Publications
This section contains publications published by ISI over the past several decades.
2026
Emergent Strategic Reasoning Risks in AI: A Taxonomy-Driven Evaluation Framework
Tharindu Kumarage, Lisa Bauer, Yao Ma, Dan Rosen, Yashasvi Raghavendra Guduri, Anna Rumshisky, Kai-Wei Chang, Aram Galstyan, Rahul Gupta, Charith Peris
arXiv preprint arXiv:2604.22119, 2026
ARES: Adaptive Red-Teaming and End-to-End Repair of Policy-Reward System
Jiacheng Liang, Yao Ma, Tharindu Kumarage, Satyapriya Krishna, Rahul Gupta, Kai-Wei Chang, Aram Galstyan, Charith Peris
arXiv preprint arXiv:2604.18789, 2026
Psychological Steering of Large Language Models
Leonardo Blas, Robin Jia, Emilio Ferrara
arXiv preprint arXiv:2604.14463, 2026
A Sociotechnical, Practitioner-Centered Approach to Technology Adoption in Cybersecurity Operations: An LLM Case
Francis Hahn, Mohd Mamoon, Alexandru G Bardas, Michael Collins, Daniel Lende, Xinming Ou, S Raj Rajagopalan
arXiv preprint arXiv:2604.21679, 2026
IQuest-Coder-V1 Technical Report
Jian Yang, Wei Zhang, Shawn Guo, Zhengmao Ye, Lin Jing, Shark Liu, Yizhi Li, Jiajun Wu, Cening Liu, X Ma, Yuyang Song, Siwei Wu, Yuwen Li, L Liao, T Zheng, Ziling Huang, Zelong Huang, Che Liu, Yan Xing, Renyuan Li, Qingsong Cai, Hanxu Yan, Siyue Wang, Shikai Li, Jason Klein Liu, An Huang, Yongsheng Kang, Jinxing Zhang, Chuan Hao, Haowen Wang, Weicheng Gu, Ran Tao, Mingjie Tang, Peihao Wu, Jianzhou Wang, Xianglong Liu, Weifeng Lv, Bryan Dai
arXiv preprint arXiv:2603.16733, 2026
Applying knowledge graphs: Migrant decedent case trajectories in South Texas
Molly Miranker, Min‐Hsueh Chiu, Mayank Kejriwal, Alberto Giordano
Journal of Forensic Sciences, 2026
Knowledge graphing in forensics: Modeling forensic case trajectories using news media
Molly Miranker, Min‐Hsueh Chiu, Mayank Kejriwal, Alberto Giordano
Journal of Forensic Sciences, 2026
An Analysis of Artificial Intelligence Adoption in NIH-Funded Research
Navapat Nananukul, Mayank Kejriwal
arXiv preprint arXiv:2604.07424, 2026
From Generation to Collaboration: Using LLMs to Edit for Empathy in Healthcare
Man Luo, Bahareh Harandizadeh, Amara Tariq, Halim Abbas, Umar Ghaffar, Christopher J Warren, Segun O Kolade, Haidar M Abdul-Muhsin
arXiv preprint arXiv:2601.15558, 2026
LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies
Alexis Carrillo, Salvatore Citraro, Ali Aghazhadeh Ardebili, Enrique Taietta, Giulio Rossetti, Emilio Ferrara, Giuseppe Alessandro Veltri, Massimo Stella
arXiv preprint arXiv:2604.16935, 2026
Mapping Election Toxicity on Social Media across Issue, Ideology, and Psychosocial Dimensions
Lei Cao, Wen Zeng, Xinyue Wu, Eun Cheol Choi, Emilio Ferrara
arXiv preprint arXiv:2604.16765, 2026
qPRO-AQFP: Post-Routing Optimization of AQFP Circuits with Delay Line Clocking
Robert S Aviles, Ziyu Liu, Jingkai Hong, Sasan Razmkhah, Massoud Pedram, Peter A Beerel
arXiv preprint arXiv:2604.08705, 2026
Exploring Speech Foundation Models for Speaker Diarization Across Lifespan
Anfeng Xu, Tiantian Feng, Shrikanth Narayanan
arXiv preprint arXiv:2604.05201, 2026
Deep learning characterizes depression and suicidal ideation in young adults from eye movements
Kleanthis Avramidis, Woojae Jeong, Aditya Kommineni, Sudarsana R Kadiri, Marcus Ma, Colin McDaniel, Myzelle Hughes, Thomas McGee, Elsi Kaiser, Dani Byrd, Assal Habibi, B Rael Cahn, Idan A Blank, Kristina Lerman, Takfarinas Medani, Richard M Leahy, Shrikanth Narayanan
npj Digital Medicine, 2026
AdaLTM: Adaptive Layer-wise Task Vector Merging for Categorical Speech Emotion Recognition with ASR Knowledge Integration
Chia-Yu Lee, Huang-Cheng Chou, Tzu-Quan Lin, Yuanchao Li, Ya-Tse Wu, Shrikanth Narayanan, Chi-Chun Lee
arXiv preprint arXiv:2603.25041, 2026
Rethinking Visual Privacy: A Compositional Privacy Risk Framework for Severity Assessment with VLMs
Efthymios Tsaprazlis, Tiantian Feng, Anil Ramakrishna, Sai Praneeth Karimireddy, Rahul Gupta, Shrikanth Narayanan
arXiv preprint arXiv:2603.21573, 2026
TaigiSpeech: A Low-Resource Real-World Speech Intent Dataset and Preliminary Results with Scalable Data Mining In-the-Wild
Kai-Wei Chang, Yi-Cheng Lin, Huang-Cheng Chou, Wenze Ren, Yu-Han Huang, Yun-Shao Tsai, Chien-Cheng Chen, Yu Tsao, Yuan-Fu Liao, Shrikanth Narayanan, James Glass, Hung-yi Lee
arXiv preprint arXiv:2603.21478, 2026
Towards Interpretable Framework for Neural Audio Codecs via Sparse Autoencoders: A Case Study on Accent Information
Shih-Heng Wang, Tiantian Feng, Aditya Kommineni, Thanathai Lertpetchpun, Bowen Yi, Xuan Shi, Shrikanth Narayanan
arXiv preprint arXiv:2603.18359, 2026
Psychometric Validation of a Deep Learning-based Foreground Speech Detection Algorithm for Everyday Conversation Detection
Amanda Bernal, Johannes Klinz, Valeria Pfeifer, David Sbarra, Charles Raison, Nicole Nugent, Rajat Hebbar, Shrikanth Narayanan, Matthias Mehl
OSF, 2026
Innovations in machine assessment of replicability
Sarah Rajtmajer, Laxmaan Balaji, DM Benjamin, James Caverlee, Tatiana Chakravorti, Yiling Chen, TM Errington, Qizhang Feng, Fiona Fidler, RD Fraleigh, A Frank, T Fritton, J Gentile, CL Giles, B Goldfedder, C Griffin, T Gulden, XB Hu, Y Huang, S Koneru, AM Kwasnica, D Lee, K Lerman, Y Liu, M Mclaughlin, A Menon, F Morstatter, NS Nakshatri, BA Nosek, D Pennock, J Pujara, A Russell, V Singh, AM Squicciarini, L Tran, AH Tyner, J Wang, Z Wang, X Wei, J Wu