By Dr Hamid Alinejad-Rokny

Conference Papers

Xu A; Yang Z; Li J; Yuan G; Chen L; Yan L; Zhou J; Qin Z; Chang H; Chen Y; Alinejad-Rokny H; Yang M, 2026, 'EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection', in Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, ACM, pp. 3506 - 3513, presented at SIGIR '26: The 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, http://dx.doi.org/10.1145/3805712.3808579

Chen G; Sun C; Fu C; Wang Q; Huang Z; Wei C; Chen G; Fang F; Argha A; Zhao B; Xu X; Han Q; Alinejad-Rokny H; Qu Q; Li B; Ni S; Yang M; Wei HU; Li Y, 2026, 'Beyond Quantity: Trajectory Diversity Scaling for Code Agents', in Findings of the Association for Computational Linguistics: ACL 2026, Association for Computational Linguistics, pp. 15676 - 15691, presented at Findings of the Association for Computational Linguistics: ACL 2026, - , http://dx.doi.org/10.18653/v1/2026.findings-acl.768

Li S; Shi J; Ni S; Zhang G; Li S; Wang S; Wen Z; LI Y; Alinejad-Rokny H; Liu J; Yang M; Huang W, 2026, 'CoTJudger: A Graph-Driven Framework for Automatic Evaluation of Chain-of-Thought Efficiency and Redundancy in LRMs', in Findings of the Association for Computational Linguistics: ACL 2026, Association for Computational Linguistics, pp. 41837 - 41863, presented at Findings of the Association for Computational Linguistics: ACL 2026, - , http://dx.doi.org/10.18653/v1/2026.findings-acl.2077

Li S; Fan L; li Z; Wan Z; Lin Y; Ni S; Fang F; Alinejad-Rokny H; Song Y; Jing K; Zhang CJ; Yang M, 2026, 'SrDetection: A Self-Referential Framework for Data Leakage Detection in Code Large Language Models', in Findings of the Association for Computational Linguistics: ACL 2026, Association for Computational Linguistics, pp. 5117 - 5129, presented at Findings of the Association for Computational Linguistics: ACL 2026, - , http://dx.doi.org/10.18653/v1/2026.findings-acl.252

Luo R; Li Y; Chen L; He W; Lin TE; Liu Z; Zhang L; Song Z; Alinejad-Rokny H; Xia X; Liu T; Hui B; Yang M, 2025, 'DEEM: DIFFUSION MODELS SERVE AS THE EYES OF LARGE LANGUAGE MODELS FOR IMAGE PERCEPTION', in 13th International Conference on Learning Representations Iclr 2025, Singapore, pp. 72484 - 72511, presented at The Thirteenth International Conference on Learning Representations, Singapore, 24 April 2025 - 28 April 2025, chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://proceedings.iclr.cc/paper_files/paper/2025/file/a8399aace3dfa6dfb8b635117748c561-Paper-Conference.pdf

Doan BG; Shamsi A; Guo XY; Mohammadi A; Alinejad-Rokny H; Sejdinovic D; Teney D; Ranasinghe DC; Abbasnejad E, 2025, 'Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks', in Proceedings of the Aaai Conference on Artificial Intelligence, pp. 16298 - 16307, http://dx.doi.org/10.1609/aaai.v39i15.33790

Chen G; Fan L; Gong Z; Xie N; Li Z; Liu Z; Li C; Qu Q; Alinejad-Rokny H; Ni S; Yang M, 2025, 'AgentCourt: Simulating Court with Adversarial Evolvable Lawyer Agents', in Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 5850 - 5865, http://dx.doi.org/10.18653/v1/2025.findings-acl.304

Chen L; Shan R; Wang H; Wang L; Liu Z; Luo R; Wang J; Alinejad-Rokny H; Yang M, 2025, 'CLaSp: In-Context Layer Skip for Self-Speculative Decoding', in Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 31608 - 31618, http://dx.doi.org/10.18653/v1/2025.acl-long.1525

Zhu J; Tan M; Yang M; Li R; Alinejad-Rokny H, 2025, 'CollectiveSFT: Scaling Large Language Models for Chinese Medical Benchmark with Collective Instructions in Healthcare', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 51 - 60, http://dx.doi.org/10.1007/978-981-96-1151-5_6

Shamsi A; Becirovic R; Argha A; Abbasnejad E; Alinejad-Rokny H; Mohammadi A, 2025, 'ETAGE: Enhanced Test Time Adaptation with Integrated Entropy and Gradient Norms for Robust Model Performance', in Conference Proceedings IEEE International Conference on Systems Man and Cybernetics, pp. 5907 - 5911, http://dx.doi.org/10.1109/SMC58881.2025.11342706

Chen D; Liu Z; Fang F; Leong CT; Ni S; Argha A; Alinejad-Rokny H; Yang M; Li C, 2025, 'Expanding before Inferring: Enhancing Factuality in Large Language Models through Premature Layers Interpolation', in Emnlp 2025 2025 Conference on Empirical Methods in Natural Language Processing Proceedings of the Conference, pp. 12770 - 12785, http://dx.doi.org/10.18653/v1/2025.emnlp-main.645

Sun Y; Chen G; Alinejad-Rokny H; Bao J; Huang Y; Liang B; Wong KF; Yang M; Xu R, 2025, 'Learning First-Order Logic Rules for Argumentation Mining', in Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 14133 - 14148, http://dx.doi.org/10.18653/v1/2025.acl-long.691

