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Large Language Models Language Models Vision-Language Models Model Evaluation Text Analysis Reasoning Models Conversational Agents Reasoning Techniques Prompt Engineering Vision-Language Processing Multimodal Learning Visual Reasoning Information Retrieval Medical Language Models Literature Review Generation Multimodal Systems Multi-modal Models Evaluation of Models Semantic Retrieval LLM Training and Behavior Diagnostic Systems Text Simplification Data Generation Techniques Video Language Models Interaction Modeling Contextualized Learning Future of LLMs in NLP Video Analysis Zero-shot Learning Test-Time Scaling Graph-based Methods Text Classification Geometric Reasoning Token Consumption Human-Computer Interaction Data Mining Legal NLP Models Vision Language Reasoning Video Large Language Models Text Generation Classification Tasks Retrieval-Augmented Generation Text Processing Visual Question Answering Language Model Steering Speech Language Models Code LLMs Reasoning Systems Knowledge Representation Question Answering Chain of Thought Citation Generation Model Attribution Visual Retrieval-Augmented Generation Referential Expressions Language Sensitivity Image Captioning Neural Machine Translation Vision-Language Tasks Language Model Alignment Vision-Language-Action Models Evaluation Metrics Reasoning Mechanisms Machine Learning Attention Mechanisms Caption Generation Visual Content Processing Uncertainty Estimation Context-Free Grammar Visual Understanding Hallucination Detection Confidence Measurement Multi-modal Understanding Content Generation ChatGPT Machine Communication Document Understanding Speech Translation Systems Chatbots Quality Estimation Multi-Modal Learning Multilingual Evaluation Reinforcement Learning Knowledge Integration
Authors tout efficiency gains alongside accuracy improvements, with claims based on early arXiv releases.
