REALTIME QA: what's the answer right now? J Kasai, K Sakaguchi, R Le Bras, A Asai, X Yu, D Radev, NA Smith, ... Advances in Neural Information Processing Systems 36, 2024 | 100 | 2024 |
One question answering model for many languages with cross-lingual dense passage retrieval A Asai, X Yu, J Kasai, H Hajishirzi Advances in Neural Information Processing Systems 34, 7547-7560, 2021 | 70 | 2021 |
Buffet: Benchmarking large language models for few-shot cross-lingual transfer A Asai, S Kudugunta, XV Yu, T Blevins, H Gonen, M Reid, Y Tsvetkov, ... arXiv preprint arXiv:2305.14857, 2023 | 41* | 2023 |
Crepe: Open-domain question answering with false presuppositions XV Yu, S Min, L Zettlemoyer, H Hajishirzi arXiv e-prints, arXiv: 2211.17257, 2022 | 21* | 2022 |
Beyond counting datasets: a survey of multilingual dataset construction and necessary resources XV Yu, A Asai, T Chatterjee, J Hu, E Choi arXiv preprint arXiv:2211.15649, 2022 | 14 | 2022 |
CodeRAG-Bench: Can Retrieval Augment Code Generation? ZZ Wang, A Asai, XV Yu, FF Xu, Y Xie, G Neubig, D Fried arXiv preprint arXiv:2406.14497, 2024 | 7 | 2024 |
Murmur: Modular multi-step reasoning for semi-structured data-to-text generation S Saha, XV Yu, M Bansal, R Pasunuru, A Celikyilmaz arXiv preprint arXiv:2212.08607, 2022 | 7 | 2022 |
The Semantic Hub Hypothesis: Language Models Share Semantic Representations Across Languages and Modalities Z Wu, XV Yu, D Yogatama, J Lu, Y Kim arXiv preprint arXiv:2411.04986, 2024 | | 2024 |
LocateBench: Evaluating the Locating Ability of Vision Language Models TR Chiang, J Robinson, XV Yu, D Yogatama arXiv preprint arXiv:2410.19808, 2024 | | 2024 |
Principled Gradient-based Markov Chain Monte Carlo for Text Generation L Du, A Amini, LT Hennigen, XV Yu, J Eisner, H Lee, R Cotterell arXiv preprint arXiv:2312.17710, 2023 | | 2023 |
On Retrieval Augmentation and the Limitations of Language Model Training TR Chiang, XV Yu, J Robinson, O Liu, I Lee, D Yogatama arXiv preprint arXiv:2311.09615, 2023 | | 2023 |