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Artificial Intelligence

83,018 papers (0 classified directly here)

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Papers (including subtopics)

MNE-SLAM: Multi-Agent Neural SLAM for Mobile Robots CVPR 2025 MobA: Multifaceted Memory-Enhanced Adaptive Planning for Efficient Mobile Task Automation NAACL 2025 MobileA3gent: Training Mobile GUI Agents Using Decentralized Self-Sourced Data from Diverse Users EMNLP 2025 MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data CVPR 2025 MobilePortrait: Real-Time One-Shot Neural Head Avatars on Mobile Devices CVPR 2025 MobiLoRA: Accelerating LoRA-based LLM Inference on Mobile Devices via Context-aware KV Cache Optimization ACL 2025 MobiZO: Enabling Efficient LLM Fine-Tuning at the Edge via Inference Engines EMNLP 2025 MOCHA: Are Code Language Models Robust Against Multi-Turn Malicious Coding Prompts? EMNLP 2025 MockConf: A Student Interpretation Dataset: Analysis, Word- and Span-level Alignment and Baselines ACL 2025 Modal Feature Optimization Network with Prompt for Multimodal Sentiment Analysis COLING 2025 Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models ACL 2025 Modality-Aware Shot Relating and Comparing for Video Scene Detection AAAI 2025 Modality-Fair Preference Optimization for Trustworthy MLLM Alignment IJCAI 2025 Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking IJCAI 2025 Modality-Specialized Synergizers for Interleaved Vision-Language Generalists ICLR 2025 ModalPrompt: Towards Efficient Multimodal Continual Instruction Tuning with Dual-Modality Guided Prompt EMNLP 2025 ModalTune: Fine-Tuning Slide-Level Foundation Models with Multi-Modal Information for Multi-task Learning in Digital Pathology ICCV 2025 MODA: MOdular Duplex Attention for Multimodal Perception, Cognition, and Emotion Understanding ICML 2025 MoDE: Effective Multi-task Parameter Efficient Fine-Tuning with a Mixture of Dyadic Experts NAACL 2025 MoDeGPT: Modular Decomposition for Large Language Model Compression ICLR 2025 Model-Agnostic Knowledge Guided Correction for Improved Neural Surrogate Rollout ICLR 2025 Model-agnostic meta-learners for estimating heterogeneous treatment effects over time ICLR 2025 Model-based Large Language Model Customization as Service EMNLP 2025 ModelCitizens: Representing Community Voices in Online Safety EMNLP 2025 Model Consistency as a Cheap yet Predictive Proxy for LLM Elo Scores EMNLP 2025