| 2024 | Causal Inference for Human-Language Model Collaboration. | Bohan Zhang, Yixin Wang, Paramveer Dhillon |
| 2024 | MOKA: Moral Knowledge Augmentation for Moral Event Extraction. | Xinliang Frederick Zhang, Winston Wu, Nicholas Beauchamp, Lu Wang |
| 2024 | Graph-Induced Syntactic-Semantic Spaces in Transformer-Based Variational AutoEncoders. | Yingji Zhang, Marco Valentino, Danilo S. Carvalho, Ian Pratt-Hartmann, Andr Freitas |
| 2024 | A Lightweight Mixture-of-Experts Neural Machine Translation Model with Stage-wise Training Strategy. | Fan Zhang, Mei Tu, Song Liu, Jinyao Yan |
| 2024 | Structured Pruning for Large Language Models Using Coupled Components Elimination and Minor Fine-tuning. | Honghe Zhang, Xiaolong Shi, Jingwei Sun, Guangzhong Sun |
| 2024 | Towards Better Generalization in Open-Domain Question Answering by Mitigating Context Memorization. | Zixuan Zhang, Revanth Gangi Reddy, Kevin Small, Tong Zhang, Heng Ji |
| 2024 | AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning. | Ruiyi Zhang, Rushi Qiang, Sai Ashish Somayajula, Pengtao Xie |
| 2024 | GOLD: Geometry Problem Solver with Natural Language Description. | Jiaxin Zhang, Yashar Moshfeghi |
| 2024 | LLM-Driven Knowledge Injection Advances Zero-Shot and Cross-Target Stance Detection. | Zhao Zhang, Yiming Li, Jin Zhang, Hui Xu |
| 2024 | Pruning as a Domain-specific LLM Extractor. | Nan Zhang, Yanchi Liu, Xujiang Zhao, Wei Cheng, Runxue Bao, Rui Zhang, Prasenjit Mitra, Haifeng Chen |
| 2024 | CELI: Simple yet Effective Approach to Enhance Out-of-Domain Generalization of Cross-Encoders. | Xinyu Zhang, Minghan Li, Jimmy Lin |
| 2024 | Think Before You Act: A Two-Stage Framework for Mitigating Gender Bias Towards Vision-Language Tasks. | Yunqi Zhang, Songda Li, Chunyuan Deng, Luyi Wang, Hui Zhao |
| 2024 | Improving Toponym Resolution by Predicting Attributes to Constrain Geographical Ontology Entries. | Zeyu Zhang, Egoitz Laparra, Steven Bethard |
| 2024 | AdaRefiner: Refining Decisions of Language Models with Adaptive Feedback. | Wanpeng Zhang, Zongqing Lu |
| 2024 | LLM-based Medical Assistant Personalization with Short- and Long-Term Memory Coordination. | Kai Zhang, Yangyang Kang, Fubang Zhao, Xiaozhong Liu |
| 2024 | LatticeGen: Hiding Generated Text in a Lattice for Privacy-Aware Large Language Model Generation on Cloud. | Mengke Zhang, Tianxing He, Tianle Wang, Lu Mi, Niloofar Mireshghallah, Binyi Chen, Hao Wang, Yulia Tsvetkov |
| 2024 | Natural Language Embedded Programs for Hybrid Language Symbolic Reasoning. | Tianhua Zhang, Jiaxin Ge, Hongyin Luo, Yung-Sung Chuang, Mingye Gao, Yuan Gong, Yoon Kim, Xixin Wu, Helen Meng, Jim Glass |
| 2024 | LLM-as-a-Coauthor: Can Mixed Human-Written and Machine-Generated Text Be Detected? | Qihui Zhang, Chujie Gao, Dongping Chen, Yue Huang, Yixin Huang, Zhenyang Sun, Shilin Zhang, Weiye Li, Zhengyan Fu, Yao Wan, Lichao Sun |
| 2024 | Navigation as Attackers Wish? Towards Building Robust Embodied Agents under Federated Learning. | Yunchao Zhang, Zonglin Di, Kaiwen Zhou, Cihang Xie, Xin Wang |
| 2024 | Sentiment Analysis in the Era of Large Language Models: A Reality Check. | Wenxuan Zhang, Yue Deng, Bing Liu, Sinno Jialin Pan, Lidong Bing |
| 2024 | R-Tuning: Instructing Large Language Models to Say 'I Don't Know'. | Hanning Zhang, Shizhe Diao, Yong Lin, Yi R. Fung, Qing Lian, Xingyao Wang, Yangyi Chen, Heng Ji, Tong Zhang |
| 2024 | CoE-SQL: In-Context Learning for Multi-Turn Text-to-SQL with Chain-of-Editions. | Hanchong Zhang, Ruisheng Cao, Hongshen Xu, Lu Chen, Kai Yu |
| 2024 | Reverse Chain: A Generic-Rule for LLMs to Master Multi-API Planning. | Yinger Zhang, Hui Cai, Xierui Song, Yicheng Chen, Rui Sun, Jing Zheng |
| 2024 | Distilling Text Style Transfer With Self-Explanation From LLMs. | Chiyu Zhang, Honglong Cai, Yuezhang Li, Yuexin Wu, Le Hou, Muhammad Abdul-Mageed |
| 2024 | E⁵: Zero-shot Hierarchical Table Analysis using Augmented LLMs via Explain, Extract, Execute, Exhibit and Extrapolate. | Zhehao Zhang, Yan Gao, Jian-Guang Lou |