Technology ❯Artificial Intelligence ❯Natural Language Processing
ChatGPT GPT-5 Large Language Models Retrieval Augmented Generation OpenAI Transformer Models Clinical Applications Multimodal Models Evaluation Metrics Post-Training Techniques Baidu ERNIE 4.0 Llama 3.3 EXAONE 3.5 DeepSeek-V3 Product Releases Code-Mixing AI Features Ernie 4.5 Ernie X1 LLM GPT-4 OpenELM DolphinGemma Prompt Injection Audio Summaries Arabic Language Models Submissive Behavior Synthetic Data Generation GPT Multi-step Reasoning Gemini Robotics SDK Gemini Nano Reasoning Mechanisms Cost-Quality Trade-offs Hallucination Detection Linguistic Diversity Translation Quality Evaluation Systems Evaluation Techniques Multilingual Models Conversational Recommendation Structured Output Retrieval-Augmented Generation Evaluation Bias Evaluation Logic-Augmented Generation Fundamental Language Model Applications in Software Development BharatGen Initiative Generative Models Avoidance Decoding Optical Character Recognition Historical Language Models Query Generation Optimized Prompts Welsh Language AI Gemini 2.5 Persuasion Techniques Feedback Generation Nemotron-4 4B NIM HTML-to-Markdown Conversion WordLlama Model Releases Multilingual Datasets AI in Elections MobileLLM
The heuristic framework proposes query decomposition and noise filtering to boost QA performance, with findings reported as a preprint.