Papers
Enhancing Robust Fairness via Confusional Spectral Regularization
Gaojie Jin, Sihao Wu, Jiaxu Liu et al.
Enhancing Robustness in Incremental Learning with Adversarial Training
Seungju Cho, Hongsin Lee, Changick Kim
Enhancing Rumor Detection Methods with Propagation Structure Infused Language Model
Chaoqun Cui, Siyuan Li, Kunkun Ma et al.
Enhancing Safe and Controllable Protein Generation via Knowledge Preference Optimization
Yuhao Wang, Keyan Ding, Kehua Feng et al.
Enhancing Sampling Protocol for Point Cloud Classification Against Corruptions
Chongshou Li, Pin Tang, Tianrui Li et al.
Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation
Aishik Konwer, Zhijian Yang, Erhan Bas et al.
Enhancing Scene Graph Generation with Hierarchical Relationships and Commonsense Knowledge
Bowen Jiang, Zhijun Zhuang, Shreyas S. Shivakumar et al.
Enhancing Scene Transition Awareness in Video Generation via Post-Training
Hanwen Shen, Jiajie Lu, Yupeng Cao et al.
Enhancing Scene Transition Awareness in Video Generation via Post-Training
Hanwen Shen, Jiajie Lu, Yupeng Cao et al.
Enhancing Scientific Visual Question Answering through Multimodal Reasoning and Ensemble Modeling
Prahitha Movva, Naga Harshita Marupaka
Enhancing Security and Strengthening Defenses in Automated Short-Answer Grading Systems
Sahar Yarmohammadtoosky, Yiyun Zhou, Victoria Yaneva et al.
Enhancing Semantic Clarity: Discriminative and Fine-grained Information Mining for Remote Sensing Image-Text Retrieval
Yu Liu, Haipeng Chen, Yuheng Liang et al.
Enhancing Sequential Recommendation with Global Diffusion
Mingxuan Luo, Yang Li, Chen Lin
Enhancing Skin Disease Diagnosis: Interpretable Visual Concept Discovery with SAM
Xin Hu, Janet Wang, Jihun Hamm et al.
Enhancing Small Language Models for Cross-Lingual Generalized Zero-Shot Classification with Soft Prompt Tuning
Fred Philippy, Siwen Guo, Cedric Lothritz et al.
Enhancing Software Requirements Engineering with Language Models and Prompting Techniques: Insights from the Current Research and Future Directions
Moemen Ebrahim, Shawkat Guirguis, Christine Basta
Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation
Zhenhua Ning, Zhuotao Tian, Shaoshuai Shi et al.
Enhancing Speech Large Language Models with Prompt-Aware Mixture of Audio Encoders
Weiqiao Shan, Yuang Li, Yuhao Zhang et al.
Enhancing Speech-to-Speech Dialogue Modeling with End-to-End Retrieval-Augmented Generation
Pengchao Feng, Ziyang Ma, Wenxi Chen et al.
Enhancing Spoken Discourse Modeling in Language Models Using Gestural Cues
Varsha Suresh, M. Hamza Mughal, Christian Theobalt et al.
Enhancing SQL Query Generation with Neurosymbolic Reasoning
Henrijs Princis, Cristina David, Alan Mycroft
Enhancing SQL Table Acquisition with Reverse Engineering for Text-to-SQL
Shixin Liu, Haoyu Xu, Yu Hong
Enhancing Stress Detection on Social Media Through Multi-Modal Fusion of Text and Synthesized Visuals
Efstathia Soufleri, Sophia Ananiadou
Enhancing Study-Level Inference from Clinical Trial Papers via Reinforcement Learning-Based Numeric Reasoning
Massimiliano Pronesti, Michela Lorandi, Paul Flanagan et al.
Enhancing Table Recognition with Vision LLMs: A Benchmark and Neighbor-Guided Toolchain Reasoner
Yitong Zhou, Mingyue Cheng, Qingyang Mao et al.