Papers
Enhanced Visual Instruction Tuning with Synthesized Image-Dialogue Data
Yanda Li, Chi Zhang, Gang Yu et al.
Enhancing Adverse Drug Event Detection with Multimodal Dataset: Corpus Creation and Model Development
Pranab Sahoo, Ayush Kumar Singh, Sriparna Saha et al.
Enhancing Conceptual Understanding in Multimodal Contrastive Learning through Hard Negative Samples
Philipp J. Rösch, Norbert Oswald, Michaela Geierhos et al.
Enhancing Continual Learning in Visual Question Answering with Modality-Aware Feature Distillation
Malvina Nikandrou, Georgios Pantazopoulos, Ioannis Konstas et al.
Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild
Ting Wu, Jingyi Liu, Rui Zheng et al.
Enhancing Cross-Lingual Emotion Detection with Data Augmentation and Token-Label Mapping
Jinghui Zhang, Yuan Zhao, Siqin Zhang et al.
Enhancing Cross Text-Molecule Learning by Self-Augmentation
Yinuo Jiang, Xiang Zhuang, Keyan Ding et al.
Enhancing Dialogue State Tracking Models through LLM-backed User-Agents Simulation
Xingguang Wang, Xuxin Cheng, Juntong Song et al.
Enhancing Distractor Generation for Multiple-Choice Questions with Retrieval Augmented Pretraining and Knowledge Graph Integration
Han Cheng Yu, Yu An Shih, Kin Man Law et al.
Enhancing EEG-to-Text Decoding through Transferable Representations from Pre-trained Contrastive EEG-Text Masked Autoencoder
Jiaqi Wang, Zhenxi Song, Zhengyu Ma et al.
Enhancing Explainable Rating Prediction through Annotated Macro Concepts
Huachi Zhou, Shuang Zhou, Hao Chen et al.
Enhancing Hallucination Detection through Perturbation-Based Synthetic Data Generation in System Responses
Dongxu Zhang, Varun Gangal, Barrett Lattimer et al.
Enhancing Hyperbolic Knowledge Graph Embeddings via Lorentz Transformations
Xiran Fan, Minghua Xu, Huiyuan Chen et al.
Enhancing Idiomatic Representation in Multiple Languages via an Adaptive Contrastive Triplet Loss
Wei He, Marco Idiart, Carolina Scarton et al.
Enhancing In-Context Learning via Implicit Demonstration Augmentation
Xiaoling Zhou, Wei Ye, Yidong Wang et al.
Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency
Baizhou Huang, Shuai Lu, Xiaojun Wan et al.
Enhancing Low-Resource NMT with a Multilingual Encoder and Knowledge Distillation: A Case Study
Aniruddha Roy, Pretam Ray, Ayush Maheshwari et al.
Enhancing Multilingual Capabilities of Large Language Models through Self-Distillation from Resource-Rich Languages
Yuanchi Zhang, Yile Wang, Zijun Liu et al.
Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training
Feiteng Fang, Yuelin Bai, Shiwen Ni et al.
Enhancing Numerical Reasoning with the Guidance of Reliable Reasoning Processes
Dingzirui Wang, Longxu Dou, Xuanliang Zhang et al.
Enhancing Reinforcement Learning with Label-Sensitive Reward for Natural Language Understanding
Kuo Liao, Shuang Li, Meng Zhao et al.
Enhancing Robustness of Retrieval-Augmented Language Models with In-Context Learning
SeongIl Park, Seungwoo Choi, Nahyun Kim et al.
Enhancing Semantic Consistency of Large Language Models through Model Editing: An Interpretability-Oriented Approach
Jingyuan Yang, Dapeng Chen, Yajing Sun et al.
Enhancing Sentence Simplification in Portuguese: Leveraging Paraphrases, Context, and Linguistic Features
Arthur Scalercio, Maria Finatto, Aline Paes
Enhancing Social Media Health Prediction Certainty by Integrating Large Language Models with Transformer Classifiers
Sedigh Khademi, Christopher Palmer, Muhammad Javed et al.