IIT_kgp at FinCausal 2020, Shared Task 1: Causality Detection using Sentence Embeddings in Financial Reports. - Arka Mitra; Harshvardhan Srivastava; Yugam Tiwari (CoRR, 2020)

NLP-IISERB@eRisk2022: Exploring the Potential of Bag of Words, Document Embeddings and Transformer Based Framework for Early Prediction of Eating Disorder, Depression and Pathological Gambling Over Social Media. - Harshvardhan Srivastava; Lijin N. S; Sruthi S; Tanmay Basu (CLEF (Working Notes), 2022)

Poirot at SemEval-2022 Task 5: Leveraging Graph Network for Misogynistic Meme Detection. - Harshvardhan Srivastava (SemEval@NAACL, 2022)

Zero Shot Crosslingual Eye-Tracking Data Prediction using Multilingual Transformer Models. - Harshvardhan Srivastava (CoRR, 2022)

Misogynistic Meme Detection using Early Fusion Model with Graph Network. - Harshvardhan Srivastava (CoRR, 2022)

MMER: Multimodal Multi-task learning for Emotion Recognition in Spoken Utterances. - Harshvardhan Srivastava; Sreyan Ghosh; Srinivasan Umesh (CoRR, 2022)

A Discourse Aware Sequence Learning Approach for Emotion Recognition in Conversations. - Sreyan Ghosh; Harshvardhan Srivastava; Srinivasan Umesh (CoRR, 2022)

MMER: Multimodal Multi-task Learning for Speech Emotion Recognition. - Sreyan Ghosh; Utkarsh Tyagi; S. Ramaneswaran; Harshvardhan Srivastava; Dinesh Manocha (INTERSPEECH, 2023)

CoRE-CoG: Conversational Recommendation of Entities using Constrained Generation. - Harshvardhan Srivastava; Kanav Pruthi; Soumen Chakrabarti; Mausam (CoRR, 2023)

Getting Serious about Humor: Crafting Humor Datasets with Unfunny Large Language Models. - Zachary Horvitz; Jingru Chen; Rahul Aditya; Harshvardhan Srivastava; Robert West; Zhou Yu; Kathleen R. McKeown (CoRR, 2024)

Personalized Speech Recognition for Children with Test-Time Adaptation. - Zhonghao Shi; Harshvardhan Srivastava; Xuan Shi; Shrikanth Narayanan; Maja J. Mataric (CoRR, 2024)