| KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning Y Liu, Y Wan, L He, H Peng, PS Yu AAAI 2021, 2020 | 219 | 2020 |
| Folio: Natural language reasoning with first-order logic S Han, H Schoelkopf, Y Zhao, Z Qi, M Riddell, W Zhou, J Coady, D Peng, ... EMNLP 2024, 2022 | 104 | 2022 |
| Multi-view multi-graph embedding for brain network clustering analysis Y Liu, L He, B Cao, SY Philip, AB Ragin, AD Leow AAAI 2018, 2018 | 62 | 2018 |
| SFR-Embedding-Mistral:Enhance Text Retrieval with Transfer Learning Y Liu, R Meng, SR Joty, C Xiong, Y Zhou, S Yavuz Salesforce AI Research Blog, 2024 | 60 | 2024 |
| Are pretrained transformers robust in intent classification? a missing ingredient in evaluation of out-of-scope intent detection JG Zhang, K Hashimoto, Y Wan, Y Liu, C Xiong, PS Yu NLP4ConvAI 2022, 2021 | 37 | 2021 |
| HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization Y Liu, J Zhang, Y Wan, C Xia, L He, P Yu EMNLP 2021, 2021 | 34 | 2021 |
| Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks J Gong, Y Wan, Y Liu, X Li, Y Zhao, C Wang, Q Li, W Feng, J Tang ACM Transactions on the Web, 2022 | 30 | 2022 |
| Xgen-7b technical report E Nijkamp, T Xie, H Hayashi, B Pang, C Xia, C Xing, J Vig, S Yavuz, ... arXiv preprint arXiv:2309.03450, 2023 | 27 | 2023 |
| Dense Hierarchical Retrieval for Open-domain Question Answering Y Liu, K Hashimoto, Y Zhou, S Yavuz, C Xiong, P Yu EMNLP 2021, 2021 | 27 | 2021 |
| Enriching Non-Autoregressive Transformer with Syntactic and Semantic Structures for Neural Machine Translation Y Liu, Y Wan, JG Zhang, W Zhao, PS Yu EACL 2021, 2021 | 26 | 2021 |
| Uni-Parser: Unified Semantic Parser for Question Answering on Knowledge Base and Database Y Liu, S Yavuz, R Meng, D Radev, C Xiong, Y Zhou EMNLP 2022, 2022 | 25 | 2022 |
| Generative question refinement with deep reinforcement learning in retrieval-based QA system Y Liu, C Zhang, X Yan, Y Chang, PS Yu CIKM 2019, 1643-1652, 2019 | 23 | 2019 |
| L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models A Ni, P Yin, Y Zhao, M Riddell, T Feng, R Shen, S Yin, Y Liu, S Yavuz, ... TACL 2024, 0 | 21* | |
| Long sequence modeling with xgen: A 7b llm trained on 8k input sequence length E Nijkamp, T Xie, H Hayashi, B Pang, C Xia, C Xing, J Vig, S Yavuz, ... Salesforce AI Research Blog, 2023 | 17 | 2023 |
| Dialogstudio: Towards richest and most diverse unified dataset collection for conversational ai J Zhang, K Qian, Z Liu, S Heinecke, R Meng, Y Liu, Z Yu, S Savarese, ... EACL 2024, 2023 | 16 | 2023 |
| Disentangled Code Representation Learning for Multiple Programming Languages J Zhang, H Hong, Y Zhang, Y Wan, Y Liu, Y Sui ACL 2021, 2021 | 16 | 2021 |
| Commonsense Evidence Generation and Injection in Reading Comprehension Y Liu, T Yang, Z You, W Fan, PS Yu SIGDIAL 2020, 2020 | 14 | 2020 |
| Interpretable multi-step reasoning with knowledge extraction on complex healthcare question answering Y Liu, S Chowdhury, C Zhang, C Caragea, PS Yu arXiv preprint arXiv:2008.02434, 2020 | 12 | 2020 |
| Attend, Memorize and Generate: Towards Faithful Table-to-Text Generation in Few Shots W Zhao, Y Liu, Y Wan, P Yu EMNLP 2021 Findings, 2021 | 11 | 2021 |
| Answering complex questions over text by hybrid question parsing and execution Y Liu, S Yavuz, R Meng, D Radev, C Xiong, Y Zhou EMNLP 2023 Findings, 2023 | 8 | 2023 |
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoVerified email at cs.uic.edu