Papers
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 Certified Robustness via Block Reflector Orthogonal Layers and Logit Annealing Loss
Bo-Han Lai, Pin-Han Huang, Bo-Han Kung et al.
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
Enhancing Cognition and Explainability of Multimodal Foundation Models with Self-Synthesized Data
Yucheng Shi, Quanzheng Li, Jin Sun et al.
Enhancing Complex Reasoning in Knowledge Graph Question Answering through Query Graph Approximation
Hongjun Jeong, Minji Kim, Heesoo Jung et al.
Enhancing Compositional Text-to-Image Generation with Reliable Random Seeds
Shuangqi Li, Hieu Le, Jingyi Xu et al.
Enhancing Contrastive Learning for Retinal Imaging via Adjusted Augmentation Scales
Zijie Cheng, Boxuan Li, Andre Altmann et al.
Enhancing Contrastive Learning Inspired by the Philosophy of “The Blind Men and the Elephant”
Yudong Zhang, Ruobing Xie, Jiansheng Chen et al.
Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration
Andreas Kontogiannis, Konstantinos Papathanasiou, Yi Shen et al.
Enhancing Coreference Resolution with LLM-driven Data Augmentation and Adversarial Filtering
Dohyeon Kim, Gayeon Jung, Jeongseon Cho et al.
Enhancing Coreference Resolution with LLM-driven Data Augmentation and Adversarial Filtering
Dohyeon Kim, Gayeon Jung, Jeongseon Cho et al.
Enhancing Counterfactual Estimation: A Focus on Temporal Treatments
Xin Wang, Shengfei Lyu, Kangyang Luo et al.
Enhancing Creative Generation on Stable Diffusion-based Models
Jiyeon Han, Dahee Kwon, Gayoung Lee et al.
Enhancing Criminal Investigation Analysis with Summarization and Memory-based Retrieval-Augmented Generation: A Comprehensive Evaluation of Real Case Data
Mads Skipanes, Tollef Emil Jørgensen, Kyle Porter et al.
Enhancing Cross-Language Code Translation via Task-Specific Embedding Alignment in Retrieval-Augmented Generation
Manish Bhattarai, Minh Vu, Javier E. Santos et al.
Enhancing Cross-Lingual Transfer through Reversible Transliteration: A Huffman-Based Approach for Low-Resource Languages
Wenhao Zhuang, Yuan Sun, Xiaobing Zhao