Papers
Enhancing Adversarial Transferability with Adversarial Weight Tuning
Jiahao Chen, Zhou Feng, Rui Zeng et al.
Enhancing Adversarial Transferability with Checkpoints of a Single Model's Training
Shixin Li, Chaoxiang He, Xiaojing Ma et al.
Enhancing Aging Biomarker Research through Large Language Models and Knowledge Graphs (Student Abstract)
Srikar Reddy Gadusu, Yiğit Küçük, Vania Santillana et al.
Enhancing AI-Driven Farming Advisory in Kenya with Efficient RAG Agents via Quantized Fine-Tuned Language Models
Theophilus Lincoln Owiti, Andrew Kiprop Kipkebut
Enhancing AMR Parsing with Group Relative Policy Optimization
Botond Barta, Endre Hamerlik, Milán Nyist et al.
Enhancing Antimicrobial Drug Resistance Classification by Integrating Sequence-Based and Text-Based Representations
Hyunwoo Yoo, Bahrad Sokhansanj, James Brown
Enhancing Arabic Automated Essay Scoring with Synthetic Data and Error Injection
Chatrine Qwaider, Bashar Alhafni, Kirill Chirkunov et al.
Enhancing Arabic NLP Tasks through Character-Level Models and Data Augmentation
Mohanad Mohamed, Sadam Al-Azani
Enhancing Attributed Question Answering using Tailored Progressive Curriculum Learning
Yuhan Chen, Bowei Zou, Yifan Fan et al.
Enhancing Audiovisual Speech Recognition Through Bifocal Preference Optimization
Yihan Wu, Yichen Lu, Yifan Peng et al.
Enhancing Automated Grading in Science Education through LLM-Driven Causal Reasoning and Multimodal Analysis
Haohao Zhu, Tingting Li, Peng He et al.
Enhancing Automated Interpretability with Output-Centric Feature Descriptions
Yoav Gur-Arieh, Roy Mayan, Chen Agassy et al.
Enhancing Automatic Term Extraction with Large Language Models via Syntactic Retrieval
Yongchan Chun, Minhyuk Kim, Dongjun Kim et al.
Enhancing Autonomous Driving Systems with On-Board Deployed Large Language Models
Nicolas Baumann, Cheng Hu, Paviththiren Sivasothilingam et al.
Enhancing BERT Fine-Tuning for Sentiment Analysis in Lower-Resourced Languages
Jozef Kubík, Marek Suppa, Martin Takac
Enhancing BERT Fine-Tuning for Sentiment Analysis in Lower-Resourced Languages
Jozef Kubík, Marek Suppa, Martin Takac
Enhancing Causal Relationship Detection Using Prompt Engineering and Large Language Models
Pulkit Chatwal, Amit Agarwal, Ankush Mittal
Enhancing Chain of Thought Prompting in Large Language Models via Reasoning Patterns
Yufeng Zhang, Xuepeng Wang, Lingxiang Wu et al.
Enhancing Chain-of-Thought Reasoning via Neuron Activation Differential Analysis
Yiru Tang, Kun Zhou, Yingqian Min et al.
Enhancing Chain-of-Thought Reasoning with Critical Representation Fine-tuning
Chenxi Huang, Shaotian Yan, Liang Xie et al.
Enhancing Character-Level Understanding in LLMs through Token Internal Structure Learning
Zhu Xu, Zhiqiang Zhao, Zihan Zhang et al.
Enhancing Chemical Reaction and Retrosynthesis Prediction with Large Language Model and Dual-task Learning
Xuan Lin, Qingrui Liu, Hongxin Xiang et al.
Enhancing Chinese Offensive Language Detection with Homophonic Perturbation
Junqi Wu, Shujie Ji, Kang Zhong et al.
Enhancing Close-up Novel View Synthesis via Pseudo-labeling
Jiatong Xia, Libo Sun, Lingqiao Liu
Enhancing Clustered Federated Learning: Integration of Strategies and Improved Methodologies
Yongxin Guo, Xiaoying Tang, Tao Lin