| Video-LLaMA: An instruction-tuned audio-visual language model for video understanding H Zhang, X Li, L Bing EMNLP 2023 Demo Track, 2023 | 510 | 2023 |
| Annollm: Making large language models to be better crowdsourced annotators X He, Z Lin, Y Gong, A Jin, H Zhang, C Lin, J Jiao, SM Yiu, N Duan, ... arXiv preprint arXiv:2303.16854, 2023 | 130 | 2023 |
| Adversarial Retriever-Ranker for dense text retrieval H Zhang, Y Gong, Y Shen, J Lv, N Duan, W Chen ICLR 2022, 2022 | 109 | 2022 |
| Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding S Leng*, H Zhang*, G Chen, X Li, S Lu, C Miao, L Bing CVPR 2024, 2023 | 83 | 2023 |
| Poolingformer: Long document modeling with pooling attention H Zhang, Y Gong, Y Shen, W Li, J Lv, N Duan, W Chen ICML 2021, 2021 | 77 | 2021 |
| Glge: A new general language generation evaluation benchmark D Liu, Y Yan, Y Gong, W Qi, H Zhang, J Jiao, W Chen, J Fu, L Shou, ... ACL 2021 Findings, 2020 | 71 | 2020 |
| SeaLLMs--Large Language Models for Southeast Asia XP Nguyen, W Zhang, X Li, M Aljunied, Q Tan, L Cheng, G Chen, Y Deng, ... ACL 2024 Demo, 2024 | 38 | 2024 |
| VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs Z Cheng*, S Leng*, H Zhang*, Y Xin*, X Li*, G Chen, Y Zhu, W Zhang, ... arXiv preprint arXiv:2406.07476, 2024 | 32 | 2024 |
| CodeRetriever: Unimodal and Bimodal Contrastive Learning X Li, Y Gong, Y Shen, X Qiu, H Zhang, B Yao, W Qi, D Jiang, W Chen, ... EMNLP 2022, 2022 | 26* | 2022 |
| The COVID-19 outbreak in Sichuan, China: epidemiology and impact of interventions QH Liu, AI Bento, K Yang, H Zhang, X Yang, S Merler, A Vespignani, J Lv, ... PLoS computational biology 16 (12), e1008467, 2020 | 24 | 2020 |
| Coderetriever: A large scale contrastive pre-training method for code search X Li, Y Gong, Y Shen, X Qiu, H Zhang, B Yao, W Qi, D Jiang, W Chen, ... Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 22 | 2022 |
| Sentiment-Aware Word and Sentence Level Pre-training for Sentiment Analysis S Fan, C Lin, H Li, Z Lin, J Su, H Zhang, Y Gong, J Guo, N Duan EMNLP 2022, 2022 | 22 | 2022 |
| Prod: Progressive distillation for dense retrieval Z Lin, Y Gong, X Liu, H Zhang, C Lin, A Dong, J Jiao, J Lu, D Jiang, ... WWW 2023, 2022 | 21 | 2022 |
| Metric-guided Distillation: Distilling Knowledge from the Metric to Ranker and Retriever for Generative Commonsense Reasoning X He, Y Gong, A Jin, W Qi, H Zhang, J Jiao, B Zhou, B Cheng, SM Yiu, ... EMNLP 2022, 2022 | 14 | 2022 |
| Let's be Humorous: Knowledge Enhanced Humor Generation H Zhang, D Liu, J Lv, C Luo arXiv preprint arXiv:2004.13317, 2020 | 13 | 2020 |
| Key factors of email subject generation M Xue, H Zhang, J Lv ICONIP 2020, 2020 | 5 | 2020 |
| APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning J Sun, H Zhang, C Lin, Y Gong, J Guo, N Duan COLING 2024, 2022 | 4 | 2022 |
| Noisy Pair Corrector for Dense Retrieval H Zhang, Y Gong, X He, D Liu, D Guo, J Lv, J Guo EMNLP 2023 Findings, 2023 | 2 | 2023 |
| Curriculum Sampling for Dense Retrieval with Document Expansion X He, Y Gong, A Jin, H Zhang, A Dong, J Jiao, SM Yiu, N Duan EMNLP 2023, 2022 | 2 | 2022 |
| The Curse of Multi-Modalities: Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio S Leng, Y Xing, Z Cheng, Y Zhou, H Zhang, X Li, D Zhao, S Lu, C Miao, ... arXiv preprint arXiv:2410.12787, 2024 | | 2024 |
Yeyun GongMicrosoft Research Asia在 microsoft.com 的电子邮件经过验证
