CS Graduate Student

Publications

Google Scholar citations: 204, h-index: 5  —  Google Scholar Profile

Accepted Papers (2026)

  1. A. Hussain, G. Srivastava, A. M. Ishmam, Z. Hakim, and C. Thomas. “SoundBreak: A Systematic Study of Audio-Only Adversarial Attacks on Trimodal Models.” In Proc. of the 64th Annual Meeting of the Association for Computational Linguistics (ACL’26 Main, Acceptance Rate: 19%), pages TBD, July 2–7, 2026, San Diego, CA. [paper]

  2. G. Srivastava, A. Hussain, C. Wang, Y. (Celine) Lin, and X. Wang. “effGen: Enabling Small Language Models as Capable Autonomous Agents.” In Proc. Forty-third International Conference on Machine Learning (ICML’26, Acceptance Rate: 26.6%), pages TBD, 2026. [paper] [effgen.org] [docs]

  3. G. Srivastava, A. Hussain, S. Srinivasan, and X. Wang. “Do LLMs Overthink Basic Math Reasoning? Benchmarking the Accuracy-Efficiency Tradeoff in Language Models.” In Proc. of the 64th Annual Meeting of the Association for Computational Linguistics (ACL’26 Findings, Acceptance Rate: 18%), pages TBD, July 2–7, 2026, San Diego, CA. [paper] [leaderboard]

  4. G. Srivastava, A. Hussain, Z. Bi, S. Roy, P. Pitre, M. Lu, M. Ziyadi, and X. Wang. “BeyondBench: Benchmark-Free Evaluation of Reasoning in Language Models.” In International Conference on Learning Representations (ICLR 2026, Acceptance Rate: 28%). [paper] [leaderboard]

  5. P. Zhou, A. Asgarov, A. Hussain, W. Park, A. Paudyal, S. Shrestha, C.-W. Tang, M. F. Lighthiser, M. R. Hieb, X. Xiao, C. Thomas, and S. R. Hong. “Designing Multi-Robot Ground Video Sensemaking with Public Safety Professionals.” In Proc. ACM Conference on Human Factors in Computing Systems (CHI 2026, Acceptance Rate: 25.3%). [paper]

Preprints Under Review

  1. K.S. Mehrab, A. Neog, G. Srivastava, A. Hussain. “Can Large Vision Language Models Ground Fine-Grained Attribute?”

Earlier Publications

  1. A. Shelke, M. Inamdar, V. Shah, A. Tiwari, A. Hussain, T. Chafekar, et al. “Chest X-ray Classification Using Deep Learning for Automated COVID-19 Screening.” SN Computer Science, 2(4), 300, 2021. (156 citations)

  2. A.S. Hussain, T.Z. Chafekar, G. Sharma, and D.H. Sharma. “Event Oriented Abstractive Summarization.” In Proceedings of the 19th International Conference on Natural Language Processing, 2022. (5 citations)

  3. T. Chafekar, A. Hussain, G. Sharma, and D. Sharma. “Exploring Answer Information Methods for Question Generation with Transformers.” arXiv preprint arXiv:2312.03483, 2023. (2 citations)

  4. T. Chafekar, A. Hussain, and C.I. Cheong. “Understanding Behaviour of Large Language Models for Short-Term and Long-Term Fairness Scenarios.” In Proceedings of the 20th International Conference on Natural Language Processing, 2023. (2 citations)

*Complete list of publications — Google Scholar, citations: 204, h-index: 5