| 2024 | Eliciting In-Context Learning in Vision-Language Models for Videos Through Curated Data Distributional Properties. | Keunwoo Peter Yu, Zheyuan Zhang, Fengyuan Hu, Shane Storks, Joyce Chai |
| 2024 | LIONs: An Empirically Optimized Approach to Align Language Models. | Xiao Yu, Qingyang Wu, Yu Li, Zhou Yu |
| 2024 | LLMs as Collaborator: Demands-Guided Collaborative Retrieval-Augmented Generation for Commonsense Knowledge-Grounded Open-Domain Dialogue Systems. | Jiong Yu, Sixing Wu, Jiahao Chen, Wei Zhou |
| 2024 | PepRec: Progressive Enhancement of Prompting for Recommendation. | Yakun Yu, Shiang Qi, Baochun Li, Di Niu |
| 2024 | MMoE: Enhancing Multimodal Models with Mixtures of Multimodal Interaction Experts. | Haofei Yu, Zhengyang Qi, Lawrence Jang, Russ Salakhutdinov, Louis-Philippe Morency, Paul Pu Liang |
| 2024 | MirrorStories: Reflecting Diversity through Personalized Narrative Generation with Large Language Models. | Sarfaroz Yunusov, Hamza Sidat, Ali Emami |
| 2024 | Rethinking the Evaluation of In-Context Learning for LLMs. | Guoxin Yu, Lemao Liu, Mo Yu, Yue Yu, Xiang Ao |
| 2024 | Neeko: Leveraging Dynamic LoRA for Efficient Multi-Character Role-Playing Agent. | Xiaoyan Yu, Tongxu Luo, Yifan Wei, Fangyu Lei, Yiming Huang, Hao Peng, Liehuang Zhu |
| 2024 | CoSafe: Evaluating Large Language Model Safety in Multi-Turn Dialogue Coreference. | Erxin Yu, Jing Li, Ming Liao, Siqi Wang, Zuchen Gao, Fei Mi, Lanqing Hong |
| 2024 | MGCL: Multi-Granularity Clue Learning for Emotion-Cause Pair Extraction via Cross-Grained Knowledge Distillation. | Yang Yu, Xin Lin, Changqun Li, Shizhou Huang, Liang He |
| 2024 | Breaking the Ceiling of the LLM Community by Treating Token Generation as a Classification for Ensembling. | Yao-Ching Yu, Chun-Chih Kuo, Ziqi Ye, Yu-Cheng Chang, Yueh-Se Li |
| 2024 | TurkishMMLU: Measuring Massive Multitask Language Understanding in Turkish. | Arda Yksel, Abdullatif Kksal, Ltfi Kerem Senel, Anna Korhonen, Hinrich Schtze |
| 2024 | Distilling Instruction-following Abilities of Large Language Models with Task-aware Curriculum Planning. | Yuanhao Yue, Chengyu Wang, Jun Huang, Peng Wang |
| 2024 | Latent Concept-based Explanation of NLP Models. | Xuemin Yu, Fahim Dalvi, Nadir Durrani, Marzia Nouri, Hassan Sajjad |
| 2024 | Text Fluoroscopy: Detecting LLM-Generated Text through Intrinsic Features. | Xiao Yu, Kejiang Chen, Qi Yang, Weiming Zhang, Nenghai Yu |
| 2024 | Mechanistic Understanding and Mitigation of Language Model Non-Factual Hallucinations. | Lei Yu, Meng Cao, Jackie C. K. Cheung, Yue Dong |
| 2024 | Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models. | Yu Yuan, Lili Zhao, Kai Zhang, Guangting Zheng, Qi Liu |
| 2024 | Improving Zero-shot LLM Re-Ranker with Risk Minimization. | Xiaowei Yuan, Zhao Yang, Yequan Wang, Jun Zhao, Kang Liu |
| 2024 | Evaluating Character Understanding of Large Language Models via Character Profiling from Fictional Works. | Xinfeng Yuan, Siyu Yuan, Yuhan Cui, Tianhe Lin, Xintao Wang, Rui Xu, Jiangjie Chen, Deqing Yang |
| 2024 | HELPD: Mitigating Hallucination of LVLMs by Hierarchical Feedback Learning with Vision-enhanced Penalty Decoding. | Fan Yuan, Chi Qin, Xiaogang Xu, Piji Li |
| 2024 | KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches. | Jiayi Yuan, Hongyi Liu, Shaochen (Henry) Zhong, Yu-Neng Chuang, Songchen Li, Guanchu Wang, Duy Le, Hongye Jin, Vipin Chaudhary, Zhaozhuo Xu, Zirui Liu, Xia Ben Hu |
| 2024 | Boosting Scientific Concepts Understanding: Can Analogy from Teacher Models Empower Student Models? | Siyu Yuan, Cheng Jiayang, Lin Qiu, Deqing Yang |
| 2024 | Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model. | Chenhan Yuan, Fei Huang, Ru Peng, Keming Lu, Bowen Yu, Chang Zhou, Jingren Zhou |
| 2024 | Focused Large Language Models are Stable Many-Shot Learners. | Peiwen Yuan, Shaoxiong Feng, Yiwei Li, Xinglin Wang, Yueqi Zhang, Chuyi Tan, Boyuan Pan, Heda Wang, Yao Hu, Kan Li |
| 2024 | Can Large Language Models Grasp Legal Theories? Enhance Legal Reasoning with Insights from Multi-Agent Collaboration. | Weikang Yuan, Junjie Cao, Zhuoren Jiang, Yangyang Kang, Jun Lin, Kaisong Song, Tianqianjin Lin, Pengwei Yan, Changlong Sun, Xiaozhong Liu |