Papers
Learn and Consolidate: Continual Adaptation for Zero-Shot and Multilingual Neural Machine Translation
Kaiyu Huang, Peng Li, Junpeng Liu et al.
Learn From One Specialized Sub-Teacher: One-to-One Mapping for Feature-Based Knowledge Distillation
Khouloud Saadi, Jelena Mitrović, Michael Granitzer
Learning Co-Speech Gesture for Multimodal Aphasia Type Detection
Daeun Lee, Sejung Son, Hyolim Jeon et al.
Learning Dynamic Representations for Discourse Dependency Parsing
Tianyi Liu, Yansong Feng, Dongyan Zhao
Learning Easily Updated General Purpose Text Representations with Adaptable Task-Specific Prefix
Kuan-Hao Huang, Liang Tan, Rui Hou et al.
Learning From Free-Text Human Feedback – Collect New Datasets Or Extend Existing Ones?
Dominic Petrak, Nafise Moosavi, Ye Tian et al.
Learning from Mistakes via Cooperative Study Assistant for Large Language Models
Danqing Wang, Lei Li
Learning Interpretable Style Embeddings via Prompting LLMs
Ajay Patel, Delip Rao, Ansh Kothary et al.
Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding
Taolin Zhang, Ruyao Xu, Chengyu Wang et al.
Learning Language-guided Adaptive Hyper-modality Representation for Multimodal Sentiment Analysis
Haoyu Zhang, Yu Wang, Guanghao Yin et al.
Learning Multilingual Sentence Representations with Cross-lingual Consistency Regularization
Pengzhi Gao, Liwen Zhang, Zhongjun He et al.
Learning Preference Model for LLMs via Automatic Preference Data Generation
Shijia Huang, Jianqiao Zhao, Yanyang Li et al.
Learning Retrieval Augmentation for Personalized Dialogue Generation
Qiushi Huang, Shuai Fu, Xubo Liu et al.
Learning Semantic Role Labeling from Compatible Label Sequences
Tao Li, Ghazaleh Kazeminejad, Susan Brown et al.
Learning the Visualness of Text Using Large Vision-Language Models
Gaurav Verma, Ryan Rossi, Christopher Tensmeyer et al.
Learning to Abstract with Nonparametric Variational Information Bottleneck
Melika Behjati, Fabio Fehr, James Henderson
Learning to Compose Representations of Different Encoder Layers towards Improving Compositional Generalization
Lei Lin, Shuangtao Li, Yafang Zheng et al.
Learning to Correct Noisy Labels for Fine-Grained Entity Typing via Co-Prediction Prompt Tuning
Minghao Tang, Yongquan He, Yongxiu Xu et al.
Learning to Describe for Predicting Zero-shot Drug-Drug Interactions
Fangqi Zhu, Yongqi Zhang, Lei Chen et al.
Learning to Follow Object-Centric Image Editing Instructions Faithfully
Tuhin Chakrabarty, Kanishk Singh, Arkadiy Saakyan et al.
Learning to Rank Context for Named Entity Recognition Using a Synthetic Dataset
Arthur Amalvy, Vincent Labatut, Richard Dufour
Learning to Rank Generation with Pairwise Partial Rewards
Youngwon Lee, Jinu Lee, Seung-won Hwang
Learning under Label Proportions for Text Classification
Jatin Chauhan, Xiaoxuan Wang, Wei Wang