Papers
EnViT: Enhancing the Performance of Early-Exit Vision Transformers via Exit-Aware Structured Dropout-Enabled Self-Distillation
Yonghao Dong, Qiang He, Penghong Rui et al.
EoH-S: Evolution of Heuristic Set Using LLMs for Automated Heuristic Design
Fei Liu, Yilu Liu, Qingfu Zhang et al.
EPIC: Explanation of Pretrained Image Classification Networks via Prototypes
Piotr Borycki, Magdalena Trędowicz, Szymon Janusz et al.
EPO: Diverse and Realistic Protein Ensemble Generation via Energy Preference Optimization
Yuancheng Sun, Yuxuan Ren, Zhaoming Chen et al.
EPSegFZ: Efficient Point Cloud Semantic Segmentation for Few- and Zero-Shot Scenarios with Language Guidance
Jiahui Wang, Haiyue Zhu, Haoren Guo et al.
EquaCode: A Multi-Strategy Jailbreak Approach for Large Language Models via Equation Solving and Code Completion
Zhen Liang, Hai Huang, Zhengkui Chen
Equilibrium-Driven Vertical Federated Learning with Selective Privacy Protection
Yuanzhe Peng, Wenwei Zhao, Zhuo Lu et al.
Equivariant Atomic and Lattice Modeling Using Geometric Deep Learning for Crystal Structure Optimization
Ziduo Yang, Yi-Ming Zhao, Xian Wang et al.
ERank: Fusing Supervised Fine-Tuning and Reinforcement Learning for Effective and Efficient Text Reranking
Yuzheng Cai, Yanzhao Zhang, Dingkun Long et al.
Error Correction in Radiology Reports: A Knowledge Distillation-Based Multi-Stage Framework
Jinge Wu, Zhaolong Wu, Ruizhe Li et al.
Error Slice Discovery via Manifold Compactness
Han Yu, Hao Zou, Jiashuo Liu et al.
ESCA: An Emotional Support Conversation Agent for Enhancing Reasonable Strategy Planning and Effective Expression
Jing Li, Yanxin Luo, Donghong Han et al.
Escaping Optimization Stagnation: Taking Steps Beyond Task Arithmetic via Difference Vectors
Jinping Wang, Zhiqiang Gao, Zhang Dinggen et al.
Escaping the CAM Shadow: Uncertainty-Guided Reliable Learning for Weakly Supervised Semantic Segmentation
Luyao Chang, Leiting Chen, Chen Yang et al.
ESG-Bench: Benchmarking Long-Context ESG Reports for Hallucination Mitigation
Siqi Sun, Ben Peng Wu, Mali Jin et al.
ESMC: MLLM-Based Embedding Selection for Explainable Multiple Clustering
Xinyue Wang, Yuheng Jia, Hui Liu et al.
EssayBench: Evaluating Large Language Models in Multi-Genre Chinese Essay Writing
Fan Gao, Dongyuan Li, Ding Xia et al.
Estimating Online Influence Needs Causal Modeling! Counterfactual Analysis of Misinformation Engagement on Social Media
Lin Tian, Marian-Andrei Rizoiu
Estimating the True Distribution of Data Collected with Randomized Response
Carlos Antonio Pinzón, Ehab ElSalamouny, Lucas Massot et al.
EvalMuse-40K: A Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Alignment Evaluation
Shuhao Han, Haotian Fan, Jiachen Fu et al.
EvalQAG: A Framework for Automatic Complex QA Generation and a Benchmark QA Dataset for Policy Documents
Kirtan Brijeshbhai Soni, Krish Rupapara, Arpit Rana et al.
Evaluating LLMs for Police Decision-Making: A Framework Based on Police Action Scenarios
Sangyub Lee, Heedou Kim, Hyeoncheol Kim
Evaluating Online Moderation via LLM-Powered Counterfactual Simulations
Giacomo Fidone, Lucia Passaro, Riccardo Guidotti
Evaluating, Synthesizing, and Enhancing for Customer Support Conversation
Jie Zhu, Huaixia Dou, Junhui Li et al.