Artificial Intelligence

Length Representations in Large Language Models EMNLP 2025 LensLLM: Unveiling Fine-Tuning Dynamics for LLM Selection ICML 2025 LEO-MINI: An Efficient Multimodal Large Language Model using Conditional Token Reduction and Mixture of Multi-Modal Experts EMNLP 2025 LESA: Learnable LLM Layer Scaling-Up ACL 2025 Less, but Better: Efficient Multilingual Expansion for LLMs via Layer-wise Mixture-of-Experts ACL 2025 Less for More: Enhanced Feedback-aligned Mixed LLMs for Molecule Caption Generation and Fine-Grained NLI Evaluation ACL 2025 Less is More: A Simple yet Effective Token Reduction Method for Efficient Multi-modal LLMs COLING 2025 Less is More: Efficient Image Vectorization with Adaptive Parameterization CVPR 2025 Less is More: Empowering GUI Agent with Context-Aware Simplification ICCV 2025 Less Is More? Examining Fairness in Pruned Large Language Models for Summarising Opinions EMNLP 2025 Less is More: Explainable and Efficient ICD Code Prediction with Clinical Entities ACL 2025 Less is More: Improving Motion Diffusion Models with Sparse Keyframes ICCV 2025 Less is More: The Effectiveness of Compact Typological Language Representations EMNLP 2025 Less Is More: Token Context-Aware Learning for Object Tracking AAAI 2025 Less Mature is More Adaptable for Sentence-level Language Modeling ACL 2025 Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition CVPR 2025 Lessons for Editors of AI Incidents from the AI Incident Database AAAI 2025 Lessons from a User Experience Evaluation of NLP Interfaces NAACL 2025 Lessons Learned in Assessing Student Reflections with LLMs ACL 2025 Less-to-More Generalization: Unlocking More Controllability by In-Context Generation ICCV 2025 Let Humanoids Hike! Integrative Skill Development on Complex Trails CVPR 2025 Let LLM Tell What to Prune and How Much to Prune ICML 2025 Let Modalities Teach Each Other: Modal-Collaborative Knowledge Extraction and Fusion for Multimodal Knowledge Graph Completion NAACL 2025 Let Samples Speak: Mitigating Spurious Correlation by Exploiting the Clusterness of Samples CVPR 2025 Let’s Be Self-generated via Step by Step: A Curriculum Learning Approach to Automated Reasoning with Large Language Models ACL 2025