| 2024 | Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters. | Euiin Yi, Taehyeon Kim, Hongseok Jeung, Du-Seong Chang, Se-Young Yun |
| 2024 | RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning. | Junjie Ye, Yilong Wu, Songyang Gao, Caishuang Huang, Sixian Li, Guanyu Li, Xiaoran Fan, Qi Zhang, Tao Gui, Xuanjing Huang |
| 2024 | AnaloBench: Benchmarking the Identification of Abstract and Long-context Analogies. | Xiao Ye, Andrew Wang, Jacob Choi, Yining Lu, Shreya Sharma, Lingfeng Shen, Vijay Murari Tiyyala, Nicholas Andrews, Daniel Khashabi |
| 2024 | Where Visual Speech Meets Language: VSP-LLM Framework for Efficient and Context-Aware Visual Speech Processing. | Jeong Hun Yeo, Seunghee Han, Minsu Kim, Yong Man Ro |
| 2024 | Self-training Large Language Models through Knowledge Detection. | Wei Jie Yeo, Teddy Ferdinan, Przemyslaw Kazienko, Ranjan Satapathy, Erik Cambria |
| 2024 | Preference-Guided Reflective Sampling for Aligning Language Models. | Hai Ye, Hwee Tou Ng |
| 2024 | R²AG: Incorporating Retrieval Information into Retrieval Augmented Generation. | Fuda Ye, Shuangyin Li, Yongqi Zhang, Lei Chen |
| 2024 | Sing it, Narrate it: Quality Musical Lyrics Translation. | Zhuorui Ye, Jinhan Li, Rongwu Xu |
| 2024 | CoCoLoFa: A Dataset of News Comments with Common Logical Fallacies Written by LLM-Assisted Crowds. | Min-Hsuan Yeh, Ruyuan Wan, Ting-Hao Huang |
| 2024 | GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News Summarization. | Yangfan Ye, Xiachong Feng, Xiaocheng Feng, Weitao Ma, Libo Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin |
| 2024 | Semantic Training Signals Promote Hierarchical Syntactic Generalization in Transformers. | Aditya Yedetore, Najoung Kim |
| 2024 | Data Contamination Can Cross Language Barriers. | Feng Yao, Yufan Zhuang, Zihao Sun, Sunan Xu, Animesh Kumar, Jingbo Shang |
| 2024 | PURE: Aligning LLM via Pluggable Query Reformulation for Enhanced Helpfulness. | Wenjin Yao, Yidong Wang, Zhuohao Yu, Rui Xie, Shikun Zhang, Wei Ye |
| 2024 | README: Bridging Medical Jargon and Lay Understanding for Patient Education through Data-Centric NLP. | Zonghai Yao, Nandyala Siddharth Kantu, Guanghao Wei, Hieu Tran, Zhangqi Duan, Sunjae Kwon, Zhichao Yang, README annotation team, Hong Yu |
| 2024 | Predicting generalization performance with correctness discriminators. | Yuekun Yao, Alexander Koller |
| 2024 | ScaleLLM: A Resource-Frugal LLM Serving Framework by Optimizing End-to-End Efficiency. | Yuhang Yao, Han Jin, Alay Dilipbhai Shah, Shanshan Han, Zijian Hu, Dimitris Stripelis, Yide Ran, Zhaozhuo Xu, Salman Avestimehr, Chaoyang He |
| 2024 | Benchmarking Machine Translation with Cultural Awareness. | Binwei Yao, Ming Jiang, Tara Bobinac, Diyi Yang, Junjie Hu |
| 2024 | Layer-wise Importance Matters: Less Memory for Better Performance in Parameter-efficient Fine-tuning of Large Language Models. | Kai Yao, Penglei Gao, Lichun Li, Yuan Zhao, Xiaofeng Wang, Wei Wang, Jianke Zhu |
| 2024 | EchoSight: Advancing Visual-Language Models with Wiki Knowledge. | Yibin Yan, Weidi Xie |
| 2024 | Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective. | Hanqi Yan, Yanzheng Xiang, Guangyi Chen, Yifei Wang, Lin Gui, Yulan He |
| 2024 | Deciphering Rumors: A Multi-Task Learning Approach with Intent-aware Hierarchical Contrastive Learning. | Chang Yang, Peng Zhang, Hui Gao, Jing Zhang |
| 2024 | AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for Memory-Efficient Large Language Models Fine-Tuning. | Yifan Yang, Kai Zhen, Ershad Banijamali, Athanasios Mouchtaris, Zheng Zhang |
| 2024 | Exploring the Capability of Multimodal LLMs with Yonkoma Manga: The YManga Dataset and Its Challenging Tasks. | Qi Yang, Jingjie Zeng, Liang Yang, Zhihao Yang, Hongfei Lin |
| 2024 | Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones? | Zhe Yang, Yichang Zhang, Tianyu Liu, Jian Yang, Junyang Lin, Chang Zhou, Zhifang Sui |
| 2024 | Decompose and Compare Consistency: Measuring VLMs' Answer Reliability via Task-Decomposition Consistency Comparison. | Qian Yang, Weixiang Yan, Aishwarya Agrawal |