Xinyan Yu

According to our database, Xinyan Yu authored at least 13 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Don't Let It Hallucinate: Premise Verification via Retrieval-Augmented Logical Reasoning.

Yuehan Qin, Shawn Li, Yi Nian, Xinyan Velocity Yu, Yue Zhao, Xuezhe Ma

CoRR, April, 2025

CodeRAG-Bench: Can Retrieval Augment Code Generation?

Zora Zhiruo Wang, Akari Asai, Xinyan Velocity Yu, Frank F. Xu, Yiqing Xie, Graham Neubig, Daniel Fried

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

The Semantic Hub Hypothesis: Language Models Share Semantic Representations Across Languages and Modalities.

Zhaofeng Wu, Xinyan Velocity Yu, Dani Yogatama, Jiasen Lu, Yoon Kim

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

LocateBench: Evaluating the Locating Ability of Vision Language Models.

Ting-Rui Chiang, Joshua Robinson, Xinyan Velocity Yu, Dani Yogatama

CoRR, 2024

On Retrieval Augmentation and the Limitations of Language Model Training.

Ting-Rui Chiang, Xinyan Yu, Joshua Robinson, Ollie Liu, Isabelle Lee, Dani Yogatama

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer.

Akari Asai, Sneha Kudugunta, Xinyan Yu, Terra Blevins, Hila Gonen, Machel Reid, Yulia Tsvetkov, Sebastian Ruder, Hannaneh Hajishirzi

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Principled Gradient-Based MCMC for Conditional Sampling of Text.

Li Du, Afra Amini, Lucas Torroba Hennigen, Xinyan Velocity Yu, Holden Lee, Jason Eisner, Ryan Cotterell

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Principled Gradient-based Markov Chain Monte Carlo for Text Generation.

Li Du, Afra Amini, Lucas Torroba Hennigen, Xinyan Velocity Yu, Jason Eisner, Holden Lee, Ryan Cotterell

CoRR, 2023

RealTime QA: What's the Answer Right Now?

Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, Ronan Le Bras, Akari Asai, Xinyan Yu, Dragomir Radev, Noah A. Smith, Yejin Choi, Kentaro Inui

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text Generation.

Swarnadeep Saha, Xinyan Yu, Mohit Bansal, Ramakanth Pasunuru, Asli Celikyilmaz

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

CREPE: Open-Domain Question Answering with False Presuppositions.

Xinyan Yu, Sewon Min, Luke Zettlemoyer, Hannaneh Hajishirzi

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Beyond Counting Datasets: A Survey of Multilingual Dataset Construction and Necessary Resources.

Xinyan Yu, Trina Chatterjee, Akari Asai, Junjie Hu, Eunsol Choi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval.

Akari Asai, Xinyan Yu, Jungo Kasai, Hanna Hajishirzi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021