Papers
17,973 papers found
FAEDKV: Infinite-Window Fourier Transform for Unbiased KV Cache Compression
Runchao Li, Yao Fu, Mu Sheng et al.
FairCoT: Enhancing Fairness in Text-to-Image Generation via Chain of Thought Reasoning with Multimodal Large Language Models
Zahraa Al Sahili, Ioannis Patras, Matthew Purver
FairGen: Controlling Sensitive Attributes for Fair Generations in Diffusion Models via Adaptive Latent Guidance
Mintong Kang, Vinayshekhar Bannihatti Kumar, Shamik Roy et al.
Fairness in Automatic Speech Recognition Isn’t a One-Size-Fits-All
Hend ElGhazaly, Bahman Mirheidari, Heidi Christensen et al.
Fair or Framed? Political Bias in News Articles Generated by LLMs
Junho Yoo, Youhyun Shin
Fair Text-Attributed Graph Representation Learning
Ruilin Luo, Tianle Gu, Lin Wang et al.
FaithUn: Toward Faithful Forgetting in Language Models by Investigating the Interconnectedness of Knowledge
Nakyeong Yang, Minsung Kim, Seunghyun Yoon 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.
False Friends Are Not Foes: Investigating Vocabulary Overlap in Multilingual Language Models
Julie Kallini, Dan Jurafsky, Christopher Potts et al.
Familiarity-Aware Evidence Compression for Retrieval-Augmented Generation
Dongwon Jung, Qin Liu, Tenghao Huang et al.
FaMTEB: Massive Text Embedding Benchmark in Persian Language
Erfan Zinvandi, Morteza Alikhani, Mehran Sarmadi et al.
Fann or Flop: A Multigenre, Multiera Benchmark for Arabic Poetry Understanding in LLMs
Wafa Al Ghallabi, Ritesh Thawkar, Sara Ghaboura et al.
FANS: Formal Answer Selection for LLM Natural Language Math Reasoning Using Lean4
Jiarui Yao, Ruida Wang, Tong Zhang
FastCuRL: Curriculum Reinforcement Learning with Stage-wise Context Scaling for Efficient Training R1-like Reasoning Models
Mingyang Song, Mao Zheng, Zheng Li et al.
Faster and Better LLMs via Latency-Aware Test-Time Scaling
Zili Wang, Tianyu Zhang, Haoli Bai et al.
Faster In-Context Learning for LLMs via N-Gram Trie Speculative Decoding
Jinglin Chen, Qiwei Li, Zuchao Li et al.
FaStFact: Faster, Stronger Long-Form Factuality Evaluations in LLMs
Yingjia Wan, Haochen Tan, Xiao Zhu et al.
FaST: Feature-aware Sampling and Tuning for Personalized Preference Alignment with Limited Data
Thibaut Thonet, Germán Kruszewski, Jos Rozen et al.
Fast, Not Fancy: Rethinking G2P with Rich Data and Statistical Models
Mahta Fetrat Qharabagh, Zahra Dehghanian, Hamid R. Rabiee
Fast Quiet-STaR: Thinking Without Thought Tokens
Wei Huang, Yizhe Xiong, Xin Ye et al.
FB-Bench: A Fine-Grained Multi-Task Benchmark for Evaluating LLMs’ Responsiveness to Human Feedback
Youquan Li, Miao Zheng, Fan Yang et al.
FC-Attack: Jailbreaking Multimodal Large Language Models via Auto-Generated Flowcharts
Ziyi Zhang, Zhen Sun, Zongmin Zhang et al.
Feature Engineering is not Dead: A Step Towards State of the Art for Arabic Automated Essay Scoring
Marwan Sayed, Sohaila Eltanbouly, May Bashendy et al.
Feature Extraction and Steering for Enhanced Chain-of-Thought Reasoning in Language Models
Zihao Li, Xu Wang, Yuzhe Yang et al.
FedCoT: Federated Chain-of-Thought Distillation for Large Language Models
Tao Fan, Weijing Chen, Yan Kang et al.