ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model Meta-AI (LLaMA) Using Medical Domain Knowledge Y Li, Z Li, K Zhang, R Dan, S Jiang, Y Zhang Cureus 15 (6), 2023 | 297* | 2023 |
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI X Yue, Y Ni, K Zhang, T Zheng, R Liu, G Zhang, S Stevens, D Jiang, ... CVPR 2024 (Best Paper Finalist), 2024 | 134 | 2024 |
RpBERT: A Text-Image Relation Propagation-based BERT Model for Multimodal NER L Sun, J Wang, K Zhang, Y Su, F Weng AAAI 2021, 2021 | 107 | 2021 |
MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing K Zhang, L Mo, W Chen, H Sun, Y Su NeurIPS 2023, 2023 | 71 | 2023 |
Automatic Evaluation of Attribution by Large Language Models X Yue, B Wang, Z Chen, K Zhang, Y Su, H Sun Findings of EMNLP 2023, 2023 | 61 | 2023 |
Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts J Xie, K Zhang, J Chen, R Lou, Y Su ICLR 2024 (Spotlight), 2023 | 57* | 2023 |
Large Language Model Instruction Following: A Survey of Progresses and Challenges R Lou, K Zhang, W Yin Computational Linguistics, 2024 | 39* | 2024 |
Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors K Zhang, BJ Gutiérrez, Y Su Findings of ACL 2023, 2023 | 34 | 2023 |
Open Hierarchical Relation Extraction K Zhang, Y Yao, R Xie, X Han, Z Liu, F Lin, L Lin, M Sun NAACL 2019, 2021 | 30 | 2021 |
PathAsst: Redefining pathology through generative foundation ai assistant for pathology Y Sun, C Zhu, S Zheng, K Zhang, Z Shui, X Yu, Y Zhao, H Li, Y Zhang, ... AAAI 2024 (Oral), 2023 | 27* | 2023 |
TravelPlanner: A Benchmark for Real-world Planning with Language Agents J Xie, K Zhang, J Chen, T Zhu, R Lou, Y Tian, Y Xiao, Y Su ICML 2024 (Spotlight), 2024 | 20 | 2024 |
LED: Lexicon-Enlightened Dense Retriever for Large-Scale Retrieval K Zhang, C Tao, T Shen, C Xu, X Geng, B Jiao, D Jiang WWW 2023 (Oral), 2022 | 20 | 2022 |
UnifieR: A Unified Retriever for Large-Scale Retrieval T Shen, X Geng, C Tao, C Xu, K Zhang, D Jiang KDD 2023, 2022 | 19 | 2022 |
ImagenHub: Standardizing the Evaluation of Conditional Image Generation Models M Ku, T Li, K Zhang, Y Lu, X Fu, W Zhuang, W Chen ICLR 2024, 2023 | 16 | 2023 |
Contributions of Transformer Attention Heads in Multi- and Cross-lingual Tasks W Ma, K Zhang, R Lou, L Wang, S Vosoughi ACL 2021 (Oral), 2021 | 12 | 2021 |
GradTS: A Gradient-Based Automatic Auxiliary Task Selection Method Based on Transformer Networks W Ma, R Lou, K Zhang, L Wang, S Vosoughi EMNLP 2021, 2021 | 8 | 2021 |
MORE: A Metric Learning Based Framework for Open-Domain Relation Extraction Y Wang, R Lou, K Zhang, MY Chen, Y Yang ICASSP 2021, 2021 | 7 | 2021 |
Adversarial Language Games for Advanced Natural Language Intelligence Y Yao, H Zhong, Z Zhang, X Han, X Wang, K Zhang, C Xiao, G Zeng, Z Liu, ... AAAI 2021, 2021 | 6 | 2021 |
TOI-CNN: A Solution of Information Extraction on Chinese Insurance Policy L Sun, K Zhang, F Ji, Z Yang NAACL 2019, 2019 | 6 | 2019 |
How Easily do Irrelevant Inputs Skew the Responses of Large Language Models? S Wu, J Xie, J Chen, T Zhu, K Zhang, Y Xiao arXiv preprint arXiv:2404.03302, 2024 | 5 | 2024 |