@article{du2024llms,title={LLMs assist NLP Researchers: Critique Paper (Meta-) Reviewing},author={Du, Jiangshu and Wang, Yibo and Zhao, Wenting and Deng, Zhongfen and Liu, Shuaiqi and Lou, Renze and Zou, Henry Peng and Venkit, Pranav Narayanan and Zhang, Nan and Srinath, Mukund and others},journal={arXiv preprint arXiv:2406.16253},year={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, and Dongwon Lee
@article{lalai2024intentions,title={From Intentions to Techniques: A Comprehensive Taxonomy and Challenges in Text Watermarking for Large Language Models},author={Lalai, Harsh Nishant and Ramakrishnan, Aashish Anantha and Shah, Raj Sanjay and Lee, Dongwon},journal={arXiv preprint arXiv:2406.11106},year={2024},}
How Well Do Deep Learning Models Capture Human Concepts? The Case of the Typicality Effect
Siddhartha K Vemuri, Raj Sanjay Shah, and Sashank Varma
@article{vemuri2024well,title={How Well Do Deep Learning Models Capture Human Concepts? The Case of the Typicality Effect},author={Vemuri, Siddhartha K and Shah, Raj Sanjay and Varma, Sashank},journal={arXiv preprint arXiv:2405.16128},year={2024},}
Catastrophic Interference is Mitigated in Naturalistic Power-Law Learning Environments
Raj Sanjay Shah, Atith Gandhi, Vijay Marupudi, and Sashank Varma
@article{gandhi2024catastrophic,title={Catastrophic Interference is Mitigated in Naturalistic Power-Law Learning Environments},author={Shah, Raj Sanjay and Gandhi, Atith and Marupudi, Vijay and Varma, Sashank},journal={arXiv preprint arXiv:2401.10393},year={2024},}
Multi-Level Feedback Generation with Large Language Models for Empowering Novice Peer Counselors
Alicja Chaszczewicz, Raj Sanjay Shah, Ryan Louie, Bruce A Arnow, and 2 more authors
@article{chaszczewicz2024multi,title={Multi-Level Feedback Generation with Large Language Models for Empowering Novice Peer Counselors},author={Chaszczewicz, Alicja and Shah, Raj Sanjay and Louie, Ryan and Arnow, Bruce A and Kraut, Robert and Yang, Diyi},journal={arXiv preprint arXiv:2403.15482},year={2024},}
What Makes Digital Support Effective? How Therapeutic Skills Affect Clinical Well-Being
Wenjie Yang, Anna Fang, Raj Sanjay Shah, Yash Mathur, and 3 more authors
Proceedings of the ACM on Human-Computer Interaction 2024
@article{yang2024makes,title={What Makes Digital Support Effective? How Therapeutic Skills Affect Clinical Well-Being},author={Yang, Wenjie and Fang, Anna and Shah, Raj Sanjay and Mathur, Yash and Yang, Diyi and Zhu, Haiyi and Kraut, Robert E},journal={Proceedings of the ACM on Human-Computer Interaction},volume={8},number={CSCW1},pages={1--29},year={2024},publisher={ACM New York, NY, USA},}
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, and 3 more authors
@article{li2024incremental,title={Incremental Comprehension of Garden-Path Sentences by Large Language Models: Semantic Interpretation, Syntactic Re-Analysis, and Attention},author={Li, Andrew and Feng, Xianle and Narang, Siddhant and Peng, Austin and Cai, Tianle and Shah, Raj Sanjay and Varma, Sashank},journal={arXiv preprint arXiv:2405.16042},year={2024},}
Development of Cognitive Intelligence in Pre-trained Language Models
Raj Sanjay Shah, Khushi Bhardwaj, and Sashank Varma
@article{shah2024,title={Development of Cognitive Intelligence in Pre-trained Language Models},author={Shah, Raj Sanjay and Bhardwaj, Khushi and Varma, Sashank},year={2024},}
2023
Helping the Helper: Supporting Peer Counselors via AI-Empowered Practice and Feedback
Shang-Ling Hsu, Raj Sanjay Shah, Prathik Senthil, Zahra Ashktorab, and 3 more authors
@misc{shah2023numeric,title={Numeric Magnitude Comparison Effects in Large Language Models},author={Shah, Raj Sanjay and Marupudi, Vijay and Koenen, Reba and Bhardwaj, Khushi and Varma, Sashank},year={2023},booktitle={Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada},eprint={2305.10782},archiveprefix={arXiv},primaryclass={cs.AI},}
Metrics for Peer Counseling: Triangulating Success Outcomes for Online Therapy Platforms
Tony Wang, Haard K. Shah, Raj Sanjay Shah, Yi-Chia Wang, and 2 more authors
@article{metrics,author={Wang, Tony and Shah, Haard K. and Shah, Raj Sanjay and Wang, Yi-Chia and Kraut, Robert E. and Yang, Diyi},title={Metrics for Peer Counseling: Triangulating Success Outcomes for Online Therapy Platforms},year={2023},}
