Selected Publications

Chengzu Li, Zanyi Wang, Jiaang Li, Yi Xu, Han Zhou, Huanyu Zhang, Ruichuan An, Dengyang Jiang, Zhaochong An, Ivan Vulić, Serge Belongie, Anna Korhonen (2026). Thinking in Frames: How Visual Context and Test-Time Scaling Empower Video Reasoning. arXiv preprint arXiv:2601.21037.

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Han Zhou, Xingchen Wan, Ivan Vulić, Anna Korhonen (2025). Agentic Policy Optimization via Instruction-Policy Co-Evolution. arXiv preprint arXiv:2512.01945.

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Xingchen Wan, Han Zhou, Ruoxi Sun, Hootan Nakhost, Ke Jiang, Rajarishi Sinha, Sercan Ö. Arık (2025). Maestro: Self-Improving Text-to-Image Generation via Agent Orchestration. arXiv preprint arXiv:2509.10704.

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Yi Xu, Chengzu Li, Han Zhou, Xingchen Wan, Caiqi Zhang, Anna Korhonen, Ivan Vulić (2025). Visual Planning: Let's Think Only with Images. International Conference on Learning Representations (ICLR 2026 Oral).

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Han Zhou, Xingchen Wan, Ruoxi Sun, Hamid Palangi, Shariq Iqbal, Ivan Vulić, Anna Korhonen, Sercan Ö. Arık (2025). Multi-Agent Design: Optimizing Agents with Better Prompts and Topologies. International Conference on Learning Representations (ICLR).

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Xingchen Wan, Han Zhou, Ruoxi Sun, Sercan Ö. Arık (2025). From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation. International Conference on Learning Representations (ICLR).

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Han Zhou, Xingchen Wan, Yinhong Liu, Nigel Collier, Ivan Vulić, Anna Korhonen (2024). Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments. The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP).

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Chengzu Li, Caiqi Zhang, Han Zhou, Nigel Collier, Anna Korhonen, Ivan Vulić (2024). TopViewRS: Vision-Language Models as Top-View Spatial Reasoners. The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP).

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Yinhong Liu, Han Zhou, Zhijiang Guo, Ehsan Shareghi, Ivan Vulić, Anna Korhonen, Nigel Collier (2024). Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators. The First Conference on Language Modeling (COLM).

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Han Zhou, Xingchen Wan, Lev Proleev, Diana Mincu, Jilin Chen, Katherine Heller, Subhrajit Roy (2024). Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering. International Conference on Learning Representations (ICLR).

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Han Zhou, Xingchen Wan, Ivan Vulić, Anna Korhonen (2024). AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-Tuning. Transactions of the Association for Computational Linguistics (TACL).

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Chengzu Li, Han Zhou, Goran Glavaš, Anna Korhonen, Ivan Vulić (2023). Large Language Models are Miscalibrated In-Context Learners. Findings of the Association for Computational Linguistics (ACL 2025).

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Han Zhou, Xingchen Wan, Ivan Vulić, Anna Korhonen (2023). Survival of the Most Influential Prompts: Efficient Black-Box Prompt Search via Clustering and Pruning. Findings of the Association for Computational Linguistics (EMNLP).

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Songbo Hu, Han Zhou, Zhangdie Yuan, Milan Gritta, Guchun Zhang, Ignacio Iacobacci, Anna Korhonen, Ivan Vulić (2023). A Systematic Study of Performance Disparities in Multilingual Task-Oriented Dialogue Systems. The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP).

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Songbo Hu, Han Zhou, Mete Hergul, Milan Gritta, Guchun Zhang, Ignacio Iacobacci, Ivan Vulić, Anna Korhonen (2023). Multi3WOZ: A Multilingual, Multi-Domain, Multi-Parallel Dataset for Training and Evaluating Culturally Adapted Task-Oriented Dialog Systems. Transactions of the Association for Computational Linguistics (TACL).

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Han Zhou, Ignacio Iacobacci, Pasquale Minervini (2023). XQA-DST: Multi-Domain and Multi-Lingual Dialogue State Tracking. Findings of the Association for Computational Linguistics (EACL).

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