| 2024 | ATAP: Automatic Template-Augmented Commonsense Knowledge Graph Completion via Pre-Trained Language Models. | Fu Zhang, Yifan Ding, Jingwei Cheng |
| 2024 | Jellyfish: Instruction-Tuning Local Large Language Models for Data Preprocessing. | Haochen Zhang, Yuyang Dong, Chuan Xiao, Masafumi Oyamada |
| 2024 | Wrong-of-Thought: An Integrated Reasoning Framework with Multi-Perspective Verification and Wrong Information. | Yongheng Zhang, Qiguang Chen, Jingxuan Zhou, Peng Wang, Jiasheng Si, Jin Wang, Wenpeng Lu, Libo Qin |
| 2024 | ToolBeHonest: A Multi-level Hallucination Diagnostic Benchmark for Tool-Augmented Large Language Models. | Yuxiang Zhang, Jing Chen, Junjie Wang, Yaxin Liu, Cheng Yang, Chufan Shi, Xinyu Zhu, Zihao Lin, Hanwen Wan, Yujiu Yang, Tetsuya Sakai, Tian Feng, Hayato Yamana |
| 2024 | Message Passing on Semantic-Anchor-Graphs for Fine-grained Emotion Representation Learning and Classification. | Pinyi Zhang, Jingyang Chen, Junchen Shen, Zijie Zhai, Ping Li, Jie Zhang, Kai Zhang |
| 2024 | SciER: An Entity and Relation Extraction Dataset for Datasets, Methods, and Tasks in Scientific Documents. | Qi Zhang, Zhijia Chen, Huitong Pan, Cornelia Caragea, Longin Jan Latecki, Eduard C. Dragut |
| 2024 | An Instruction Tuning-Based Contrastive Learning Framework for Aspect Sentiment Quad Prediction with Implicit Aspects and Opinions. | Hao Zhang, Yu-N Cheah, Congqing He, Feifan Yi |
| 2024 | Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Model. | Wenqi Zhang, Zhenglin Cheng, Yuanyu He, Mengna Wang, Yongliang Shen, Zeqi Tan, Guiyang Hou, Mingqian He, Yanna Ma, Weiming Lu, Yueting Zhuang |
| 2024 | KB-Plugin: A Plug-and-play Framework for Large Language Models to Induce Programs over Low-resourced Knowledge Bases. | Jiajie Zhang, Shulin Cao, Linmei Hu, Ling Feng, Lei Hou, Juanzi Li |
| 2024 | Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models. | Jiaxin Zhang, Wendi Cui, Yiran Huang, Kamalika Das, Kumar Sricharan |
| 2024 | Beyond the Turn-Based Game: Enabling Real-Time Conversations with Duplex Models. | Xinrong Zhang, Yingfa Chen, Shengding Hu, Xu Han, Zihang Xu, Yuanwei Xu, Weilin Zhao, Maosong Sun, Zhiyuan Liu |
| 2024 | CHAmbi: A New Benchmark on Chinese Ambiguity Challenges for Large Language Models. | Qin Zhang, Sihan Cai, Jiaxu Zhao, Mykola Pechenizkiy, Meng Fang |
| 2024 | Narrative-of-Thought: Improving Temporal Reasoning of Large Language Models via Recounted Narratives. | Xinliang Frederick Zhang, Nicholas Beauchamp, Lu Wang |
| 2024 | Order of Magnitude Speedups for LLM Membership Inference. | Rongting Zhang, Martin Bertran Lopez, Aaron Roth |
| 2024 | Guided Profile Generation Improves Personalization with Large Language Models. | Jiarui Zhang |
| 2024 | BoolQuestions: Does Dense Retrieval Understand Boolean Logic in Language? | Zongmeng Zhang, Jinhua Zhu, Wengang Zhou, Xiang Qi, Peng Zhang, Houqiang Li |
| 2024 | Ask-before-Plan: Proactive Language Agents for Real-World Planning. | Xuan Zhang, Yang Deng, Zifeng Ren, See-Kiong Ng, Tat-Seng Chua |
| 2024 | CodeFort: Robust Training for Code Generation Models. | Yuhao Zhang, Shiqi Wang, Haifeng Qian, Zijian Wang, Mingyue Shang, Linbo Liu, Sanjay Krishna Gouda, Baishakhi Ray, Murali Krishna Ramanathan, Xiaofei Ma, Anoop Deoras |
| 2024 | Adaptive Query Rewriting: Aligning Rewriters through Marginal Probability of Conversational Answers. | Tianhua Zhang, Kun Li, Hongyin Luo, Xixin Wu, James R. Glass, Helen Meng |
| 2024 | Code Membership Inference for Detecting Unauthorized Data Use in Code Pre-trained Language Models. | Sheng Zhang, Hui Li, Rongrong Ji |
| 2024 | Modeling Historical Relevant and Local Frequency Context for Representation-Based Temporal Knowledge Graph Forecasting. | Shengzhe Zhang, Wei Wei, Rikui Huang, Wenfeng Xie, Dangyang Chen |
| 2024 | Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method. | Weichao Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2024 | Can LLM Graph Reasoning Generalize beyond Pattern Memorization? | Yizhuo Zhang, Heng Wang, Shangbin Feng, Zhaoxuan Tan, Xiaochuang Han, Tianxing He, Yulia Tsvetkov |
| 2024 | Dynamic Planning for LLM-based Graphical User Interface Automation. | Shaoqing Zhang, Zhuosheng Zhang, Kehai Chen, Xinbei Ma, Muyun Yang, Tiejun Zhao, Min Zhang |
| 2024 | LUQ: Long-text Uncertainty Quantification for LLMs. | Caiqi Zhang, Fangyu Liu, Marco Basaldella, Nigel Collier |