Artificial Intelligence

FastPoint: Accelerating 3D Point Cloud Model Inference via Sample Point Distance Prediction ICCV 2025 Fast Think-on-Graph: Wider, Deeper and Faster Reasoning of Large Language Model on Knowledge Graph AAAI 2025 Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks AAAI 2025 FastVAR: Linear Visual Autoregressive Modeling via Cached Token Pruning ICCV 2025 FastVLM: Efficient Vision Encoding for Vision Language Models CVPR 2025 FastVLM: Self-Speculative Decoding for Fast Vision-Language Model Inference IJCNLP 2025 FATE: Feature-Adapted Parameter Tuning for Vision-Language Models AAAI 2025 Fathom: A Fast and Modular RAG Pipeline for Fact-Checking ACL 2025 Fat-to-Thin Policy Optimization: Offline Reinforcement Learning with Sparse Policies ICLR 2025 FaVe: Factored and Verified Search Rationale for Long-form Answer ACL 2025 FaVoR: Features via Voxel Rendering for Camera Relocalization WACV 2025 FB-Bench: A Fine-Grained Multi-Task Benchmark for Evaluating LLMs’ Responsiveness to Human Feedback EMNLP 2025 F-Bench: Rethinking Human Preference Evaluation Metrics for Benchmarking Face Generation, Customization, and Restoration ICCV 2025 FBQuant: FeedBack Quantization for Large Language Models IJCAI 2025 FB-RAG: Improving RAG with Forward and Backward Lookup IJCNLP 2025 FBRT-YOLO: Faster and Better for Real-Time Aerial Image Detection AAAI 2025 FC-Attack: Jailbreaking Multimodal Large Language Models via Auto-Generated Flowcharts EMNLP 2025 FCMR: Robust Evaluation of Financial Cross-Modal Multi-Hop Reasoning ACL 2025 FCOM: A Federated Collaborative Online Monitoring Framework via Representation Learning AAAI 2025 FD-Bench: A Full-Duplex Benchmarking Pipeline Designed for Full Duplex Spoken Dialogue Systems Interspeech 2025 FDPT: Federated Discrete Prompt Tuning for Black-Box Visual-Language Models ICCV 2025 FEA-Bench: A Benchmark for Evaluating Repository-Level Code Generation for Feature Implementation ACL 2025 Fearful Falcons and Angry Llamas: Emotion Category Annotations of Arguments by Humans and LLMs NAACL 2025 Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities WACV 2025 Feasible Learning AISTATS 2025