Papers
Feed-Forward SceneDINO for Unsupervised Semantic Scene Completion
Aleksandar Jevtić, Christoph Reich, Felix Wimbauer et al.
Feeding Two Birds or Favoring One? Adequacy–Fluency Tradeoffs in Evaluation and Meta-Evaluation of Machine Translation
Behzad Shayegh, Jan-Thorsten Peter, David Vilar et al.
“Feels Feminine to Me”: Understanding Perceived Gendered Style through Human Annotations
Hongyu Chen, Neele Falk, Michael Roth et al.
Feel the Difference? A Comparative Analysis of Emotional Arcs in Real and LLM-Generated CBT Sessions
Xiaoyi Wang, Jiwei Zhang, Guangtao Zhang et al.
Feint and Attack: Jailbreaking and Protecting LLMs via Attention Distribution Modeling
Rui Pu, Chaozhuo Li, Rui Ha et al.
Fengbo: a Clifford Neural Operator pipeline for 3D PDEs in Computational Fluid Dynamics
Alberto Pepe, Mattia Montanari, Joan Lasenby
FENJI at SemEval-2025 Task 3: Retrieval-Augmented Generation and Hallucination Span Detection
Flor Alberts, Ivo Bruinier, Nathalie Palm et al.
FENJI at SemEval-2025 Task 3: Retrieval-Augmented Generation and Hallucination Span Detection
Flor Alberts, Ivo Bruinier, Nathalie Palm et al.
FERMI: Flexible Radio Mapping with a Hybrid Propagation Model and Scalable Autonomous Data Collection
Yiming Luo, Yunfei Wang, Hongming Chen et al.
FERN: A Fetal Echocardiography Registration Network for 2D-to-3D Alignment
Paula Ramirez Gilliland, David F A Lloyd, Jacqueline Matthew et al.
Ferret: An Efficient Online Continual Learning Framework under Varying Memory Constraints
Yuhao Zhou, Yuxin Tian, Jindi Lv et al.
Ferret: Faster and Effective Automated Red Teaming with Reward-Based Scoring Technique
Tej Deep Pala, Vernon Toh, Rishabh Bhardwaj et al.
Ferret-UI 2: Mastering Universal User Interface Understanding Across Platforms
Zhangheng LI, Keen You, Haotian Zhang et al.
FESTA: Functionally Equivalent Sampling for Trust Assessment of Multimodal LLMs
Debarpan Bhattacharya, Apoorva Kulkarni, Sriram Ganapathy
FEVER-OOD: Free Energy Vulnerability Elimination for Robust Out-of-Distribution Detection
Brian K.S. Isaac-Medina, Mauricio Che, Yona Falinie A. Gaus et al.
Few-Class Arena: A Benchmark for Efficient Selection of Vision Models and Dataset Difficulty Measurement
Bryan Bo Cao, Lawrence O'Gorman, Michael Coss et al.
Fewer Denoising Steps or Cheaper Per-Step Inference: Towards Compute-Optimal Diffusion Model Deployment
Zhenbang Du, Yonggan Fu, Lifu Wang et al.
Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset
Yiqin Yang, Quanwei Wang, Chenghao Li et al.
Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization
Xi Lin, Yilu Liu, Xiaoyuan Zhang et al.
Few-Shot Audio-Visual Class-Incremental Learning with Temporal Prompting and Regularization
Yawen Cui, Li Liu, Zitong Yu et al.
Few-Shot Coreference Resolution with Semantic Difficulty Metrics and In-Context Learning
Nguyen Xuan Phuc, Dang Van Thin
Few-Shot Domain Adaptation for Learned Image Compression
Tianyu Zhang, Haotian Zhang, Yuqi Li et al.
Few-shot domain adaptation for named-entity recognition via joint constrained k-means and subspace selection
Ayoub Hammal, Benno Uthayasooriyar, Caio Corro
Few-Shot Fine-Grained Image Classification with Progressively Feature Refinement and Continuous Relationship Modeling
Zhen-Xiang Ma, Zhen-Duo Chen, Tai Zheng et al.
Few-Shot Image Quality Assessment via Adaptation of Vision-Language Models
Xudong Li, Zihao Huang, Yan Zhang et al.