| Multi-turn response selection using dialogue dependency relations Q Jia, Y Liu, S Ren, KQ Zhu, H Tang EMNLP 2020, 2020 | 34 | 2020 |
| Knowledge-driven distractor generation for cloze-style multiple choice questions S Ren, KQ Zhu Proceedings of the AAAI conference on artificial intelligence 35 (5), 4339-4347, 2021 | 28 | 2021 |
| Taxonomy of Abstractive Dialogue Summarization: Scenarios, Approaches, and Future Directions Q Jia, Y Liu, S Ren, KQ Zhu ACM Computing Surveys 56 (3), 1-38, 2023 | 5 | 2023 |
| Symbol-llm: Towards foundational symbol-centric interface for large language models F Xu, Z Wu, Q Sun, S Ren, F Yuan, S Yuan, Q Lin, Y Qiao, J Liu arXiv preprint arXiv:2311.09278, 2023 | 4 | 2023 |
| Leaner and Faster: Two-Stage Model Compression for Lightweight Text-Image Retrieval S Ren, KQ Zhu NAACL 2022, 2022 | 4 | 2022 |
| Zero-shot faithfulness evaluation for text summarization with foundation language model Q Jia, S Ren, Y Liu, KQ Zhu arXiv preprint arXiv:2310.11648, 2023 | 3 | 2023 |
| Context compression for auto-regressive transformers with sentinel tokens S Ren, Q Jia, KQ Zhu arXiv preprint arXiv:2310.08152, 2023 | 3 | 2023 |
| Low-rank prune-and-factorize for language model compression S Ren, KQ Zhu arXiv preprint arXiv:2306.14152, 2023 | 1 | 2023 |
| Pruning Pre-trained Language Models with Principled Importance and Self-regularization S Ren, KQ Zhu arXiv preprint arXiv:2305.12394, 2023 | 1 | 2023 |
| On the Efficacy of Eviction Policy for Key-Value Constrained Generative Language Model Inference S Ren, KQ Zhu arXiv preprint arXiv:2402.06262, 2024 | | 2024 |
| EMO: Earth Mover Distance Optimization for Auto-Regressive Language Modeling S Ren, Z Wu, KQ Zhu arXiv preprint arXiv:2310.04691, 2023 | | 2023 |
| Context Compression for Auto-regressive Transformers with Sentinel Tokens SR , Qi Jia, Kenny Q. Zhu EMNLP 2023, 2023 | | 2023 |
| Combating Short Circuit Behavior in Natural Language Reasoning: Crossover and Mutation Operations for Enhanced Robustness S Huanga, S Renb, KQ Zhuc | | 2023 |
| Specializing Pre-trained Language Models for Better Relational Reasoning via Network Pruning S Ren, K Zhu Findings of the Association for Computational Linguistics: NAACL 2022, 2195-2207, 2022 | | 2022 |
Kenny Q. ZhuProfessor of Computer Science, University of Texas at ArlingtonPotvrđena adresa e-pošte na uta.edu
