Soujanya Poria

research

∙ 09/06/2023

Large Language Models for Automated Open-domain Scientific Hypotheses Discovery

Hypothetical induction is recognized as the main reasoning type when sci...

0 Zonglin Yang, et al. ∙

research

∙ 08/18/2023

Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment

Larger language models (LLMs) have taken the world by storm with their m...

0 Rishabh Bhardwaj, et al. ∙

research

∙ 07/09/2023

SAS Video-QA: Self-Adaptive Sampling for Efficient Video Question-Answering

Video question–answering is a fundamental task in the field of video und...

0 Wei Han, et al. ∙

research

∙ 07/05/2023

Flacuna: Unleashing the Problem Solving Power of Vicuna using FLAN Fine-Tuning

Recently, the release of INSTRUCTEVAL has provided valuable insights int...

0 Deepanway Ghosal, et al. ∙

research

∙ 06/07/2023

INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language Models

Instruction-tuned large language models have revolutionized natural lang...

0 Yew Ken Chia, et al. ∙

research

∙ 05/29/2023

ADAPTERMIX: Exploring the Efficacy of Mixture of Adapters for Low-Resource TTS Adaptation

There are significant challenges for speaker adaptation in text-to-speec...

0 Ambuj Mehrish, et al. ∙

research

∙ 05/23/2023

Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet Extraction

Aspect Sentiment Triplet Extraction (ASTE) is a subtask of Aspect-Based ...

0 Yew Ken Chia, et al. ∙

research

∙ 05/22/2023

Chain of Knowledge: A Framework for Grounding Large Language Models with Structured Knowledge Bases

We introduce Chain of Knowledge (CoK), a framework that augments large l...

0 Xingxuan Li, et al. ∙

research

∙ 05/22/2023

Beyond Words: A Comprehensive Survey of Sentence Representations

Sentence representations have become a critical component in natural lan...

0 Abhinav Ramesh Kashyap, et al. ∙

research

∙ 05/20/2023

Sentence Embedder Guided Utterance Encoder (SEGUE) for Spoken Language Understanding

The pre-trained speech encoder wav2vec 2.0 performs very well on various...

0 Yi Xuan Tan, et al. ∙

research

∙ 05/17/2023

Few-shot Joint Multimodal Aspect-Sentiment Analysis Based on Generative Multimodal Prompt

We have witnessed the rapid proliferation of multimodal data on numerous...

0 Xiaocui Yang, et al. ∙

research

∙ 05/04/2023

ReMask: A Robust Information-Masking Approach for Domain Counterfactual Generation

Domain shift is a big challenge in NLP, thus, many approaches resort to ...

0 Pengfei Hong, et al. ∙

research

∙ 04/24/2023

Text-to-Audio Generation using Instruction-Tuned LLM and Latent Diffusion Model

The immense scale of the recent large language models (LLM) allows many ...

10 Deepanway Ghosal, et al. ∙

research

∙ 03/02/2023

Evaluating Parameter-Efficient Transfer Learning Approaches on SURE Benchmark for Speech Understanding

Fine-tuning is widely used as the default algorithm for transfer learnin...

0 Yingting Li, et al. ∙

research

∙ 02/07/2023

UDApter – Efficient Domain Adaptation Using Adapters

We propose two methods to make unsupervised domain adaptation (UDA) more...

0 Bhavitvya Malik, et al. ∙

research

∙ 11/18/2022

A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach

Relation extraction has the potential for large-scale knowledge graph co...

0 Yew Ken Chia, et al. ∙

research

∙ 11/12/2022

Few-shot Multimodal Sentiment Analysis based on Multimodal Probabilistic Fusion Prompts

Multimodal sentiment analysis is a trending topic with the explosion of ...

0 Xiaocui Yang, et al. ∙

research

∙ 10/29/2022

Two is Better than Many? Binary Classification as an Effective Approach to Multi-Choice Question Answering

We propose a simple refactoring of multi-choice question answering (MCQA...

0 Deepanway Ghosal, et al. ∙

research

∙ 10/23/2022

MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality Sequences

Existing multimodal tasks mostly target at the complete input modality s...

0 Wei Han, et al. ∙

research

∙ 10/23/2022

SAT: Improving Semi-Supervised Text Classification with Simple Instance-Adaptive Self-Training

Self-training methods have been explored in recent years and have exhibi...

0 Hui Chen, et al. ∙

research

∙ 10/06/2022

Multiview Contextual Commonsense Inference: A New Dataset and Task

Contextual commonsense inference is the task of generating various types...

14 Siqi Shen, et al. ∙

research

∙ 09/12/2022

DoubleMix: Simple Interpolation-Based Data Augmentation for Text Classification

This paper proposes a simple yet effective interpolation-based data augm...

0 Hui Chen, et al. ∙

research

∙ 09/12/2022

SANCL: Multimodal Review Helpfulness Prediction with Selective Attention and Natural Contrastive Learning

With the boom of e-commerce, Multimodal Review Helpfulness Prediction (M...

0 Wei Han, et al. ∙

research

∙ 05/30/2022

Analyzing Modality Robustness in Multimodal Sentiment Analysis

Building robust multimodal models are crucial for achieving reliable dep...

6 Devamanyu Hazarika, et al. ∙

research

∙ 05/09/2022

So Different Yet So Alike! Constrained Unsupervised Text Style Transfer

Automatic transfer of text between domains has become popular in recent ...

