Papers
Firm or Fickle? Evaluating Large Language Models Consistency in Sequential Interactions
Yubo Li, Yidi Miao, Xueying Ding et al.
First-AID: the first Annotation Interface for grounded Dialogues
Stefano Menini, Daniel Russo, Alessio Palmero Aprosio et al.
First-Step Advantage: Importance of Starting Right in Multi-Step Math Reasoning
Kushal Jain, Moritz Miller, Niket Tandon et al.
FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example Generation
Qianli Wang, Nils Feldhus, Simon Ostermann et al.
Fixing Distribution Shifts of LLM Self-Critique via On-Policy Self-Play Training
Rong Bao, Donglei Yu, Kai Fan et al.
FJWU_Squad at SemEval-2025 Task 1: An Idiom Visual Understanding Dataset for Idiom Learning
Maira Khatoon, Arooj Kiyani, Tehmina Farid et al.
FlagEval-Arena: A Side-by-Side Comparative Evaluation Platform for Large Language Models and Text-Driven AIGC
Jing-Shu Zheng, Richeng Xuan, Bowen Qin et al.
FlagEvalMM: A Flexible Framework for Comprehensive Multimodal Model Evaluation
Zheqi He, Yesheng Liu, Jing-Shu Zheng et al.
FLAG-TRADER: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading
Guojun Xiong, Zhiyang Deng, Keyi Wang et al.
FlashAudio: Rectified Flow for Fast and High-Fidelity Text-to-Audio Generation
Huadai Liu, Jialei Wang, Rongjie Huang et al.
FlashBack: Efficient Retrieval-Augmented Language Modeling for Fast Inference
Runheng Liu, Xingchen Xiao, Heyan Huang et al.
Flexora: Flexible Low-Rank Adaptation for Large Language Models
Chenxing Wei, Yao Shu, Ying Tiffany He et al.
FlexRAG: A Flexible and Comprehensive Framework for Retrieval-Augmented Generation
Zhang Zhuocheng, Yang Feng, Min Zhang
Flipping Knowledge Distillation: Leveraging Small Models’ Expertise to Enhance LLMs in Text Matching
Mingzhe Li, Jing Xiang, Qishen Zhang et al.
FloorPlan-LLaMa: Aligning Architects’ Feedback and Domain Knowledge in Architectural Floor Plan Generation
Jun Yin, Pengyu Zeng, Haoyuan Sun et al.
Flow2Code: Evaluating Large Language Models for Flowchart-based Code Generation Capability
Mengliang He, Jiayi Zeng, Yankai Jiang et al.
Flowchart-Based Decision Making with Large Language Models
Yuuki Yamanaka, Hiroshi Takahashi, Tomoya Yamashita
FocalPO: Enhancing Preference Optimizing by Focusing on Correct Preference Rankings
Tong Liu, Xiao Yu, Wenxuan Zhou et al.
Focused-DPO: Enhancing Code Generation Through Focused Preference Optimization on Error-Prone Points
Kechi Zhang, Ge Li, Jia Li et al.
FOCUS: Evaluating Pre-trained Vision-Language Models on Underspecification Reasoning
Kankan Zhou, Eason Lai, Kyriakos Mouratidis et al.
FocusLLM: Precise Understanding of Long Context by Dynamic Condensing
Zhenyu Li, Yike Zhang, Tengyu Pan et al.
Focus on What Matters: Enhancing Medical Vision-Language Models with Automatic Attention Alignment Tuning
Aofei Chang, Le Huang, Alex James Boyd et al.
FoldMoE: Efficient Long Sequence MoE Training via Attention-MoE Pipelining
Guichao Zhu, Lintian Lei, Yuhao Qing et al.
Follow-up Question Generation For Enhanced Patient-Provider Conversations
Joseph Gatto, Parker Seegmiller, Timothy E. Burdick et al.
FoodTaxo: Generating Food Taxonomies with Large Language Models
Pascal Wullschleger, Majid Zarharan, Donnacha Daly et al.