Papers
First-Order Error Matters: Accurate Compensation for Quantized Large Language Models
Xingyu Zheng, Haotong Qin, Yuye Li et al.
First-Order Representation Languages for Goal-Conditioned RL
Simon Ståhlberg, Hector Geffner
FIXME: Towards End-to-End Benchmarking of LLM-Aided Design Verification
Gwok-Waa Wan, SamZaak Wong, Shengchu Su et al.
FLAG-4D: Flow-Guided Local-Global Dual-Deformation Model for 4D Reconstruction
Guan Yuan Tan, Ngoc Tuan Vu, Arghya Pal et al.
FlashKAT: Understanding and Addressing Performance Bottlenecks in the Kolmogorov-Arnold Transformer
Matthew Raffel, Lizhong Chen
FlashSVD: Memory-Efficient Inference with Streaming for Low-Rank Models
Zishan Shao, Yixiao Wang, Qinsi Wang et al.
FlashVideo: Flowing Fidelity to Detail for Efficient High-Resolution Video Generation
Shilong Zhang, Wenbo Li, Shoufa Chen et al.
Flexible Concept Bottleneck Model
Xingbo Du, Qiantong Dou, Lei Fan et al.
FloorPlanFormer: Multi-Task Transformer Network for Floor Plan Recognition with Outer-to-Inner Feature Refinement
Yun Liang, ZiHao Wu, Run Zheng et al.
Flora: Effortless Context Construction to Arbitrary Length and Scale
Tianxiang Chen, Zhentao Tan, Xiaofan Bo et al.
FlorE: Integrating Full Lorentz Group and Directional Offsets for Effective Knowledge Graph Embedding
Zehua Duo, Jiang Li, Xiangdong Su et al.
FlowAnyTime: Efficient Fine-tuning with Intra-Inter Frame Distillation for All-Weather Optical Flow Estimation
Zixu Wang, Hongye Chen, Xiaochun Zou et al.
Flow-Based Knowledge Transfer for Efficient Large Model Distillation
Xinye Yang, Junhao Wang, RuiLi et al.
Flow-Induced Diagonal Gaussian Processes
Moule Lin, Andrea Patane, Weipeng Jing et al.
Flowing Backwards: Improving Normalizing Flows via Reverse Representation Alignment
Yang Chen, Xiaowei Xu, Shuai Wang et al.
FlowPath: Learning Data-Driven Manifolds with Invertible Flows for Robust Irregularly-sampled Time Series Classification
YongKyung Oh, Dong-Young Lim, Sungil Kim
FLRQ: Faster LLM Quantization with Flexible Low-Rank Matrix Sketching
Hongyaoxing Gu, Lijuan Hu, Shuzi Niu et al.
FoAM: Foresight-Augmented Multi-Task Imitation Policy for Robotic Manipulation
Litao Liu, Wentao Wang, Yifan Han et al.
FocusDPO: Dynamic Preference Optimization for Multi-Subject Personalized Image Generation via Adaptive Focus
Qiaoqiao Jin, Siming Fu, Dong She et al.
Focusing on Language: Revealing and Exploiting Language Attention Heads in Multilingual Large Language Models
Xin Liu, Qiyang Song, Qihang Zhou et al.
Force-Aware 3D Contact Modeling for Stable Grasp Generation
Zhuo Chen, Zhongqun Zhang, Yihua Cheng et al.
Forecasting Clinical Risk from Textual Time Series: Structuring Narratives for Temporal AI in Healthcare
Shahriar Noroozizadeh, Sayantan Kumar, Jeremy C. Weiss
Forecast Then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers
Shikang Zheng, Liang Feng, Xinyu Wang et al.
ForeDiffusion: Foresight-Conditioned Diffusion Policy via Future View Construction for Robot Manipulation
Weize Xie, Yi Ding, Ying He et al.