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Zhang, Y., Fan, N., Zheng, H., Liang, J., Pan, Z., Chen, Q. & Lyu, X., 2025, Threat-aware UAV Dodging of Human-Thrown Projectiles with an RGB-D Camera. IEEE Robotics and Automation Letters. vol. 11, no. 2, p. 1178–1185, article no. 11283030.

Yuan, Y., Wang, X., Li, J., Chen, G. & Heng, P. A., 2025, PAL: Boosting Skin Lesion Segmentation via Probabilistic Attribute Learning. IEEE Transactions on Medical Imaging. vol. 44, no. 12, p. 5183–5196, article no. 11078393.

Yang, X., Dang, X., Cai, J., Li, J., Wang, X. & Heng, P. A., 2025, Temporal-Multimodal Consistency Alignment for Alzheimer's Cognitive Assessment Prediction. Medical Physics. vol. 52, no. 6, p. 5064–5080.

Lei, Y., Ma, S., Sun, Y. & Ma, X., 2025, "AI Afterlife" as Digital Legacy: Perceptions, Expectations, and Concerns. CHI 2025 - Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery (ACM), p. 1–18 (article no. 981).

Liu, D., Zhang, Y., Zhao, B., Ma, S., Shi, C. & Ma, X., 2025, Scaffolded Turns and Logical Conversations: Designing Humanized LLM-Powered Conversational Agents for Hospital Admission Interviews. CHI 2025 - Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery (ACM), p. 1–23 (article no. 643).

Cai, J., Mayberry, S., Yin, H. & Zhang, F., 2025, A Data-Driven Velocity Estimator for Autonomous Underwater Vehicles Experiencing Unmeasurable Flow and Wave Disturbance. 2025 IEEE International Conference on Robotics and Automation, ICRA 2025. Institute of Electrical and Electronics Engineers (IEEE), p. 4138–4144.

Meng, W., Wu, T., Yin, H. & Zhang, F., 2025, BEINGS: Bayesian Embodied Image-Goal Navigation with Gaussian Splatting. 2025 IEEE International Conference on Robotics and Automation, ICRA 2025. Institute of Electrical and Electronics Engineers (IEEE), p. 5252–5258.

Wu, T., Fu, J., Meng, W., Cho, S., Zhan, H. & Zhang, F., 2025, Design of a Formation Control System to Assist Human Operators in Flying a Swarm of Robotic Blimps. 2025 IEEE International Conference on Robotics and Automation, ICRA 2025. Institute of Electrical and Electronics Engineers (IEEE), p. 8929–8935 (article no. 11128354).

Lyu, M., Wu, T. & Zhang, F., 2025, Design of a Gesture-Controlled Multi-Blimp System. Proceedings - 2025 10th International Conference on Automation, Control and Robotics Engineering, CACRE 2025. Institute of Electrical and Electronics Engineers (IEEE), p. 65–71 (article no. 11119595).

Wu, T., Lyu, M., Zhao, Y., Fu, J., Yang, Y., Tao, Q. & Zhang, F., 2025, QuietBlimp: A Human-Friendly Miniature Autonomous Noise-Mild Blimp for Indoor Environment. 2025 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2025. Institute of Electrical and Electronics Engineers (IEEE), article no. 11175635.

Zong, Q., Wang, Z., Ren, X., Zheng, T. & Song, Y., 2025, ComparisonQA: Evaluating Factuality Robustness of LLMs Through Knowledge Frequency Control and Uncertainty. Findings of the Association for Computational Linguistics: ACL 2025. Association for Computational Linguistics (ACL), p. 4101–4117.

Zhang, L., Wang, W., Fang, T. & Song, Y., 2025, ConKE: Conceptualization-Augmented Knowledge Editing in Large Language Models for Commonsense Reasoning. Findings of the Association for Computational Linguistics, ACL 2025. Association for Computational Linguistics (ACL), p. 627–635.

Wang, W., Cui, L., Liu, X., Nag, S., Xu, W., Luo, C., Sarwar, S. M., Li, Y., Gu, H., Liu, H., Yu, C., Bai, J., Gao, Y., Zhang, H., He, Q., Ji, S. & Song, Y., 2025, EcomScriptBench: A Multi-task Benchmark for E-commerce Script Planning via Step-wise Intention-Driven Product Association. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2025. Association for Computational Linguistics (ACL), p. 1–22.

