Papers
Fair Summarization: Bridging Quality and Diversity in Extractive Summaries
Sina Bagheri Nezhad, Sayan Bandyapadhyay, Ameeta Agrawal
FAIR-TAT: Improving Model Fairness using Targeted Adversarial Training
Tejaswini Medi, Steffen Jung, Margret Keuper
Fair Text-Attributed Graph Representation Learning
Ruilin Luo, Tianle Gu, Lin Wang et al.
Fair Text Classification via Transferable Representations
Thibaud Leteno, Michael Perrot, Charlotte Laclau et al.
Fair Text-to-Image Diffusion via Fair Mapping
Jia Li, Lijie Hu, Jingfeng Zhang et al.
FairTP: A Prolonged Fairness Framework for Traffic Prediction
Jiangnan Xia, Yu Yang, Jiaxing Shen et al.
Fair Training with Zero Inputs
Wenjie Pan, Jianqing Zhu, Huanqiang Zeng
FaithBench: A Diverse Hallucination Benchmark for Summarization by Modern LLMs
Forrest Sheng Bao, Miaoran Li, Renyi Qu et al.
FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolution
Junyang Chen, Jinshan Pan, Jiangxin Dong
FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows"
Yifei Ming, Senthil Purushwalkam, Shrey Pandit et al.
Faithful and Accurate Self-Attention Attribution for Message Passing Neural Networks via the Computation Tree Viewpoint
Yong-Min Shin, Siqing Li, Xin Cao et al.
Faithful and Robust LLM-Driven Theorem Proving for NLI Explanations
Xin Quan, Marco Valentino, Louise A. Dennis et al.
Faithful Inference Chains Extraction for Fact Verification over Multi-view Heterogeneous Graph with Causal Intervention
Daoqi Chen, Yaxin Li, Zizhong Zhu et al.
FaithfulPersona: Balancing Faithfulness and Personalization in Code Explanations through Self-Critique
Zhuang Luo, Yichuan Li, Zexing Xu et al.
FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation
Qinggang Zhang, Zhishang Xiang, Yilin Xiao et al.
FaithfulSAE: Towards Capturing Faithful Features with Sparse Autoencoders without External Datasets Dependency
Seonglae Cho, Harryn Oh, Donghyun Lee et al.
Faithful Transcription: Leveraging Bible Recordings to Improve ASR for Endangered Languages
Eric Le Ferrand, Cian Mohamed Bashar Hauser, Joshua Hartshorne et al.
Faithful Transcription: Leveraging Bible Recordings to Improve ASR for Endangered Languages
Eric Le Ferrand, Cian Mohamed Bashar Hauser, Joshua Hartshorne et al.
Faithful, Unfaithful or Ambiguous? Multi-Agent Debate with Initial Stance for Summary Evaluation
Mahnaz Koupaee, Jake W. Vincent, Saab Mansour et al.
FaithUn: Toward Faithful Forgetting in Language Models by Investigating the Interconnectedness of Knowledge
Nakyeong Yang, Minsung Kim, Seunghyun Yoon et al.
FakeDiffer: Distributional Disparity Learning on Differentiated Reconstruction for Face Forgery Detection
Bo Wang, Zhao Zhang, Suiyi Zhao et al.
FakeRadar: Probing Forgery Outliers to Detect Unknown Deepfake Videos
Zhaolun Li, Jichang Li, Yinqi Cai et al.
FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models
Zhipei Xu, Xuanyu Zhang, Runyi Li et al.
FakeSV-VLM: Taming VLM for Detecting Fake Short-Video News via Progressive Mixture-Of-Experts Adapter
JunXi Wang, Yaxiong Wang, Lechao Cheng et al.
FALCON: Fair Face Recognition via Local Optimal Feature Normalization
Rouqaiah Al-Refai, Philipp Hempel, Clara Biagi et al.