Zhu K; Zang Q; Jia S; Wu S; Fang F; Li Y; Guo S; Zheng T; Li B; Wu H; Qu X; Yang J; Liu Z; Yue X; Liu J; Lin C; Yang M; Alinejad-Rokny H; Ni S; Huang W; Zhang G, 2025, 'LIME: Less Is More for MLLM Evaluation', in Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 9086 - 9121, http://dx.doi.org/10.18653/v1/2025.findings-acl.474

Luo R; Zhang H; Chen L; Lin TE; Liu X; Wu Y; Yang M; Li Y; Wang M; Zeng P; Gao L; Shen HT; Li Y; Alinejad-Rokny H; Xia X; Huang F; Song J, 2025, 'MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct', in Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 19655 - 19682, http://dx.doi.org/10.18653/v1/2025.findings-acl.1009

Lee S; Zhou J; Ao C; Li K; Du X; He S; Wu H; Liu T; Liu J; Alinejad-Rokny H; Yang M; Liang Y; Wen Z; Ni S, 2025, 'Quantification of Large Language Model Distillation', in Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 4985 - 5004, http://dx.doi.org/10.18653/v1/2025.acl-long.248

Zhao J; Xu L; Tan M; Zhang L; Argha A; Alinejad-Rokny H; Yang M, 2025, 'RxSafeBench: Identifying Medication Safety Issues of Large Language Models in Simulated Consultation', in Proceedings 2025 IEEE International Conference on Bioinformatics and Biomedicine Bibm 2025, pp. 4491 - 4496, http://dx.doi.org/10.1109/BIBM66473.2025.11356353

Li J; Chen Y; Liu Z; Tan M; Zhang L; Li Y; Luo R; Chen L; Luo J; Argha A; Alinejad-Rokny H; Zhou W; Yang M, 2025, 'STORYTELLER: An Enhanced Plot-planning Framework for Coherent and Cohesive Story Generation', in Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 20818 - 20846, http://dx.doi.org/10.18653/v1/2025.findings-acl.1071

Hansun S; Argha A; Alinejad-Rokny H; Liaw ST; Celler BG; Marks GB, 2024, 'Pulmonary Tuberculosis Detection Using an Ensemble of ConvNeXts', in Ibiomed 2024 Proceedings of the 5th International Conference on Biomedical Engineering 2024, pp. 29 - 33, http://dx.doi.org/10.1109/iBioMed62485.2024.10875706

Argha A; Li J; Magdy J; Alinejad-Rokny H; Celler BG; Butcher K; Ooi SY; Lovell NH, 2023, 'Assessing the Generalizability of a Deep Learning-based Automated Atrial Fibrillation Algorithm', in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBS, Institute of Electrical and Electronics Engineers (IEEE), AUSTRALIA, Sydney, pp. 1 - 6, presented at 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), AUSTRALIA, Sydney, 24 July 2023 - 27 July 2023, http://dx.doi.org/10.1109/EMBC40787.2023.10341108

Montazerin M; Rahimian E; Naderkhani F; Atashzar SF; Alinejad-Rokny H; Mohammadi A, 2023, 'HYDRA-HGR: A Hybrid Transformer-Based Architecture for Fusion of Macroscopic and Microscopic Neural Drive Information', in ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, http://dx.doi.org/10.1109/ICASSP49357.2023.10096192

Asgharnezhad H; Shamsi A; Bakhshayeshi I; Alizadehsani R; Chamaani S; Alinejad-Rokny H, 2023, 'Improving PPG Signal Classification with Machine Learning: The Power of a Second Opinion', in International Conference on Digital Signal Processing DSP, http://dx.doi.org/10.1109/DSP58604.2023.10167869

Shahabikargar M; Beheshti A; Khatami A; Nguyen R; Zhang X; Alinejad-Rokny H, 2022, 'Domain Knowledge Enhanced Text Mining for Identifying Mental Disorder Patterns', in Proceedings 2022 IEEE 9th International Conference on Data Science and Advanced Analytics Dsaa 2022, http://dx.doi.org/10.1109/DSAA54385.2022.10032346

Khozeimeh F; Roshanzamir M; Shoeibi A; Darbandy MT; Alizadehsani R; Alinejad-Rokny H; Ahmadian D; Khosravi A; Nahavandi S, 2022, 'Importance of Wearable Health Monitoring Systems Using IoMT; Requirements, Advantages, Disadvantages and Challenges', in IEEE Joint 22nd International Symposium on Computational Intelligence and Informatics and 8th International Conference on Recent Achievements in Mechatronics Automation Computer Science and Robotics Cinti Macro 2022 Proceedings, pp. 245 - 250, http://dx.doi.org/10.1109/CINTI-MACRo57952.2022.10029528

Danaei S; Bostani A; Moravvej SV; Mohammadi F; Alizadehsani R; Shoeibi A; Alinejad-Rokny H; Nahavandi S, 2022, 'Myocarditis Diagnosis: A Method using Mutual Learning-Based ABC and Reinforcement Learning', in IEEE Joint 22nd International Symposium on Computational Intelligence and Informatics and 8th International Conference on Recent Achievements in Mechatronics Automation Computer Science and Robotics Cinti Macro 2022 Proceedings, pp. 265 - 270, http://dx.doi.org/10.1109/CINTI-MACRo57952.2022.10029403

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