Zheng, T., Li, W., Bai, J., Wang, W. & Song, Y., 2025, KnowShiftQA: How Robust are RAG Systems when Textbook Knowledge Shifts in K-12 Education? Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), ACL 2025. Association for Computational Linguistics (ACL), p. 183–195.

Wang, W. & Song, Y., 2025, MARS: Benchmarking the Metaphysical Reasoning Abilities of Language Models with a Multi-task Evaluation Dataset. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2025. Association for Computational Linguistics (ACL), p. 1568–1596.

Li, H., Hu, W., Jing, H., Chen, Y., Hu, Q., Han, S., Chu, T., Hu, P. & Song, Y., 2025, PrivaCI-Bench: Evaluating Privacy with Contextual Integrity and Legal Compliance. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics (ACL), p. 10544–10559.

Liu, J., Zong, Q., Wang, W. & Song, Y., 2025, Revisiting Epistemic Markers in Confidence Estimation: Can Markers Accurately Reflect Large Language Models' Uncertainty? Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), ACL 2025. Association for Computational Linguistics (ACL), p. 206–221.

Haslett, D. A., Chan, A. B. & Hsiao, J. H.-W., 2025, Large Language Model Tokens are Psychologically Salient. Paper presented at The 47th Annual Meeting of the Cognitive Science Society (COGSCI2025), San Francisco, United States. p. 4819.

Qi, R., Papyshev, G., Tsai, K. S., Chan, A. B. & Hsiao, J. H.-W., 2025, Whose Values Prevail? Bias in Large Language Model Value Alignment. Paper presented at 47th Annual Meeting of the Cognitive Science Society, San Francisco, United States. p. 665–672.

Hu, W., Li, H., Jing, H., Hu, Q., Zeng, Z., Han, S., Xu, H., Chu, T., Hu, P. & Song, Y., 2025, Context Reasoner: Incentivizing Reasoning Capability for Contextualized Privacy and Safety Compliance via Reinforcement Learning. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics (ACL), p. 865–883.

Cheng, J., Zhuang, Q., Li, H., Chan, C., Liu, X., Qiu, L. & Song, Y., 2025, InteGround: on the Evaluation of Verification and Retrieval Planning in Integrative Grounding. EMNLP 2025 - 2025 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2025. Association for Computational Linguistics (ACL), p. 13587–13602.

Zheng, T., Cheng, J., Li, C., Shi, H., Wang, Z., Bai, J., Song, Y., Wong, G. Y. & See, S., 2025, LogiDynamics: Unraveling the Dynamics of Inductive, Abductive and Deductive Logical Inferences in LLM Reasoning. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics (ACL), p. 20710–20731.

Jing, H., Li, H., Hu, W., Hu, Q., Xu, H., Chu, T., Hu, P. & Song, Y., 2025, MCIP: Protecting MCP Safety via Model Contextual Integrity Protocol. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics (ACL), p. 1177–1194.

Chen, T., Xu, X., Liu, Z., Li, P., Song, X., Jaiswal, A. K., Zhang, F., Hu, J., Wang, Y., Chen, H., Diao, S., Liu, S., Li, Y., Yin, L. & Yang, C., 2025, GPAS: Accelerating Convergence of LLM Pretraining via Gradient-Preserving Activation Scaling. Proceedings of the 39th Conference on Neural Information Processing Systems (NeurIPS 2025). article no. 21177.

Wang, Z., Yu, W., Ren, X., Zhang, J., Zhao, Y., Saxena, R., Cheng, L., Wong, G., See, S., Minervini, P., Song, Y. & Steedman, M., 2025, MMLongBench: Benchmarking Long-Context Vision-Language Models Effectively and Thoroughly. Paper presented at The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025), California, United States.

Wang, H., Lu, J., Li, H. & Li, X., 2025, ZEBRA: Towards Zero-Shot Cross-Subject Generalization for Universal Brain Visual Decoding. Proceedings of the 39th Conference on Neural Information Processing Systems (NeurIPS 2025). 2025.

Haslett, D., Huang, L. T.-L., Khalatbari, L., Hsiao, J. H.-W. & Chan, A. B., 2025, Made-in China, Thinking in America: U.S. Values Persist in Chinese LLMs. CogSci Asia–Pacific Meetup 2025.