Papers
Everything is Editable: Extend Knowledge Editing to Unstructured Data in Large Language Models
Jingcheng Deng, Zihao Wei, Liang Pang et al.
Everything Matters in Programmable Packet Scheduling
Albert Gran Alcoz, Balázs Vass, Pooria Namyar et al.
Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment
Jiayi Guo, Junhao Zhao, Chaoqun Du et al.
Everywhere Attack: Attacking Locally and Globally to Boost Targeted Transferability
Hui Zeng, Sanshuai Cui, Biwei Chen et al.
EVEv2: Improved Baselines for Encoder-Free Vision-Language Models
Haiwen Diao, Xiaotong Li, Yufeng Cui et al.
EvHDR-GS: Event-guided HDR Video Reconstruction with 3D Gaussian Splatting
Zehao Chen, Zhan Lu, De Ma et al.
EvHDR-NeRF: Building High Dynamic Range Radiance Fields with Single Exposure Images and Events
Zehao Chen, Zhanfeng Liao, De Ma et al.
EVICheck: Evidence-Driven Independent Reasoning and Combined Verification Method for Fact-Checking
Lingxiao Wang, Lei Shi, Feifei Kou et al.
Evidence of Generative Syntax in LLMs
Mary Kennedy
Evidence of Generative Syntax in LLMs
Mary Kennedy
Evidential Knowledge Distillation
Liangyu Xiang, Junyu Gao, Changsheng Xu
Evidential Learning-based Certainty Estimation for Robust Dense Feature Matching
Lile Cai, Chuan-Sheng Foo, Xun Xu et al.
Evil twins are not that evil: Qualitative insights into machine-generated prompts
Nathanaël Carraz Rakotonirina, Corentin Kervadec, Francesca Franzon et al.
EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms
Siyu Yuan, Kaitao Song, Jiangjie Chen et al.
EvoAgentX: An Automated Framework for Evolving Agentic Workflows
Yingxu Wang, Siwei Liu, Jinyuan Fang et al.
EvoBench: Towards Real-world LLM-Generated Text Detection Benchmarking for Evolving Large Language Models
Xiao Yu, Yi Yu, Dongrui Liu et al.
EvOcc: Accurate Semantic Occupancy for Automated Driving Using Evidence Theory
Jonas Kälble, Sascha Wirges, Maxim Tatarchenko et al.
EvoChart: A Benchmark and a Self-Training Approach Towards Real-World Chart Understanding
Muye Huang, Han Lai, Xinyu Zhang et al.
EvoCL: Continual Learning over Evolving Domains
Vishnuprasadh Kumaravelu, P.K. Srijith, Sunil Gupta
EvolKV: Evolutionary KV Cache Compression for LLM Inference
Bohan Yu, Yekun Chai
EVolSplat: Efficient Volume-based Gaussian Splatting for Urban View Synthesis
Sheng Miao, Jiaxin Huang, Dongfeng Bai et al.
Evolutionary Algorithms Are Significantly More Robust to Noise When They Ignore It
Denis Antipov, Benjamin Doerr
Evolutionary Classifier Chain for Multi-Dimensional Classification
Yu-Yang Zhang, Bin-Bin Jia, Min-Ling Zhang
Evolutionary Large Language Model for Automated Feature Transformation
Nanxu Gong, Chandan K Reddy, Wangyang Ying et al.
Evolutionary Reinforcement Learning with Parameterized Action Primitives for Diverse Manipulation Tasks
Xianxu Qiu, Haiming Huang, Weiwei Chen et al.