| 2024 | Whispers that Shake Foundations: Analyzing and Mitigating False Premise Hallucinations in Large Language Models. | Hongbang Yuan, Pengfei Cao, Zhuoran Jin, Yubo Chen, Daojian Zeng, Kang Liu, Jun Zhao |
| 2024 | R-Judge: Benchmarking Safety Risk Awareness for LLM Agents. | Tongxin Yuan, Zhiwei He, Lingzhong Dong, Yiming Wang, Ruijie Zhao, Tian Xia, Lizhen Xu, Binglin Zhou, Fangqi Li, Zhuosheng Zhang, Rui Wang, Gongshen Liu |
| 2024 | Interpreting Arithmetic Mechanism in Large Language Models through Comparative Neuron Analysis. | Zeping Yu, Sophia Ananiadou |
| 2024 | How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric Learning. | Zeping Yu, Sophia Ananiadou |
| 2024 | Neuron-Level Knowledge Attribution in Large Language Models. | Zeping Yu, Sophia Ananiadou |
| 2024 | Multimodal Clickbait Detection by De-confounding Biases Using Causal Representation Inference. | Jianxing Yu, Shiqi Wang, Han Yin, Zhenlong Sun, Ruobing Xie, Bo Zhang, Yanghui Rao |
| 2024 | Self-Powered LLM Modality Expansion for Large Speech-Text Models. | Tengfei Yu, Xuebo Liu, Zhiyi Hou, Liang Ding, Dacheng Tao, Min Zhang |
| 2024 | LLM-Evolve: Evaluation for LLM's Evolving Capability on Benchmarks. | Jiaxuan You, Mingjie Liu, Shrimai Prabhumoye, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro |
| 2024 | SciPrompt: Knowledge-augmented Prompting for Fine-grained Categorization of Scientific Topics. | Zhiwen You, Kanyao Han, Haotian Zhu, Bertram Ludscher, Jana Diesner |
| 2024 | AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks? | Ori Yoran, Samuel Joseph Amouyal, Chaitanya Malaviya, Ben Bogin, Ofir Press, Jonathan Berant |
| 2024 | By My Eyes: Grounding Multimodal Large Language Models with Sensor Data via Visual Prompting. | Hyungjun Yoon, Biniyam Aschalew Tolera, Taesik Gong, Kimin Lee, Sung-Ju Lee |
| 2024 | Matryoshka-Adaptor: Unsupervised and Supervised Tuning for Smaller Embedding Dimensions. | Jinsung Yoon, Rajarishi Sinha, Sercan mer Arik, Tomas Pfister |
| 2024 | Language, OCR, Form Independent (LOFI) pipeline for Industrial Document Information Extraction. | Chang Yoon, Wonbeen Lee, Seokhwan Jang, Kyuwon Choi, Minsung Jung, Daewoo Choi |
| 2024 | CompAct: Compressing Retrieved Documents Actively for Question Answering. | Chanwoong Yoon, Taewhoo Lee, Hyeon Hwang, Minbyul Jeong, Jaewoo Kang |
| 2024 | LexC-Gen: Generating Data for Extremely Low-Resource Languages with Large Language Models and Bilingual Lexicons. | Zheng Xin Yong, Cristina Menghini, Stephen H. Bach |
| 2024 | Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words? | Gal Yona, Roee Aharoni, Mor Geva |
| 2024 | LexMatcher: Dictionary-centric Data Curation for LLM-based Machine Translation. | Yongjing Yin, Jiali Zeng, Yafu Li, Fandong Meng, Yue Zhang |
| 2024 | MuMath-Code: Combining Tool-Use Large Language Models with Multi-perspective Data Augmentation for Mathematical Reasoning. | Shuo Yin, Weihao You, Zhilong Ji, Guoqiang Zhong, Jinfeng Bai |
| 2024 | ASL STEM Wiki: Dataset and Benchmark for Interpreting STEM Articles. | Kayo Yin, Chinmay Singh, Fyodor Minakov, Vanessa Milan, Hal Daum III, Cyril Zhang, Alex Lu, Danielle Bragg |
| 2024 | Explicit Memory Learning with Expectation Maximization. | Zhangyue Yin, Qiushi Sun, Qipeng Guo, Zhiyuan Zeng, Qinyuan Cheng, Xipeng Qiu, Xuanjing Huang |
| 2024 | Deeper Insights Without Updates: The Power of In-Context Learning Over Fine-Tuning. | Qingyu Yin, Xuzheng He, Chak Tou Leong, Fan Wang, Yanzhao Yan, Xiaoyu Shen, Qiang Zhang |
| 2024 | Empirical Prior for Text Autoencoders. | Yongjing Yin, Wenyang Gao, Haodong Wu, Jianhao Yan, Yue Zhang |
| 2024 | LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement. | Jiahao Ying, Mingbao Lin, Yixin Cao, Wei Tang, Bo Wang, Qianru Sun, Xuanjing Huang, Shuicheng Yan |
| 2024 | Semformer: Transformer Language Models with Semantic Planning. | Yongjing Yin, Junran Ding, Kai Song, Yue Zhang |
| 2024 | Integrating Structural Semantic Knowledge for Enhanced Information Extraction Pre-training. | Xiaoyang Yi, Yuru Bao, Jian Zhang, Yifang Qin, Faxin Lin |