0 Abhinav Ramesh Kashyap, et al. ∙

research

∙ 03/25/2022

CICERO: A Dataset for Contextualized Commonsense Inference in Dialogues

This paper addresses the problem of dialogue reasoning with contextualiz...

1 Deepanway Ghosal, et al. ∙

research

∙ 03/17/2022

RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction

Despite the importance of relation extraction in building and representi...

0 Yew Ken Chia, et al. ∙

research

∙ 10/06/2021

Federated Distillation of Natural Language Understanding with Confident Sinkhorns

Enhancing the user experience is an essential task for application servi...

2 Rishabh Bhardwaj, et al. ∙

research

∙ 09/10/2021

PIP: Physical Interaction Prediction via Mental Imagery with Span Selection

To align advanced artificial intelligence (AI) with human values and pro...

0 Jiafei Duan, et al. ∙

research

∙ 09/06/2021

STaCK: Sentence Ordering with Temporal Commonsense Knowledge

Sentence order prediction is the task of finding the correct order of se...

12 Deepanway Ghosal, et al. ∙

research

∙ 09/01/2021

Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis

In multimodal sentiment analysis (MSA), the performance of a model highl...

0 Wei Han, et al. ∙

research

∙ 08/22/2021

Improving Distantly Supervised Relation Extraction with Self-Ensemble Noise Filtering

Distantly supervised models are very popular for relation extraction sin...

0 Tapas Nayak, et al. ∙

research

∙ 08/13/2021

Aspect Sentiment Triplet Extraction Using Reinforcement Learning

Aspect Sentiment Triplet Extraction (ASTE) is the task of extracting tri...

0 Tapas Nayak, et al. ∙

research

∙ 07/28/2021

Bi-Bimodal Modality Fusion for Correlation-Controlled Multimodal Sentiment Analysis

Multimodal sentiment analysis aims to extract and integrate semantic inf...

13 Wei Han, et al. ∙

research

∙ 06/22/2021

Exemplars-guided Empathetic Response Generation Controlled by the Elements of Human Communication

The majority of existing methods for empathetic response generation rely...

7 Navonil Majumder, et al. ∙

research

∙ 06/01/2021

CIDER: Commonsense Inference for Dialogue Explanation and Reasoning

Commonsense inference to understand and explain human language is a fund...

17 Deepanway Ghosal, et al. ∙

research

∙ 03/31/2021

Deep Neural Approaches to Relation Triplets Extraction: A Comprehensive Survey

Recently, with the advances made in continuous representation of words (...

0 Tapas Nayak, et al. ∙

research

∙ 01/04/2021

Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering

Open-domain Question Answering (OpenQA) is an important task in Natural ...

4 Fengbin Zhu, et al. ∙

research

∙ 12/22/2020

Recognizing Emotion Cause in Conversations

Recognizing the cause behind emotions in text is a fundamental yet under...

13 Soujanya Poria, et al. ∙

research

∙ 12/11/2020

Improving Zero Shot Learning Baselines with Commonsense Knowledge

Zero shot learning – the problem of training and testing on a completely...

7 Abhinaba Roy, et al. ∙

research

∙ 11/19/2020

Persuasive Dialogue Understanding: the Baselines and Negative Results

Persuasion aims at forming one's opinion and action via a series of pers...

6 Hui Chen, et al. ∙

research

∙ 10/22/2020

MTGAT: Multimodal Temporal Graph Attention Networks for Unaligned Human Multimodal Language Sequences

Human communication is multimodal in nature; it is through multiple moda...

0 Jianing Yang, et al. ∙

research

∙ 10/06/2020

COSMIC: COmmonSense knowledge for eMotion Identification in Conversations

In this paper, we address the task of utterance level emotion recognitio...

0 Deepanway Ghosal, et al. ∙

research

∙ 10/04/2020

MIME: MIMicking Emotions for Empathetic Response Generation

Current approaches to empathetic response generation view the set of emo...

0 Navonil Majumder, et al. ∙

research

∙ 09/29/2020

Utterance-level Dialogue Understanding: An Empirical Study

The recent abundance of conversational data on the Web and elsewhere cal...

0 Deepanway Ghosal, et al. ∙

research

∙ 09/10/2020

Dialogue Relation Extraction with Document-level Heterogeneous Graph Attention Networks

Dialogue relation extraction (DRE) aims to detect the relation between t...

0 Hui Chen, et al. ∙

research

∙ 09/10/2020

Investigating Gender Bias in BERT

Contextual language models (CLMs) have pushed the NLP benchmarks to a ne...

1 Rishabh Bhardwaj, et al. ∙

research

∙ 05/07/2020

MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis

Multimodal Sentiment Analysis is an active area of research that leverag...

0 Devamanyu Hazarika, et al. ∙

research

∙ 05/03/2020

Improving Aspect-Level Sentiment Analysis with Aspect Extraction

Aspect-based sentiment analysis (ABSA), a popular research area in NLP h...

1 Navonil Majumder, et al. ∙

research

∙ 05/02/2020

KinGDOM: Knowledge-Guided DOMain adaptation for sentiment analysis

Cross-domain sentiment analysis has received significant attention in re...

0 Deepanway Ghosal, et al. ∙

Soujanya Poria

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