CS Graduate Student

Publications

Google Scholar citations: 176, h-index: 4  —  Google Scholar Profile

Accepted Papers (2026)

  1. A. Hussain, G. Srivastava, A. Ishmam, Z. Hakim, and C. Thomas. “SoundBreak: A Systematic Study of Audio-Only Adversarial Attacks on Trimodal Models.” Accepted at Annual Meeting of the Association for Computational Linguistics (ACL 2026 Main Conference) (Acceptance Rate: 19%). [paper]

  2. G. Srivastava, A. Hussain, C. Wang, Y. C. Lin, and X. Wang. “EffGen: Enabling Small Language Models as Capable Autonomous Agents.” Accepted at International Conference on Machine Learning (ICML 2026) (Acceptance Rate: 26.6%). [paper] [website]

  3. G. Srivastava, A. Hussain, S. Srinivasan, and X. Wang. “Do LLMs Overthink Basic Math Reasoning? Benchmarking the Accuracy-Efficiency Tradeoff in Language Models.” To appear in Findings of the Annual Meeting of the Association for Computational Linguistics (ACL 2026) (Findings Acceptance Rate: 18%). [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: 176, h-index: 4