Application Areas

Learning with Selectively Labeled Data from Multiple Decision-makers ICML 2025 LEARN: Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application AAAI 2025 LECTURE4ALL: A Lightweight Approach to Precise Timestamp Detection in Online Lecture Videos ACL 2025 LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-Disjoint ACL 2025 Lego Sketch: A Scalable Memory-augmented Neural Network for Sketching Data Streams ICML 2025 LegoSLM: Connecting LLM with Speech Encoder using CTC Posteriors EMNLP 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 Can be More: An Empirical Evaluation of Small and Large Language Models for Sentence-level Claim Detection 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 Model Merging with Binary Task Switch CVPR 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 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 Less Static, More Private: Towards Transferable Privacy-Preserving Action Recognition by Generative Decoupled Learning ICCV 2025 Let LLM Tell What to Prune and How Much to Prune ICML 2025 Let Me Grok for You: Accelerating Grokking via Embedding Transfer from a Weaker Model ICLR 2025 Let Samples Speak: Mitigating Spurious Correlation by Exploiting the Clusterness of Samples CVPR 2025 Let’s Focus on Neuron: Neuron-Level Supervised Fine-tuning for Large Language Model COLING 2025 Let’s Fuse Step by Step: A Generative Fusion Decoding Algorithm with LLMs for Robust and Instruction-Aware ASR and OCR ACL 2025 Let’s Group: A Plug-and-Play SubGraph Learning Method for Memory-Efficient Spatio-Temporal Graph Modeling IJCAI 2025 Let The Jury Decide: Fair Demonstration Selection for In-Context Learning through Incremental Greedy Evaluation ACL 2025 Leveraging Anatomical Consistency for Multi-Object Detection in Ultrasound Images via Source-free Unsupervised Domain Adaptation AAAI 2025