Artificial Intelligence

Looking into User’s Long-term Interests through the Lens of Conservative Evidential Learning ICLR 2025 Looking Inward: Language Models Can Learn About Themselves by Introspection ICLR 2025 Looking to Learn: Token-wise Dynamic Gating for Low-Resource Vision-Language Modelling EMNLP 2025 Look & Mark: Leveraging Radiologist Eye Fixations and Bounding boxes in Multimodal Large Language Models for Chest X-ray Report Generation ACL 2025 LookOut: Real-World Humanoid Egocentric Navigation ICCV 2025 Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models ICML 2025 Looped ReLU MLPs May Be All You Need as Practical Programmable Computers AISTATS 2025 Loose Social-Interaction Recognition in Real-World Therapy Scenarios WACV 2025 LoRACoE: Improving Large Language Model via Composition-based LoRA Expert EMNLP 2025 LoRaDA: Low-Rank Direct Attention Adaptation for Efficient LLM Fine-tuning EMNLP 2025 LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization ICLR 2025 LoRA-Gen: Specializing Large Language Model via Online LoRA Generation ICML 2025 LoRA-MGPO: Mitigating Double Descent in Low-Rank Adaptation via Momentum-Guided Perturbation Optimization EMNLP 2025 LoRA-One: One-Step Full Gradient Could Suffice for Fine-Tuning Large Language Models, Provably and Efficiently ICML 2025 LoRA-PAR: A Flexible Dual-System LoRA Partitioning Approach to Efficient LLM Fine-Tuning EMNLP 2025 LoRA-Pro: Are Low-Rank Adapters Properly Optimized? ICLR 2025 LoRA Recycle: Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAs CVPR 2025 LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models CVPR 2025 LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem EMNLP 2025 LoRA Training Provably Converges to a Low-Rank Global Minimum Or It Fails Loudly (But it Probably Won’t Fail) ICML 2025 LoRA Unlearns More and Retains More (Student Abstract) AAAI 2025 LORD: Large Models Based Opposite Reward Design for Autonomous Driving WACV 2025 LORE: Continual Logit Rewriting Fosters Faithful Generation EMNLP 2025 LoRE-Merging: Exploring Low-Rank Estimation For Large Language Model Merging EMNLP 2025 LoRMA: Low-Rank Multiplicative Adaptation for LLMs ACL 2025