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ChatGPT Large Language Models GPT-5 Retrieval-Augmented Generation Prompt Engineering Multilingual Models OpenAI Retrieval Augmented Generation Multilingual Reasoning Clinical Applications Small Language Models Arabic Language Models Evaluation Metrics Transformer Models Evaluation Hallucination Detection Multimodal Models Multilingual Datasets Ernie 4.5 Ernie X1 LLM GPT-4 OpenELM DolphinGemma Prompt Injection Audio Summaries Submissive Behavior Synthetic Data Generation GPT Multi-step Reasoning Gemini Robotics SDK Gemini Nano Reasoning Mechanisms Cost-Quality Trade-offs Linguistic Diversity Decoding Processes Translation Quality Evaluation Systems Evaluation Methods Evaluation Techniques Conversational Recommendation Structured Output Bias Evaluation Logic-Augmented Generation Fundamental Language Model Applications in Software Development BharatGen Initiative Generative Models Avoidance Decoding Persuasion Techniques Historical Language Models Query Generation Optimized Prompts Readability Assessment Interactive Systems Welsh Language AI Native Language Identification Gemini 2.5 Personality Assessment Multilingual Evaluation Answer Generation Text Generation Confidence Estimation Token Representations Predictive Uncertainty Conversational AI Multilingualism Temporal Reasoning Multilingual Safeguards Autoregressive Models PsyLLM Code Generation Implications for AGI Long-Context Language Models Explainability Logical Reasoning Mathematical Reasoning Bias in AI Benchmarking Gemma Optical Character Recognition Feedback Generation Nemotron-4 4B NIM HTML-to-Markdown Conversion WordLlama Model Releases AI in Elections MobileLLM Post-Training Techniques Iterative Improvement Baidu ERNIE 4.0 Llama 3.3 EXAONE 3.5 DeepSeek-V3 Product Releases Code-Mixing AI Features
Fresh arXiv results highlight retrieval-induced failures in real datasets, offering open benchmarks plus methods that report measurable robustness gains.
