| 2025 | ACL | Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models. | Fei Wang, Xingchen Wan, Ruoxi Sun, Jiefeng Chen, Sercan . Arik |
| 2025 | ICLR | From Few to Many: Self-Improving Many-Shot Reasoners Through Iterative Optimization and Generation. | Xingchen Wan, Han Zhou, Ruoxi Sun, Sercan . Arik |
| 2024 | AAAI | Working Memory Capacity of ChatGPT: An Empirical Study. | Dongyu Gong, Xingchen Wan, Dingmin Wang |
| 2024 | AISTATS | Adaptive Batch Sizes for Active Learning: A Probabilistic Numerics Approach. | Masaki Adachi, Satoshi Hayakawa, Martin Jrgensen, Xingchen Wan, Vu Nguyen, Harald Oberhauser, Michael A. Osborne |
| 2024 | EMNLP | Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments. | Han Zhou, Xingchen Wan, Yinhong Liu, Nigel Collier, Ivan Vulic, Anna Korhonen |
| 2024 | ICLR | Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering. | Han Zhou, Xingchen Wan, Lev Proleev, Diana Mincu, Jilin Chen, Katherine A. Heller, Subhrajit Roy |
| 2023 | ACL | Better Zero-Shot Reasoning with Self-Adaptive Prompting. | Xingchen Wan, Ruoxi Sun, Hanjun Dai, Sercan . Arik, Tomas Pfister |
| 2023 | EMNLP | Universal Self-Adaptive Prompting. | Xingchen Wan, Ruoxi Sun, Hootan Nakhost, Hanjun Dai, Julian Eisenschlos, Sercan . Arik, Tomas Pfister |
| 2023 | EMNLP | Survival of the Most Influential Prompts: Efficient Black-Box Prompt Search via Clustering and Pruning. | Han Zhou, Xingchen Wan, Ivan Vulic, Anna Korhonen |
| 2022 | DATE | BOiLS: Bayesian Optimisation for Logic Synthesis. | Antoine Grosnit, Cdric Malherbe, Rasul Tutunov, Xingchen Wan, Jun Wang, Haitham Bou-Ammar |
| 2022 | ICLR | On Redundancy and Diversity in Cell-based Neural Architecture Search. | Xingchen Wan, Binxin Ru, Pedro M. Esperana, Zhenguo Li |
| 2022 | WACV | Approximate Neural Architecture Search via Operation Distribution Learning. | Xingchen Wan, Binxin Ru, Pedro M. Esperana, Fabio Maria Carlucci |
| 2021 | ICLR | Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels. | Bin Xin Ru, Xingchen Wan, Xiaowen Dong, Michael A. Osborne |
| 2021 | ICML | Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces. | Xingchen Wan, Vu Nguyen, Huong Ha, Bin Xin Ru, Cong Lu, Michael A. Osborne |