A comparative study on transformer vs rnn in speech applications S Karita, N Chen, T Hayashi, T Hori, H Inaguma, Z Jiang, M Someki, ... ASRU'2019, 2019 | 904 | 2019 |
Mmlu-pro: A more robust and challenging multi-task language understanding benchmark Y Wang, X Ma, G Zhang, Y Ni, A Chandra, S Guo, W Ren, A Arulraj, X He, ... NeurIPS'2024 (D&B Track), 2024 | 133* | 2024 |
Palr: Personalization aware llms for recommendation F Yang*, Z Chen*, Z Jiang*, E Cho, X Huang, Y Lu Gen-IR@SIGIR'2023, 2023 | 111 | 2023 |
Recmind: Large language model powered agent for recommendation Y Wang, Z Jiang, Z Chen, F Yang, Y Zhou, E Cho, X Fan, X Huang, Y Lu, ... NAACL'2024 (Findings), 2023 | 100 | 2023 |
Black-box Attacks on Spoofing Countermeasures Using Transferability of Adversarial Examples Y Zhang, Z Jiang, J Villalba, N Dehak Interspeech'2020, 2020 | 52 | 2020 |
Longrag: Enhancing retrieval-augmented generation with long-context llms Z Jiang, X Ma, W Chen arXiv preprint arXiv:2406.15319, 2024 | 29 | 2024 |
VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation X He, D Jiang, G Zhang, M Ku, A Soni, S Siu, H Chen, A Chandra, Z Jiang, ... EMNLP'2024, 2024 | 23 | 2024 |
Personalized search-based query rewrite system for conversational ai E Cho, Z Jiang, J Hao, Z Chen, S Gupta, X Fan, C Guo NLP4ConvAI@EMNLP'2021, 2021 | 19 | 2021 |
# HowYouTagTweets: Learning User Hashtagging Preferences via Personalized Topic Attention Y Zhang, Y Zhang, C Xu, J Li, Z Jiang, B Peng EMNLP'2021, 2021 | 12 | 2021 |
Graph Meets LLM: A Novel Approach to Collaborative Filtering for Robust Conversational Understanding Z Chen*, Z Jiang*, F Yang*, E Cho, X Fan, X Huang, Y Lu, A Galstyan EMNLP'2023 (Industry Track), 2023 | 8 | 2023 |
KG-ECO: Knowledge graph enhanced entity correction for query rewriting J Cai, M Li, Z Jiang, E Cho, Z Chen, Y Liu, X Fan, C Guo ICASSP'2023, 2023 | 6 | 2023 |
PENTATRON: PErsonalized coNText-Aware Transformer for Retrieval-based cOnversational uNderstanding NU Naresh*, Z Jiang*, Ankit*, S Lee, J Hao, X Fan, C Guo EMNLP'2022 (Industry Track), 2022 | 6 | 2022 |
Position-Aware Parameter Efficient Fine-Tuning Approach for Reducing Positional Bias in LLMs Z Zhang, F Yang, Z Jiang, Z Chen, Z Zhao, C Ma, L Zhao, Y Liu arXiv preprint arXiv:2404.01430, 2024 | 5 | 2024 |
The first workshop on personalized generative ai@ cikm 2023: Personalization meets large language models Z Chen, Z Jiang, F Yang, Z He, Y Hou, E Cho, J McAuley, A Galstyan, ... CIKM'2023 (Workshop Proposals), 2023 | 5 | 2023 |
Mega-bench: Scaling multimodal evaluation to over 500 real-world tasks J Chen, T Liang, S Siu, Z Wang, K Wang, Y Wang, Y Ni, W Zhu, Z Jiang, ... ICLR'2025, 2024 | 3 | 2024 |
Vlm2vec: Training vision-language models for massive multimodal embedding tasks Z Jiang, R Meng, X Yang, S Yavuz, Y Zhou, W Chen ICLR'2025, 2024 | 3 | 2024 |
Multi-Task Knowledge Enhancement for Zero-Shot and Multi-Domain Recommendation in an AI Assistant Application E Markowitz, Z Jiang, F Yang, X Fan, T Chen, GV Steeg, A Galstyan ICASSP'2025, 2023 | 2 | 2023 |
Semi-Supervised Reward Modeling via Iterative Self-Training Y He, H Wang, Z Jiang, A Papangelis, H Zhao EMNLP'2024 (Findings), 2024 | 1 | 2024 |
Gen-IR@ SIGIR 2024: The Second Workshop on Generative Information Retrieval G Bénédict, R Zhang, D Metzler, A Yates, Z Jiang SIGIR'2024 (Workshop Proposals), 2024 | 1 | 2024 |