| Diffuseq: Sequence to sequence text generation with diffusion models S Gong, M Li, J Feng, Z Wu, LP Kong arXiv preprint arXiv:2210.08933, 2022 | 181 | 2022 |
| L-eval: Instituting standardized evaluation for long context language models C An, S Gong, M Zhong, M Li, J Zhang, L Kong, X Qiu arXiv preprint arXiv:2307.11088, 2023 | 37* | 2023 |
| Positive, negative and neutral: Modeling implicit feedback in session-based news recommendation S Gong, KQ Zhu Proceedings of the 45th international ACM SIGIR conference on research and …, 2022 | 29 | 2022 |
| In-context learning with many demonstration examples M Li, S Gong, J Feng, Y Xu, J Zhang, Z Wu, L Kong arXiv preprint arXiv:2302.04931, 2023 | 6 | 2023 |
| Training-Free Long-Context Scaling of Large Language Models C An, F Huang, J Zhang, S Gong, X Qiu, C Zhou, L Kong arXiv preprint arXiv:2402.17463, 2024 | 1 | 2024 |
| DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for Accelerated Seq2Seq Diffusion Models S Gong, M Li, J Feng, Z Wu, L Kong arXiv preprint arXiv:2310.05793, 2023 | 1 | 2023 |
| Transferable and efficient: Unifying dynamic multi-domain product categorization S Gong, Z Zhou, S Wang, F Chen, X Song, X Cao, Y Xian, K Zhu Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 1 | 2023 |
| BBA: Bi-Modal Behavioral Alignment for Reasoning with Large Vision-Language Models X Zhao, X Huang, T Fu, Q Li, S Gong, L Liu, W Bi, L Kong arXiv preprint arXiv:2402.13577, 2024 | | 2024 |
| Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models J Ye, S Gong, L Chen, L Zheng, J Gao, H Shi, C Wu, Z Li, W Bi, L Kong arXiv preprint arXiv:2402.07754, 2024 | | 2024 |
| Few-Shot Natural Language Inference Generation with PDD: Prompt and Dynamic Demonstration K Li, S Gong, KQ Zhu arXiv preprint arXiv:2205.10593, 2022 | | 2022 |
Lingpeng KongGoogle DeepMind, The University of Hong KongVerified email at cs.hku.hk
