| 2024 | Exploring the Best Practices of Query Expansion with Large Language Models. | Le Zhang, Yihong Wu, Qian Yang, Jian-Yun Nie |
| 2024 | Nash CoT: Multi-Path Inference with Preference Equilibrium. | Ziqi Zhang, Cunxiang Wang, Xiao Xiong, Yue Zhang, Donglin Wang |
| 2024 | From Text Segmentation to Enhanced Representation Learning: A Novel Approach to Multi-Label Classification for Long Texts. | Wang Zhang, Xin Wang, Qian Wang, Tao Deng, Xiaoru Wu |
| 2024 | Android in the Zoo: Chain-of-Action-Thought for GUI Agents. | Jiwen Zhang, Jihao Wu, Yihua Teng, Minghui Liao, Nuo Xu, Xiao Xiao, Zhongyu Wei, Duyu Tang |
| 2024 | MAR: Matching-Augmented Reasoning for Enhancing Visual-based Entity Question Answering. | Zhengxuan Zhang, Yin Wu, Yuyu Luo, Nan Tang |
| 2024 | Modeling Layout Reading Order as Ordering Relations for Visually-rich Document Understanding. | Chong Zhang, Yi Tu, Yixi Zhao, Chenshu Yuan, Huan Chen, Yue Zhang, Mingxu Chai, Ya Guo, Huijia Zhu, Qi Zhang, Tao Gui |
| 2024 | Unleashing the Power of Emojis in Texts via Self-supervised Graph Pre-Training. | Zhou Zhang, Dongzeng Tan, Jiaan Wang, Yilong Chen, Jiarong Xu |
| 2024 | An LLM-Enabled Knowledge Elicitation and Retrieval Framework for Zero-Shot Cross-Lingual Stance Identification. | Ruike Zhang, Yuan Tian, Penghui Wei, Daniel Zeng, Wenji Mao |
| 2024 | HoneyComb: A Flexible LLM-Based Agent System for Materials Science. | Huan Zhang, Yu Song, Ziyu Hou, Santiago Miret, Bang Liu |
| 2024 | Document Hashing with Multi-Grained Prototype-Induced Hierarchical Generative Model. | Qian Zhang, Qinliang Su, Jiayang Chen, Zhenpeng Song |
| 2024 | Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Construction. | Bowen Zhang, Harold Soh |
| 2024 | RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation. | Xuanwang Zhang, Yunze Song, Yidong Wang, Shuyun Tang, Xinfeng Li, Zhengran Zeng, Zhen Wu, Wei Ye, Wenyuan Xu, Yue Zhang, Xinyu Dai, Shikun Zhang, Qingsong Wen |
| 2024 | Consistent Autoformalization for Constructing Mathematical Libraries. | Lan Zhang, Xin Quan, Andr Freitas |
| 2024 | Extractive Medical Entity Disambiguation with Memory Mechanism and Memorized Entity Information. | Guobiao Zhang, Xueping Peng, Tao Shen, Guodong Long, Jiasheng Si, Libo Qin, Wenpeng Lu |
| 2024 | OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs. | Jintian Zhang, Cheng Peng, Mengshu Sun, Xiang Chen, Lei Liang, Zhiqiang Zhang, Jun Zhou, Huajun Chen, Ningyu Zhang |
| 2024 | Improving Diversity of Commonsense Generation by Large Language Models via In-Context Learning. | Tianhui Zhang, Bei Peng, Danushka Bollegala |
| 2024 | A new approach for fine-tuning sentence transformers for intent classification and out-of-scope detection tasks. | Tianyi Zhang, Atta Norouzian, Aanchan Mohan, Frederick Ducatelle |
| 2024 | Is GPT-4V (ision) All You Need for Automating Academic Data Visualization? Exploring Vision-Language Models' Capability in Reproducing Academic Charts. | Zhehao Zhang, Weicheng Ma, Soroush Vosoughi |
| 2024 | Extracting Prompts by Inverting LLM Outputs. | Collin Zhang, John X. Morris, Vitaly Shmatikov |
| 2024 | Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation. | Yuhui Zhang, Brandon McKinzie, Zhe Gan, Vaishaal Shankar, Alexander Toshev |
| 2024 | Intermediate Layer Distillation with the Reused Teacher Classifier: A Study on the Importance of the Classifier of Attention-based Models. | Hang Zhang, Seyyed Hasan Mozafari, James J. Clark, Brett H. Meyer, Warren J. Gross |
| 2024 | Can We Instruct LLMs to Compensate for Position Bias? | Meiru Zhang, Zaiqiao Meng, Nigel Collier |
| 2024 | SynTQA: Synergistic Table-based Question Answering via Mixture of Text-to-SQL and E2E TQA. | Siyue Zhang, Anh Tuan Luu, Chen Zhao |
| 2024 | When LLMs Meets Acoustic Landmarks: An Efficient Approach to Integrate Speech into Large Language Models for Depression Detection. | Xiangyu Zhang, Hexin Liu, Kaishuai Xu, Qiquan Zhang, Daijiao Liu, Beena Ahmed, Julien Epps |
| 2024 | Cross-domain NER with Generated Task-Oriented Knowledge: An Empirical Study from Information Density Perspective. | Zhihao Zhang, Sophia Yat Mei Lee, Junshuang Wu, Dong Zhang, Shoushan Li, Erik Cambria, Guodong Zhou |