| Table Search Using a Deep Contextualized Language Model Z Chen, M Trabelsi, J Heflin, Y Xu, BD Davison Proceedings of 43rd International ACM SIGIR Conference on Research and …, 2020 | 75 | 2020 |
| Pretrained Generalized Autoregressive Model with Adaptive Probabilistic Label Clusters for Extreme Multi-label Text Classification H Ye, Z Chen, DH Wang, BD Davison Proceedings of 37th International Conference on Machine Learning (ICML 2020), 2020 | 58 | 2020 |
| SemEval-2023 Task 2: Fine-grained Multilingual Named Entity Recognition (MultiCoNER 2) B Fetahu, S Kar, Z Chen, O Rokhlenko, S Malmasi Proceedings of the 17th international workshop on semantic evaluation …, 2023 | 48 | 2023 |
| StruBERT: Structure-aware BERT for Table Search and Matching M Trabelsi, Z Chen, S Zhang, BD Davison, J Heflin Proceedings of the Web Conference (WWW 2022), 2022 | 44 | 2022 |
| Neural Ranking Models for Document Retrieval M Trabelsi, Z Chen, BD Davison, J Heflin Information Retrieval Journal, 2021 | 40 | 2021 |
| Multi-Coner v2: a Large Multilingual dataset for Finegrained and Noisy Named Entity Recognition B Fetahu, Z Chen, S Kar, O Rokhlenko, S Malmasi Findings of EMNLP 2023, 2023 | 37 | 2023 |
| Leveraging Schema Labels to Enhance Dataset Search Z Chen, H Jia, J Heflin, BD Davison European Conference on Information Retrieval, 267-280, 2020 | 34 | 2020 |
| Generating Schema Labels through Dataset Content Analysis Z Chen, H Jia, J Heflin, BD Davison Companion Proceedings of the The Web Conference 2018, 1515-1522, 2018 | 31 | 2018 |
| Reinforced Question Rewriting for Conversational Question Answering Z Chen, J Zhao, A Fang, B Fetahu, O Rokhlenko, S Malmasi EMNLP 2022, 2022 | 24 | 2022 |
| Model-based unbiased learning to rank D Luo, L Zou, Q Ai, Z Chen, D Yin, BD Davison Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 18 | 2023 |
| WTR: A Test Collection for Web Table Retrieval Z Chen, S Zhang, BD Davison Proceedings of 44th International ACM SIGIR Conference on Research and …, 2021 | 16 | 2021 |
| Recognizing Quantity Names for Tabular Data Y Yi, Z Chen, J Heflin, BD Davison International Workshop on Data Search (DATA:SEARCH'18), 68-73, 2018 | 13 | 2018 |
| InstructPTS: Instruction-Tuning LLMs for Product Title Summarization B Fetahu, Z Chen, O Rokhlenko, S Malmasi EMNLP 2023, 2023 | 9 | 2023 |
| A Hybrid Deep Model for Learning to Rank Data Tables M Trabelsi, Z Chen, BD Davison, J Heflin 2020 IEEE International Conference on Big Data (Big Data), 2020 | 9 | 2020 |
| Relational Graph Embeddings for Table Retrieval M Trabelsi, Z Chen, BD Davison, J Heflin Seventh International Workshop on High Performance Big Graph Data …, 2020 | 8 | 2020 |
| MGNETS: Multi-Graph Neural Networks for Table Search Z Chen, M Trabelsi, J Heflin, D Yin, BD Davison Proceedings of the 30th ACM International Conference on Information and …, 2021 | 7 | 2021 |
| Generate-then-Retrieve: Intent-Aware FAQ Retrieval in Product Search Z Chen, J Choi, B Fetahu, O Rokhlenko, S Malmasi ACL 2023, 2023 | 5 | 2023 |
| Answering Unanswered Questions through Semantic Reformulations in Spoken QA P Faustini, Z Chen, B Fetahu, O Rokhlenko, S Malmasi ACL 2023, 2023 | 5 | 2023 |
| Unbiased learning-to-rank needs unconfounded propensity estimation D Luo, L Zou, Q Ai, Z Chen, C Li, D Yin, BD Davison Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 4 | 2024 |
| Generative Explore-Exploit: Training-free Optimization of Generative Recommender Systems using LLM Optimizers LK Senel, B Fetahu, D Yoshida, Z Chen, G Castellucci, N Vedula, J Choi, ... ACL 2024, 2024 | 3 | 2024 |
Brian D. DavisonProfessor and Chair, Dept. of Computer Science and Engineering, Lehigh UniversityVerified email at cse.lehigh.edu
