| 2024 | Large Language Models Can Not Perform Well in Understanding and Manipulating Natural Language at Both Character and Word Levels? | Yidan Zhang, Zhenan He |
| 2024 | GLaPE: Gold Label-agnostic Prompt Evaluation for Large Language Models. | Xuanchang Zhang, Zhuosheng Zhang, Hai Zhao |
| 2024 | Unlocking Black-Box Prompt Tuning Efficiency via Zeroth-Order Optimization. | Heshen Zhan, Congliang Chen, Tian Ding, Ziniu Li, Ruoyu Sun |
| 2024 | Unveiling the Lexical Sensitivity of LLMs: Combinatorial Optimization for Prompt Enhancement. | Pengwei Zhan, Zhen Xu, Qian Tan, Jie Song, Ru Xie |
| 2024 | What Would Happen Next? Predicting Consequences from An Event Causality Graph. | Chuanhong Zhan, Wei Xiang, Liang Chao, Bang Wang |
| 2024 | Towards Faithful Knowledge Graph Explanation Through Deep Alignment in Commonsense Question Answering. | Weihe Zhai, Arkaitz Zubiaga, Bingquan Liu, Chengjie Sun, Yalong Zhao |
| 2024 | TEMA: Token Embeddings Mapping for Enriching Low-Resource Language Models. | Rodolfo Zevallos, Nria Bel, Mireia Farrs |
| 2024 | Edit-Constrained Decoding for Sentence Simplification. | Tatsuya Zetsu, Yuki Arase, Tomoyuki Kajiwara |
| 2024 | Automatic Instruction Evolving for Large Language Models. | Weihao Zeng, Can Xu, Yingxiu Zhao, Jian-Guang Lou, Weizhu Chen |
| 2024 | FAME: Towards Factual Multi-Task Model Editing. | Zeng Li, Yingyu Shan, Zeming Liu, Jiashu Yao, Yuhang Guo |
| 2024 | BiKT: Enabling Bidirectional Knowledge Transfer Between Pretrained Models and Sequential Downstream Tasks. | Hang Zeng, Chaoyue Niu, Fan Wu, Shaojie Tang, Leihao Pei, Chengfei Lv, Guihai Chen |
| 2024 | AdaMoE: Token-Adaptive Routing with Null Experts for Mixture-of-Experts Language Models. | Zihao Zeng, Yibo Miao, Hongcheng Gao, Hao Zhang, Zhijie Deng |
| 2024 | Multimodal Misinformation Detection by Learning from Synthetic Data with Multimodal LLMs. | Fengzhu Zeng, Wenqian Li, Wei Gao, Yan Pang |
| 2024 | Adaptive Axes: A Pipeline for In-domain Social Stereotype Analysis. | Qingcheng Zeng, Mingyu Jin, Rob Voigt |
| 2024 | Memorize Step by Step: Efficient Long-Context Prefilling with Incremental Memory and Decremental Chunk. | Zhiyuan Zeng, Qipeng Guo, Xiaoran Liu, Zhangyue Yin, Wentao Shu, Mianqiu Huang, Bo Wang, Yunhua Zhou, Linlin Li, Qun Liu, Xipeng Qiu |
| 2024 | Turn Waste into Worth: Rectifying Top-k Router of MoE. | Zhiyuan Zeng, Qipeng Guo, Zhaoye Fei, Zhangyue Yin, Yunhua Zhou, Linyang Li, Tianxiang Sun, Hang Yan, Dahua Lin, Xipeng Qiu |
| 2024 | On Diversified Preferences of Large Language Model Alignment. | Dun Zeng, Yong Dai, Pengyu Cheng, Longyue Wang, Tianhao Hu, Wanshun Chen, Nan Du, Zenglin Xu |
| 2024 | Tree of Problems: Improving structured problem solving with compositionality. | Armel Zebaze, Benot Sagot, Rachel Bawden |
| 2024 | Analyzing Context Contributions in LLM-based Machine Translation. | Emmanouil Zaranis, Nuno Miguel Guerreiro, Andr F. T. Martins |
| 2024 | Revisiting Supertagging for faster HPSG parsing. | Olga Zamaraeva, Carlos Gmez-Rodrguez |
| 2024 | Fuse to Forget: Bias Reduction and Selective Memorization through Model Fusion. | Kerem Zaman, Leshem Choshen, Shashank Srivastava |
| 2024 | TuringQ: Benchmarking AI Comprehension in Theory of Computation. | Pardis Sadat Zahraei, Ehsaneddin Asgari |
| 2024 | Multi-Loss Fusion: Angular and Contrastive Integration for Machine-Generated Text Detection. | Iqra Zahid, Yue Chang, Tharindu Madusanka, Youcheng Sun, Riza Batista-Navarro |
| 2024 | MedLogic-AQA: Enhancing Medicare Question Answering with Abstractive Models Focusing on Logical Structures. | Aizan Zafar, Kshitij Mishra, Asif Ekbal |
| 2024 | Text2Chart31: Instruction Tuning for Chart Generation with Automatic Feedback. | Fatemeh Pesaran Zadeh, Juyeon Kim, Jin-Hwa Kim, Gunhee Kim |