large language model

Mixture of Scales: Memory-Efficient Token-Adaptive Binarization for Large Language Models NeurIPS 2024 MKGL: Mastery of a Three-Word Language NeurIPS 2024 MLBMIKABR at “Discharge Me!”: Concept Based Clinical Text Description Generation ACL 2024 MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks EACL 2024 MLInitiative@WILDRE7: Hybrid Approaches with Large Language Models for Enhanced Sentiment Analysis in Code-Switched and Code-Mixed Texts COLING 2024 MLissard: Multilingual Long and Simple Sequential Reasoning Benchmarks EMNLP 2024 MLT-DR: Multi-Lingual/Task Demonstration RetrievalAn Attempt towards Generalized Retriever for In-Context Learning EMNLP 2024 MM-ChatAlign: A Novel Multimodal Reasoning Framework based on Large Language Models for Entity Alignment EMNLP 2024 MMLU-SR: A Benchmark for Stress-Testing Reasoning Capability of Large Language Models EMNLP 2024 MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI CVPR 2024 MM-Narrator: Narrating Long-form Videos with Multimodal In-Context Learning CVPR 2024 MMScan: A Multi-Modal 3D Scene Dataset with Hierarchical Grounded Language Annotations NeurIPS 2024 MMToM-QA: Multimodal Theory of Mind Question Answering ACL 2024 Mobile-Agent-v2: Mobile Device Operation Assistant with Effective Navigation via Multi-Agent Collaboration NeurIPS 2024 Mobile-Bench: An Evaluation Benchmark for LLM-based Mobile Agents ACL 2024 Mobility-LLM: Learning Visiting Intentions and Travel Preference from Human Mobility Data with Large Language Models NeurIPS 2024 Modal-adaptive Knowledge-enhanced Graph-based Financial Prediction from Monetary Policy Conference Calls with LLM COLING 2024 Modality-Aware Integration with Large Language Models for Knowledge-Based Visual Question Answering ACL 2024 Model-based Preference Optimization in Abstractive Summarization without Human Feedback EMNLP 2024 Model Editing at Scale leads to Gradual and Catastrophic Forgetting ACL 2024 Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue EMNLP 2024 Modeling Collaborator: Enabling Subjective Vision Classification With Minimal Human Effort via LLM Tool-Use CVPR 2024 Modeling Human Subjectivity in LLMs Using Explicit and Implicit Human Factors in Personas EMNLP 2024 Modeling Uncertainty and Using Post-fusion as Fallback Improves Retrieval Augmented Generation with LLMs ACL 2024 Modeling User Preferences with Automatic Metrics: Creating a High-Quality Preference Dataset for Machine Translation EMNLP 2024