"The world's mine oyster!"
(As Shakespeare captured it best.)
"The world's mine oyster!"
(As Shakespeare captured it best.)
Happening @ACL 2024 in Bangkok: I am organizing a Workshop on Human-Centered Large Langugae Modeling. Follow @HuCLLM
Happening Jun 2024 @NAACL in Mexico City: I Will be giving an oral presentation on our position paper Large Human Language Models: A Need and the Challenges
Happening Jun 2024 @NAACL 2024 in Mexico City: I will be a presenter at the Tutorial on From Text to Context: Contextualizing Language with Humans, Groups, and Communities for Socially Aware NLP
Apr 2024: Invited to attend the CRA Grad Cohort for Women Workshop in Minnesota, and my interview was recorded!
Apr 2024: Invited to the German Consulate New York to attend the symposium SMART MINDS MEET SMART MACHINES - AI FOR SCIENCE AND THE PUBLIC GOOD
Mar 2024: Giving a guest lecture to the NLP grad class on Transformer and Self-Attention
Mar 2024: Our position paper arguing for Large Human Language Models is accepted in NAACL 2024
I am enthused about NLP's expanding outreach in our lives and its unexplored abilities to understand human nature better and more efficiently than ever. Language is more than words, it expresses identities, psychologies, cultures and much more. I find myself challenged in directing NLP language models to look beyond the current limitations and consider the human behind the language. The purpose of my research is to enable the growth of more empathy in an AI-future centric world, thereby augmenting humanity rather than detracting from it.
Reviewer for ARR (ACL) Feb 2024
Reviewer for ARR (NAACL) Dec 2023
PC member of ICWSM Data Challenge 2023
Reviewer for EMNLP 2023
Reviewer of Language Modeling & Analysis of Language Models Track, EMNLP 2022
PC member of The 5th workshop on Natural Language Processing and Computational Social Science (NLP+CSS), EMNLP 2022
Volunteer for Diversity & Inclusion Committee, NAACL Conference 2022
Archetypes and Entropy: Theory-Driven extraction of Evidence for Suicide Risk.
[pdf] CLPsych workshop in EACL 2024. workshop
Vasudha Varadarajan, Allison Lahnala, Adithya V Ganesan, Gourab Dey, Siddharth Mangalik, Ana-Maria Bucur, Nikita Soni, Rajath Rao, Kevin Lanning, Isabella Valejo, Lucie Flek, H Andrew Schwartz, Charles Welch, and Ryan L Boyd.
Comparing Pre-trained Human Language Models: Is it Better with Human Context as Groups, Individual Traits, or Both? arXiv preprint
[pdf] Nikita Soni, Niranjan Balasubramanian, H Andrew Schwartz, Dirk Hovy.
Large Human Language Models: A Need and the Challenges. githubwebsite
NAACL 2024. conference
[pdf] Nikita Soni, João Sedoc, H Andrew Schwartz and Niranjan Balasubramanian.
Robust language-based mental health assessments in time and space through social media
IACT workshop at ACM SIGIR conference 2023. workshop
[pdf] Siddharth Mangalik, Johannes C Eichstaedt, Salvatore Giorgi, Jihu Mun, Farhan Ahmed, Gilvir Gill, Adithya V Ganesan, Shashanka Subrahmanya, Nikita Soni, Sean AP Clouston, and H Andrew Schwartz.
I slept like a baby: Using human traits to characterize deceptive ChatGPT and human text.
IACT workshop at ACM SIGIR conference 2023. workshop
[pdf] Nikita Soni, Salvatore Giorgi, David M. Markovitz, Vasudha Varadarajan, Siddharth Mangalik and H Andrew Schwartz.
Human Language Modeling
ACL-Findings (2022) conference
[pdf] Nikita Soni, Matthew Matero, Niranjan Balasubramanian and H. Andrew Schwartz
WWBP-SQT-lite: Dif erence Embeddings and Multi-level Models for Moments of Change Identification in Mental Health Forums
NAACL Workshop on CLPsych (2022).workshop
[pdf] Nikita Soni, Adithya V Ganesan, Vasudha Varadarajan, Juhi Mittal, Shashanka Subrahmanya, Matthew Matero, Sharath Chandra Guntuku, Johannes Eichstaedt, and H Andrew Schwartz.
Detecting Dissonant Stance in Social Media: The Role of Topic Exposure.
To appear in EMNLP Workshop on NLP+CSS (2022) workshop
[pdf]Vasudha Varadarajan, Nikita Soni, Weixi Wang, Christian Luhmann, H Andrew Schwartz, and Naoya Inoue.
MeLT: Message-Level Transformer with Masked Document Representations as Pre-Training for Stance Detection
EMNLP-Findings (2021)conference
[pdf] Matthew Matero, Nikita Soni, Niranjan Balasubramanian and H. Andrew Schwartz