Papers
Evaluating the Effect of Retrieval Augmentation on Social Biases
Tianhui Zhang, Yi Zhou, Danushka Bollegala
Evaluating the Factuality of Large Language Models Using Multiple Plug-and-Play Fact Sources
Zhaoheng Huang, Yutao Zhu, Jirong Wen et al.
Evaluating the Impact of SAE-based Language Steering on LLM Performance
Sebastian Zwirner, Wentao Hu, Koshiro Aoki et al.
Evaluating the Interplay of Information Status and Information Content in a Multilingual Parallel Corpus
Julius Steuer, Toshiki Nakai, Andrew Thomas Dyer et al.
Evaluating the Pre-Consultation Ability of LLMs using Diagnostic Guidelines
Jean Seo, Gibaeg Kim, Kihun Shin et al.
Evaluating Yoruba Text-to-Speech Systems for Accessible Computer-Based Testing in Visually Impaired Learners
Kausar Yetunde Moshood, Victor Tolulope Olufemi, Oreoluwa Boluwatife Babatunde et al.
Evaluation and LLM-Guided Learning of ICD Coding Rationales
Mingyang Li, Viktor Schlegel, Tingting Mu et al.
Evaluation of Deontic Conditional Reasoning in Large Language Models: The Case of Wason’s Selection Task
Hirohiko Abe, Kentaro Ozeki, Risako Ando et al.
EvDiff3D: Event-Aware Diffusion Repair for High-Fidelity Event-Based 3D Reconstruction
Kanghao Chen, Zixin Zhang, Hangyu Li et al.
Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection
Aayush Atul Verma, Arpitsinh Vaghela, Bharatesh Chakravarthi et al.
Event Detection with a Context-Aware Encoder and LoRA for Improved Performance on Long-Tailed Classes
Abdullah Al Monsur, Nitesh Vamshi Bommisetty, Gene Louis Kim
Event-Guided Scene Text Image Super-Resolution
Zihan Qi, Zeyu Xiao, Haoyi Zhao et al.
Event-Guided Super-Resolving Blurry Image via Asymmetric Integral Driven Consistency
Chi Zhang, Xiang Zhang, Lei Yu et al.
Every Little Bit Helps: Exploring Better Utilization of Unlabeled Data for Semi-supervised Singing Melody Extraction Using Multi-bands Diffusion Model
Shuai Yu, Xiaoliang He, Kangjie Dong et al.
Ev-iCRF: Self-supervised Event-guided iCRF Estimation for HDR Image Reconstruction
Xucheng Guo, Bing Li, Lin Wang et al.
Evidence-aware Integration and Domain Identification of Spatial Transcriptomics Data
Wei Zhang, Siyu Yi, Lezhi Chen et al.
Evidence Grounding vs. Memorization: Why Neural Semantics Matter for Knowledge Graph Fact Verification
Ankit Kumar Upadhyay, John S. Erickson, Deborah L. McGuinness
Evidential Semantic Entropy for LLM Uncertainty Quantification
Lucie Kunitomo-Jacquin, Edison Marrese-Taylor, Ken Fukuda et al.
EvoEmpirBench: Dynamic Spatial Reasoning with Agent-ExpVer
Pukun Zhao, Longxiang Wang, Miaowei Wang et al.
EvoFMVC: Trusted Federated Multi-View Clustering with Evolutionary Fusion
Li Zhang, Pinhan Fu, Li Lv et al.
EvoGrad: Evolutionary-Weighted Gradient and Hessian Learning for Black-Box Optimization
Yedidya Kfir, Elad Sarafian, Yoram Louzoun et al.
EVOKE: Efficient and High-Fidelity EEG-to-Video Reconstruction via Decoupling Implicit Neural Representation
Haodong Jing, Panqi Yang, Dongyao Jiang et al.
Evolving Generalist Virtual Agents with Generative and Associative Memory
Zhenkui Zhang, Wendong Bu, Kaihang Pan et al.
Evolving Semantic Propagation for Aerial Semantic 3D Gaussian Splatting
Zihan Gao, Lingling Li, Xu Liu et al.