimodal models are crucial for achieving reliable
dep...
Automatic transfer of text between domains has become popular in recent
...
This paper addresses the problem of dialogue reasoning with contextualiz...
Despite the importance of relation extraction in building and representi...
Enhancing the user experience is an essential task for application servi...
To align advanced artificial intelligence (AI) with human values and pro...
Sentence order prediction is the task of finding the correct order of
se...
In multimodal sentiment analysis (MSA), the performance of a model highl...
Distantly supervised models are very popular for relation extraction sin...
Aspect Sentiment Triplet Extraction (ASTE) is the task of extracting tri...
Multimodal sentiment analysis aims to extract and integrate semantic
inf...
The majority of existing methods for empathetic response generation rely...
Commonsense inference to understand and explain human language is a
fund...
Recently, with the advances made in continuous representation of words (...
Open-domain Question Answering (OpenQA) is an important task in Natural
...
Recognizing the cause behind emotions in text is a fundamental yet
under...
Zero shot learning – the problem of training and testing on a completely...
Persuasion aims at forming one's opinion and action via a series of
pers...
Human communication is multimodal in nature; it is through multiple
moda...
In this paper, we address the task of utterance level emotion recognitio...
Current approaches to empathetic response generation view the set of emo...
The recent abundance of conversational data on the Web and elsewhere cal...
Dialogue relation extraction (DRE) aims to detect the relation between t...
Contextual language models (CLMs) have pushed the NLP benchmarks to a ne...
Multimodal Sentiment Analysis is an active area of research that leverag...
Aspect-based sentiment analysis (ABSA), a popular research area in NLP h...
Cross-domain sentiment analysis has received significant attention in re...