Pre-training LLMs using human-like development data corpus
Khushi Bhardwaj, Raj Sanjay Shah, and Sashank Varma
@article{bhardwaj2023pre,title={Pre-training LLMs using human-like development data corpus},author={Bhardwaj, Khushi and Shah, Raj Sanjay and Varma, Sashank},journal={arXiv preprint arXiv:2311.04666},year={2023},}
2022
When FLUE Meets FLANG: Benchmarks and Large Pretrained Language Model for Financial Domain
Raj Sanjay Shah, Kunal Chawla, Dheeraj Eidnani, Agam Shah, and 6 more authors
In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP) 2022
@inproceedings{EMNLP_raj,author={Shah, Raj Sanjay and Chawla, Kunal and Eidnani, Dheeraj and Shah, Agam and Du, Wendi and Chava, Sudheer and Raman, Natraj and Smiley, Charese and Chen, Jiaao and Yang, Diyi},title={When FLUE Meets FLANG: Benchmarks and Large Pretrained Language Model for Financial Domain},booktitle={Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP)},year={2022},publisher={Association for Computational Linguistics},}
Modeling Motivational Interviewing Strategies On An Online Peer-to-Peer Counseling Platform
Raj Sanjay Shah, Faye Holt, Shirley Anugrah Hayati, Aastha Agarwal, and 3 more authors
Proceedings of the ACM on Human-Computer Interaction 6 2022
@article{MITI_CSCW_2022,author={Shah, Raj Sanjay and Holt, Faye and Hayati, Shirley Anugrah and Agarwal, Aastha and Wang, Yi-Chia and Kraut, Robert and Yang, Diyi},title={ Modeling Motivational Interviewing Strategies On An Online Peer-to-Peer Counseling Platform },journal={ Proceedings of the ACM on Human-Computer Interaction 6 },year={2022},url={},doi={ 10.1145/3555640},}
JARVix at SemEval-2022 Task 2: It Takes One to Know One? Idiomaticity Detection using Zero and One Shot Learning
Ashwin Pathak, Raj Sanjay Shah, Vaibhav Kumar, and Yash Jakhotiya
@article{jarvix,author={Pathak, Ashwin and Shah, Raj Sanjay and Kumar, Vaibhav and Jakhotiya, Yash},title={JARVix at SemEval-2022 Task 2: It Takes One to Know One? Idiomaticity
Detection using Zero and One Shot Learning},journal={CoRR},volume={abs/2202.02394},year={2022},eprinttype={arXiv},eprint={2202.02394},timestamp={Wed, 09 Feb 2022 15:43:34 +0100},biburl={https://dblp.org/rec/journals/corr/abs-2202-02394.bib},bibsource={dblp computer science bibliography, https://dblp.org},}
2021
Bitcoin Data Analytics: Scalable techniques for transaction clustering and embedding generation
Raj Sanjay Shah, Ashutosh Bhatia, Atith Gandhi, and Shray Mathur
In 2021 International Conference on COMmunication Systems & NETworkS (COMSNETS) 2021
@inproceedings{bitcoin_2,author={Shah, Raj Sanjay and Bhatia, Ashutosh and Gandhi, Atith and Mathur, Shray},booktitle={2021 International Conference on COMmunication Systems & NETworkS (COMSNETS)},title={Bitcoin Data Analytics: Scalable techniques for transaction clustering and embedding generation},year={2021},volume={},number={},pages={1-6},doi={10.1109/COMSNETS51098.2021.9352922},}
2020
Bitcoin Data Analytics: Exploring Research Avenues and Implementing a Hadoop-Based Analytics Framework
Raj Sanjay Shah, and Ashutosh Bhatia
In Web, Artificial Intelligence and Network Applications 2020
@inproceedings{bitcoin_1,author={Shah, Raj Sanjay and Bhatia, Ashutosh},editor={Barolli, Leonard and Amato, Flora and Moscato, Francesco and Enokido, Tomoya and Takizawa, Makoto},title={Bitcoin Data Analytics: Exploring Research Avenues and Implementing a Hadoop-Based Analytics Framework},booktitle={Web, Artificial Intelligence and Network Applications},year={2020},publisher={Springer International Publishing},address={Cham},pages={178--189},isbn={978-3-030-44038-1},}
CTI-Twitter: Gathering Cyber Threat Intelligence from Twitter using Integrated Supervised and Unsupervised Learning
Linn-Mari Kristiansen, Vinti Agarwal, Katrin Franke, and Raj Sanjay Shah
In 2020 IEEE International Conference on Big Data (Big Data) 2020
@inproceedings{cti,author={Kristiansen, Linn-Mari and Agarwal, Vinti and Franke, Katrin and Shah, Raj Sanjay},booktitle={2020 IEEE International Conference on Big Data (Big Data)},title={CTI-Twitter: Gathering Cyber Threat Intelligence from Twitter using Integrated Supervised and Unsupervised Learning},year={2020},volume={},number={},pages={2299-2308},doi={10.1109/BigData50022.2020.9378393},}
