Bitcoin Data Analytics: Exploring Research Avenues and Implementing a Hadoop-Based Analytics Framework. - Raj Sanjay Shah; Ashutosh Bhatia (AINA Workshops, 2020)

CTI-Twitter: Gathering Cyber Threat Intelligence from Twitter using Integrated Supervised and Unsupervised Learning. - Linn-Mari Kristiansen; Vinti Agarwal; Katrin Franke; Raj Sanjay Shah (IEEE BigData, 2020)

Bitcoin Data Analytics: Scalable techniques for transaction clustering and embedding generation. - Raj Sanjay Shah; Ashutosh Bhatia; Atith Gandhi; Shray Mathur (COMSNETS, 2021)

When FLUE Meets FLANG: Benchmarks and Large Pretrained Language Model for Financial Domain. - Raj Sanjay Shah; Kunal Chawla; Dheeraj Eidnani; Agam Shah; Wendi Du; Sudheer Chava; Natraj Raman; Charese Smiley; Jiaao Chen; Diyi Yang (EMNLP, 2022)

WHEN FLUE MEETS FLANG: Benchmarks and Large Pre-trained Language Model for Financial Domain. - Raj Sanjay Shah; Kunal Chawla; Dheeraj Eidnani; Agam Shah; Wendi Du; Sudheer Chava; Natraj Raman; Charese Smiley; Jiaao Chen; Diyi Yang (CoRR, 2022)

Modeling Motivational Interviewing Strategies on an Online Peer-to-Peer Counseling Platform. - Raj Sanjay Shah; Faye Holt; Shirley Anugrah Hayati; Aastha Agarwal; Yi-Chia Wang; Robert E. Kraut; Diyi Yang (Proc. ACM Hum. Comput. Interact., 2022)

Numeric Magnitude Comparison Effects in Large Language Models. - Raj Sanjay Shah; Vijay Marupudi; Reba Koenen; Khushi Bhardwaj; Sashank Varma (ACL (Findings), 2023)

Metrics for Peer Counseling: Triangulating Success Outcomes for Online Therapy Platforms. - Tony Wang; Haard K. Shah; Raj Sanjay Shah; Yi-Chia Wang; Robert E. Kraut; Diyi Yang (CHI, 2023)

Helping the Helper: Supporting Peer Counselors via AI-Empowered Practice and Feedback. - Shang-Ling Hsu; Raj Sanjay Shah; Prathik Senthil; Zahra Ashktorab; Casey Dugan; Werner Geyer; Diyi Yang (CoRR, 2023)

Pre-training LLMs using human-like development data corpus. - Khushi Bhardwaj; Raj Sanjay Shah; Sashank Varma (CoRR, 2023)

Multi-Level Feedback Generation with Large Language Models for Empowering Novice Peer Counselors. - Alicja Chaszczewicz; Raj Sanjay Shah; Ryan Louie; Bruce A Arnow; Robert E. Kraut; Diyi Yang (ACL (1), 2024)

Natural Mitigation of Catastrophic Interference: Continual Learning in Power-Law Learning Environments. - Atith Gandhi; Raj Sanjay Shah; Sashank Vijay; Marupudia Varma (ECAI, 2024)

LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing. - Jiangshu Du; Yibo Wang 001; Wenting Zhao 006; Zhongfen Deng; Shuaiqi Liu 002; Renze Lou; Henry Peng Zou; Pranav Narayanan Venkit; Nan Zhang; Mukund Srinath; Haoran Zhang 004; Vipul Gupta; et al. (EMNLP, 2024)

Development of Cognitive Intelligence in Pre-trained Language Models. - Raj Sanjay Shah; Khushi Bhardwaj; Sashank Varma (EMNLP, 2024)

Catastrophic Interference is Mitigated in Naturalistic Power-Law Learning Environments. - Atith Gandhi; Raj Sanjay Shah; Vijay Marupudi; Sashank Varma (CoRR, 2024)

Incremental Comprehension of Garden-Path Sentences by Large Language Models: Semantic Interpretation, Syntactic Re-Analysis, and Attention. - Andrew Li; Xianle Feng; Siddhant Narang; Austin Peng; Tianle Cai; Raj Sanjay Shah; Sashank Varma (CoRR, 2024)

How Well Do Deep Learning Models Capture Human Concepts? The Case of the Typicality Effect. - Siddhartha K. Vemuri; Raj Sanjay Shah; Sashank Varma (CoRR, 2024)

LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing. - Jiangshu Du; Yibo Wang 001; Wenting Zhao 006; Zhongfen Deng; Shuaiqi Liu 002; Renze Lou; Henry Peng Zou; Pranav Narayanan Venkit; Nan Zhang; Mukund Srinath; Haoran Ranran Zhang; Vipul Gupta; et al. (CoRR, 2024)

Understanding Graphical Perception in Data Visualization through Zero-shot Prompting of Vision-Language Models. - Grace Guo; Jenna Jiayi Kang; Raj Sanjay Shah; Hanspeter Pfister; Sashank Varma (CoRR, 2024)

What Makes Digital Support Effective? How Therapeutic Skills Affect Clinical Well-Being. - Wenjie Yang 004; Anna Fang; Raj Sanjay Shah; Yash Mathur; Diyi Yang; Haiyi Zhu; Robert E. Kraut (Proc. ACM Hum. Comput. Interact., 2024)

From Intentions to Techniques: A Comprehensive Taxonomy and Challenges in Text Watermarking for Large Language Models. - Harsh Nishant Lalai; Aashish Anantha Ramakrishnan; Raj Sanjay Shah; Dongwon Lee 001 (NAACL (Findings), 2025)

Helping the Helper : Supporting Peer Counselors via AI-Empowered Practice and Feedback. - Shang-Ling Hsu; Raj Sanjay Shah; Prathik Senthil; Zahra Ashktorab; Casey Dugan; Werner Geyer; Diyi Yang (Proc. ACM Hum. Comput. Interact., 2025)

The potential - and the pitfalls - of using pre-trained language models as cognitive science theories. - Raj Sanjay Shah; Sashank Varma (CoRR, 2025)

BabyLM Turns 3: Call for papers for the 2025 BabyLM workshop. - Lucas Charpentier; Leshem Choshen; Ryan Cotterell; Mustafa Omer Gul; Michael Y. Hu; Jaap Jumelet; Tal Linzen; Jing Liu; Aaron Mueller; Candace Ross; Raj Sanjay Shah; Alex Warstadt; et al. (CoRR, 2025)

TN-Eval: Rubric and Evaluation Protocols for Measuring the Quality of Behavioral Therapy Notes. - Raj Sanjay Shah; Lei Xu; Qianchu Liu; Jon Burnsky; Drew Bertagnolli; Chaitanya Shivade (CoRR, 2025)

Can LLM-Simulated Practice and Feedback Upskill Human Counselors? A Randomized Study with 90+ Novice Counselors. - Ryan Louie; Ifdita Hasan Orney; Juan Pablo Pacheco; Raj Sanjay Shah; Emma Brunskill; Diyi Yang (CoRR, 2025)

A Neural Network Model of Complementary Learning Systems: Pattern Separation and Completion for Continual Learning. - James P. Jun; Vijay Marupudi; Raj Sanjay Shah; Sashank Varma (CoRR, 2025)

The World According to LLMs: How Geographic Origin Influences LLMs' Entity Deduction Capabilities. - Harsh Nishant Lalai; Raj Sanjay Shah; Jiaxin Pei; Sashank Varma; Yi-Chia Wang; Ali Emami (CoRR, 2025)