Raj Sanjay Shah
Orcid: 0000-0002-0847-8426
According to our database1,
Raj Sanjay Shah
authored at least 28 papers
between 2020 and 2025.
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Bibliography
2025
The World According to LLMs: How Geographic Origin Influences LLMs' Entity Deduction Capabilities.
CoRR, August, 2025
A Neural Network Model of Complementary Learning Systems: Pattern Separation and Completion for Continual Learning.
CoRR, July, 2025
Can LLM-Simulated Practice and Feedback Upskill Human Counselors? A Randomized Study with 90+ Novice Counselors.
CoRR, May, 2025
TN-Eval: Rubric and Evaluation Protocols for Measuring the Quality of Behavioral Therapy Notes.
CoRR, March, 2025
The potential - and the pitfalls - of using pre-trained language models as cognitive science theories.
CoRR, January, 2025
<i>Helping the Helper</i> : Supporting Peer Counselors via AI-Empowered Practice and Feedback.
Proc. ACM Hum. Comput. Interact., 2025
From Intentions to Techniques: A Comprehensive Taxonomy and Challenges in Text Watermarking for Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025
2024
What Makes Digital Support Effective? How Therapeutic Skills Affect Clinical Well-Being.
Proc. ACM Hum. Comput. Interact., 2024
Understanding Graphical Perception in Data Visualization through Zero-shot Prompting of Vision-Language Models.
CoRR, 2024
How Well Do Deep Learning Models Capture Human Concepts? The Case of the Typicality Effect.
CoRR, 2024
Incremental Comprehension of Garden-Path Sentences by Large Language Models: Semantic Interpretation, Syntactic Re-Analysis, and Attention.
CoRR, 2024
Catastrophic Interference is Mitigated in Naturalistic Power-Law Learning Environments.
CoRR, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Natural Mitigation of Catastrophic Interference: Continual Learning in Power-Law Learning Environments.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
Multi-Level Feedback Generation with Large Language Models for Empowering Novice Peer Counselors.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
Helping the Helper: Supporting Peer Counselors via AI-Empowered Practice and Feedback.
CoRR, 2023
Metrics for Peer Counseling: Triangulating Success Outcomes for Online Therapy Platforms.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Modeling Motivational Interviewing Strategies on an Online Peer-to-Peer Counseling Platform.
Proc. ACM Hum. Comput. Interact., 2022
WHEN FLUE MEETS FLANG: Benchmarks and Large Pre-trained Language Model for Financial Domain.
CoRR, 2022
When FLUE Meets FLANG: Benchmarks and Large Pretrained Language Model for Financial Domain.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
2021
Bitcoin Data Analytics: Scalable techniques for transaction clustering and embedding generation.
Proceedings of the 13th International Conference on COMmunication Systems & NETworkS, 2021
2020
CTI-Twitter: Gathering Cyber Threat Intelligence from Twitter using Integrated Supervised and Unsupervised Learning.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Bitcoin Data Analytics: Exploring Research Avenues and Implementing a Hadoop-Based Analytics Framework.
Proceedings of the Web, Artificial Intelligence and Network Applications, 2020