| 2024 | LSTDial: Enhancing Dialogue Generation via Long- and Short-Term Measurement Feedback. | Guanghui Ye, Huan Zhao, Zixing Zhang, Xupeng Zha, Zhihua Jiang |
| 2024 | Tram: A Token-level Retrieval-augmented Mechanism for Source Code Summarization. | Tong Ye, Lingfei Wu, Tengfei Ma, Xuhong Zhang, Yangkai Du, Peiyu Liu, Shouling Ji, Wenhai Wang |
| 2024 | How Interpretable are Reasoning Explanations from Prompting Large Language Models? | Wei Jie Yeo, Ranjan Satapathy, Rich Siow Mong Goh, Erik Cambria |
| 2024 | FastFit: Fast and Effective Few-Shot Text Classification with a Multitude of Classes. | Asaf Yehudai, Elron Bandel |
| 2024 | Cross-Task Generalization Abilities of Large Language Models. | Qinyuan Ye |
| 2024 | Effective Large Language Model Adaptation for Improved Grounding and Citation Generation. | Xi Ye, Ruoxi Sun, Sercan . Arik, Tomas Pfister |
| 2024 | Towards Translating Objective Product Attributes Into Customer Language. | Ram Yazdi, Oren Kalinsky, Alexander Libov, Dafna Shahaf |
| 2024 | Value FULCRA: Mapping Large Language Models to the Multidimensional Spectrum of Basic Human Value. | Jing Yao, Xiaoyuan Yi, Yifan Gong, Xiting Wang, Xing Xie |
| 2024 | GoT: Effective Graph-of-Thought Reasoning in Language Models. | Yao Yao, Zuchao Li, Hai Zhao |
| 2024 | Simple and effective data augmentation for compositional generalization. | Yuekun Yao, Alexander Koller |
| 2024 | More Samples or More Prompts? Exploring Effective Few-Shot In-Context Learning for LLMs with In-Context Sampling. | Bingsheng Yao, Guiming Chen, Ruishi Zou, Yuxuan Lu, Jiachen Li, Shao Zhang, Yisi Sang, Sijia Liu, James A. Hendler, Dakuo Wang |
| 2024 | Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection. | Jun Yan, Vikas Yadav, Shiyang Li, Lichang Chen, Zheng Tang, Hai Wang, Vijay Srinivasan, Xiang Ren, Hongxia Jin |
| 2024 | Visual Enhanced Entity-Level Interaction Network for Multimodal Summarization. | Haolong Yan, Binghao Tang, Boda Lin, Gang Zhao, Si Li |
| 2024 | Quantum-inspired Language Model with Lindblad Master Equation and Interference Measurement for Sentiment Analysis. | Kehuan Yan, Peichao Lai, Yilei Wang |
| 2024 | Unveiling the Generalization Power of Fine-Tuned Large Language Models. | Haoran Yang, Yumeng Zhang, Jiaqi Xu, Hongyuan Lu, Pheng-Ann Heng, Wai Lam |
| 2024 | LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models. | Yifan Yang, Jiajun Zhou, Ngai Wong, Zheng Zhang |
| 2024 | Plug-in Language Model: Controlling Text Generation with a Simple Regression Model. | Nai-Chi Yang, Wei-Yun Ma, Pu-Jen Cheng |
| 2024 | Exploring Compositional Generalization of Large Language Models. | Haoran Yang, Hongyuan Lu, Wai Lam, Deng Cai |
| 2024 | Rephrasing Invokes Better Generations for Large Language Models. | Haoran Yang, Hongyuan Lu, Wai Lam |
| 2024 | i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data. | Ziyi Yang, Mahmoud Khademi, Yichong Xu, Reid Pryzant, Yuwei Fang, Chenguang Zhu, Dongdong Chen, Yao Qian, Xuemei Gao, Yi-Ling Chen, Robert Gmyr, Naoyuki Kanda, Noel Codella, Bin Xiao, Yu Shi, Lu Yuan, Takuya Yoshioka, Michael Zeng, Xuedong Huang |
| 2024 | Modeling Empathetic Alignment in Conversation. | Jiamin Yang, David Jurgens |
| 2024 | CLGSI: A Multimodal Sentiment Analysis Framework based on Contrastive Learning Guided by Sentiment Intensity. | Yang Yang, Xunde Dong, Yupeng Qiang |
| 2024 | Arithmetic Reasoning with LLM: Prolog Generation & Permutation. | Xiaocheng Yang, Bingsen Chen, Yik-Cheung Tam |
| 2024 | Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk Decoding. | Guangyu Yang, Jinghong Chen, Weizhe Lin, Bill Byrne |
| 2024 | Identifying Self-Disclosures of Use, Misuse and Addiction in Community-based Social Media Posts. | Chenghao Yang, Tuhin Chakrabarty, Karli R. Hochstatter, Melissa N. Slavin, Nabila El-Bassel, Smaranda Muresan |