Papers
FINE: Factorized Multimodal Sentiment Analysis via Mutual INformation Estimation
Yadong Liu, Shangfei Wang
Fine-flow Distilling Coarse-flow Video Generation for Long-Term Driving World Model
Xiaodong Wang, Zhirong Wu, Peixi Peng
Fine-grained Defocus Blur Control for Generative Image Models
Ayush Shrivastava, Connelly Barnes, Xuaner Zhang et al.
Fine-Grained DINO Tuning with Dual Supervision for Face Forgery Detection
Tianxiang Zhang, Peipeng Yu, Zhihua Xia et al.
Fine-Grained Generalization via Structuralizing Concept and Feature Space into Commonality, Specificity and Confounding
Zhen Wang, Jiaojiao Zhao, Qilong Wang et al.
Fine-grained Image Quality Assessment for Perceptual Image Restoration
Xiangfei Sheng, Xiaofeng Pan, Zhichao Yang et al.
Fine-Grained Image Retrieval via Dual-Vision Adaptation
Xin Jiang, Meiqi Cao, Hao Tang et al.
Fine-Grained Interpretation of Political Opinions in Large Language Models
Jingyu Hu, Mengyue Yang, Mengnan Du et al.
Fine-Grained Representation for Lane Topology Reasoning
Guoqing Xu, Yiheng Li, Yang Yang
Fine-grained Uncertainty Decomposition in Large Language Models: A Spectral Approach
Nassim Walha, Sebastian G. Gruber, Thomas Decker et al.
FineRef: Fine-Grained Error Reflection and Correction for Long-Form Generation with Citations
Yixing Peng, Licheng Zhang, Shancheng Fang et al.
FiNERweb: Datasets and Artifacts for Scalable Multilingual Named Entity Recognition
Jonas Golde, Patrick Haller, Alan Akbik
FINEST: Improving LLM Responses to Sensitive Topics Through Fine-Grained Evaluation
Juhyun Oh, Nayeon Lee, Chani Jung et al.
FineTec: Fine-Grained Action Recognition Under Temporal Corruption via Skeleton Decomposition and Sequence Completion
Dian Shao, Mingfei Shi, Like Liu
Fine-Tuned LLMs Know They Don’t Know: A Parameter-Efficient Approach to Recovering Honesty
Zeyu Shi, Ziming Wang, Tianyu Chen et al.
Fine-Tuning Sample Order Matters in Propositional Logical Question-Answering (Student Abstract)
Fengxiang Cheng, Chuan Zhou, Fenrong Liu et al.
Fine-tuning Zero-shot Large Language Models for Patient-reported Outcomes (Student Abstract)
Yang Yan, Matthew W. Chen, Jiayi Lyu et al.
FineVAU: A Novel Human-Aligned Benchmark for Fine-Grained Video Anomaly Understanding
Joao Alexandre Cardeira Pereira, Vasco Lopes, João C. Neves et al.
FineXtrol: Controllable Motion Generation via Fine-Grained Text
Keming Shen, Bizhu Wu, Junliang Chen et al.
FinMathBench: A Formula-Driven Benchmark for Evaluating LLMs’ Math Reasoning Capabilities in Finance
Yi He, Ping Wang, Shiqiang Xiong et al.
FinMMDocR: Benchmarking Financial Multimodal Reasoning with Scenario Awareness, Document Understanding, and Multi-Step Computation
Zichen Tang, Haihong E, Rongjin Li et al.
F-INR: Functional Tensor Decomposition for Implicit Neural Representations
Sai Karthikeya Vemuri, Tim Büchner, Joachim Denzler
FinRpt: Dataset, Evaluation System and LLM-based Multi-agent Framework for Equity Research Report Generation
Song Jin, Shuqi Li, Shukun Zhang et al.
Firing Bits Where It Matters: Spiking-Guided Just Recognizable Distortion Modeling for Machine-Centric Video Coding
Wuyuan Xie, Zhenming Li, Yuwu Lu et al.
FIRM-MoE:Fine-GrainedExpert Decomposition for Resource-Adaptive MoE Inference
Keyu Chen, Qihang Zhou, Bin Qian et al.