متابعة
Xingchen Wan
Xingchen Wan
Google
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عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels‏
B Ru*, X Wan*, X Dong, M Osborne‏
International Conference on Learning Representations (ICLR) 9, 2021‏
1292021
Sentiment Correlation in Financial News Networks and Associated Market Movements‏
X Wan*, J Yang*, S Marinov, JP Calliess, S Zohren, X Dong‏
Scientific Reports 11 (3062), 2021‏
782021
Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces‏
X Wan, V Nguyen, H Ha, B Ru, C Lu, MA Osborne‏
International Conference on Machine Learning (ICML) 38, 10663-10674, 2021‏
732021
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization‏
S Daulton, X Wan, D Eriksson, M Balandat, MA Osborne, E Bakshy‏
Advances in Neural Information Processing Systems (NeurIPS) 35, 2022‏
532022
Better Zero-Shot Reasoning with Self-Adaptive Prompting‏
X Wan, R Sun, H Dai, SO Arik, T Pfister‏
Findings of the Association for Computational Linguistics: ACL 2023, 2023‏
492023
Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering‏
H Zhou, X Wan, L Proleev, D Mincu, J Chen, K Heller, S Roy‏
International Conference on Learning Representations (ICLR) 12, 2024‏
482024
BOiLS: Bayesian Optimisation for Logic Synthesis‏
A Grosnit*, C Malherbe*, R Tutunov, X Wan, J Wang, HB Ammar‏
Design, Automation & Test in Europe Conference & Exhibition (DATE) 25, 1193-1196, 2022‏
46*2022
AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-Tuning‏
H Zhou*, X Wan*, I Vulić, A Korhonen‏
Transactions of the Association for Computational Linguistics (TACL) 12, 525–542, 2024‏
442024
Adversarial Attacks on Graph Classifiers via Bayesian Optimisation‏
X Wan, H Kenlay, B Ru, A Blaas, M Osborne, X Dong‏
Advances in Neural Information Processing Systems (NeurIPS) 34, 2021‏
37*2021
On Redundancy and Diversity in Cell-based Neural Architecture Search‏
X Wan, B Ru, PM Esperança, Z Li‏
International Conference on Learning Representations (ICLR) 10, 2022‏
252022
Bayesian Generational Population-Based Training‏
X Wan, C Lu, J Parker-Holder, PJ Ball, V Nguyen, B Ru, M Osborne‏
International Conference on Automated Machine Learning (AutoML-Conf) 1, 14/1-27, 2022‏
222022
Universal Self-Adaptive Prompting‏
X Wan, R Sun, H Nakhost, H Dai, JM Eisenschlos, SO Arik, T Pfister‏
Empirical Methods in Natural Language Processing (EMNLP), 2023‏
202023
Deep Curvature Suite‏
D Granziol, X Wan, T Garipov‏
arXiv preprint arXiv:1912.09656, 2019‏
20*2019
Iterate Averaging in the Quest for Best Test Error‏
D Granziol*, N Baskerville*, X Wan*, S Albanie, S Roberts‏
Journal of Machine Learning Research (JMLR) 25, 2024‏
18*2024
Astute RAG: Overcoming Imperfect Retrieval Augmentation and Knowledge Conflicts for Large Language Models‏
F Wang, X Wan, R Sun, J Chen, SÖ Arık‏
arXiv preprint arXiv:2410.07176, 2024‏
172024
Survival of the Most Influential Prompts: Efficient Black-Box Prompt Search via Clustering and Pruning‏
H Zhou*, X Wan*, I Vulić, A Korhonen‏
Findings of the Association for Computational Linguistics: EMNLP 2023, 2023‏
162023
Working Memory Capacity of ChatGPT: An Empirical Study‏
D Gong, X Wan, D Wang‏
AAAI Conference on Artificial Intelligence (AAAI) 38, 2024‏
132024
Approximate Neural Architecture Search via Operation Distribution Learning‏
X Wan, B Ru, PM Esperança, FM Carlucci‏
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2377-2386, 2022‏
112022
Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization‏
X Wan, R Sun, H Nakhost, SO Arik‏
Advances in Neural Information Processing Systems (NeurIPS) 37, 2024‏
82024
Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments‏
H Zhou, X Wan, Y Liu, N Collier, I Vulić, A Korhonen‏
Empirical Methods in Natural Language Processing (EMNLP), 2024‏
82024
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مقالات 1–20