| 2024 | DEMO: A Statistical Perspective for Efficient Image-Text Matching. | Fan Zhang, Xian-Sheng Hua, Chong Chen, Xiao Luo |
| 2024 | Removing RLHF Protections in GPT-4 via Fine-Tuning. | Qiusi Zhan, Richard Fang, Rohan Bindu, Akul Gupta, Tatsunori Hashimoto, Daniel Kang |
| 2024 | Coding Open-Ended Responses using Pseudo Response Generation by Large Language Models. | Yuki Zenimoto, Ryo Hasegawa, Takehito Utsuro, Masaharu Yoshioka, Noriko Kando |
| 2024 | What Matters in Training a GPT4-Style Language Model with Multimodal Inputs? | Yan Zeng, Hanbo Zhang, Jiani Zheng, Jiangnan Xia, Guoqiang Wei, Yang Wei, Yuchen Zhang, Tao Kong, Ruihua Song |
| 2024 | Open-Vocabulary Federated Learning with Multimodal Prototyping. | Huimin Zeng, Zhenrui Yue, Dong Wang |
| 2024 | DivTOD: Unleashing the Power of LLMs for Diversifying Task-Oriented Dialogue Representations. | Weihao Zeng, Dayuan Fu, Keqing He, Yejie Wang, Yukai Xu, Weiran Xu |
| 2024 | MEMORY-VQ: Compression for Tractable Internet-Scale Memory. | Yury Zemlyanskiy, Michiel de Jong, Luke Vilnis, Santiago Ontan, William W. Cohen, Sumit Sanghai, Joshua Ainslie |
| 2024 | Group Fairness in Multilingual Speech Recognition Models. | Anna Zee, Marc Zee, Anders Sgaard |
| 2024 | GLiNER: Generalist Model for Named Entity Recognition using Bidirectional Transformer. | Urchade Zaratiana, Nadi Tomeh, Pierre Holat, Thierry Charnois |
| 2024 | Teaching Language Models to Self-Improve through Interactive Demonstrations. | Xiao Yu, Baolin Peng, Michel Galley, Jianfeng Gao, Zhou Yu |
| 2024 | TelME: Teacher-leading Multimodal Fusion Network for Emotion Recognition in Conversation. | Taeyang Yun, Hyunkuk Lim, Jeonghwan Lee, Min Song |
| 2024 | Emotion-Anchored Contrastive Learning Framework for Emotion Recognition in Conversation. | Fangxu Yu, Junjie Guo, Zhen Wu, Xinyu Dai |
| 2024 | OVM, Outcome-supervised Value Models for Planning in Mathematical Reasoning. | Fei Yu, Anningzhe Gao, Benyou Wang |
| 2024 | Evidence-Driven Retrieval Augmented Response Generation for Online Misinformation. | Zhenrui Yue, Huimin Zeng, Yimeng Lu, Lanyu Shang, Yang Zhang, Dong Wang |
| 2024 | ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks. | Xiaodong Yu, Hao Cheng, Xiaodong Liu, Dan Roth, Jianfeng Gao |
| 2024 | Don't be a Fool: Pooling Strategies in Offensive Language Detection from User-Intended Adversarial Attacks. | Seunguk Yu, Juhwan Choi, YoungBin Kim |
| 2024 | Query-Efficient Textual Adversarial Example Generation for Black-Box Attacks. | Zhen Yu, Zhenhua Chen, Kun He |
| 2024 | Text Diffusion Model with Encoder-Decoder Transformers for Sequence-to-Sequence Generation. | Hongyi Yuan, Zheng Yuan, Chuanqi Tan, Fei Huang, Songfang Huang |
| 2024 | Measuring Social Norms of Large Language Models. | Ye Yuan, Kexin Tang, Jianhao Shen, Ming Zhang, Chenguang Wang |
| 2024 | A Continued Pretrained LLM Approach for Automatic Medical Note Generation. | Dong Yuan, Eti Rastogi, Gautam Naik, Sree Prasanna Rajagopal, Sagar Goyal, Fen Zhao, Bharath Chintagunta, Jeff Ward |
| 2024 | GraSAME: Injecting Token-Level Structural Information to Pretrained Language Models via Graph-guided Self-Attention Mechanism. | Shuzhou Yuan, Michael Frber |
| 2024 | MuMath: Multi-perspective Data Augmentation for Mathematical Reasoning in Large Language Models. | Weihao You, Shuo Yin, Xudong Zhao, Zhilong Ji, Guoqiang Zhong, Jinfeng Bai |
| 2024 | Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation. | Se-eun Yoon, Zhankui He, Jessica Maria Echterhoff, Julian J. McAuley |
| 2024 | Advancing Beyond Identification: Multi-bit Watermark for Large Language Models. | KiYoon Yoo, Wonhyuk Ahn, Nojun Kwak |
| 2024 | Source-Free Unsupervised Domain Adaptation for Question Answering via Prompt-Assisted Self-learning. | Maxwell Yin, Boyu Wang, Charles Ling |