Metadata-only stubs for the papers cited by the LLM-Wiki Example (AI). Original text is omitted; each links to its public original.
- An Image is Worth 16x16 Words - Transformers for Image Recognition at Scale
- Attention Is All You Need
- BERT - Pre-training of Deep Bidirectional Transformers for Language Understanding
- Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
- DeepSeek-R1 - Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- DeepSeek-V3 Technical Report
- DeepSeek-V3.2 - Pushing the Frontier of Open Large Language Models
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
- FlashAttention - Fast and Memory-Efficient Exact Attention with IO-Awareness
- GLM-4.5 - Agentic, Reasoning, and Coding (ARC) Foundation Models
- GPT-4 Technical Report
- Improving Language Understanding by Generative Pre-Training
- Improving language models by retrieving from trillions of tokens
- Kimi K2 - Open Agentic Intelligence
- Kimi k1.5 - Scaling Reinforcement Learning with LLMs
- LLaMA - Open and Efficient Foundation Language Models
- Language Models are Few-Shot Learners
- Language Models are Unsupervised Multitask Learners
- Learning Transferable Visual Models From Natural Language Supervision
- Llama 2 - Open Foundation and Fine-Tuned Chat Models
- LoRA - Low-Rank Adaptation of Large Language Models
- Mamba - Linear-Time Sequence Modeling with Selective State Spaces
- Mixtral of Experts
- QLoRA - Efficient Finetuning of Quantized LLMs
- Qwen3 Technical Report
- Qwen3-Coder-Next Technical Report
- Retentive Network - A Successor to Transformer for Large Language Models
- Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
- Scaling Laws for Neural Language Models
- The Llama 3 Herd of Models
- Training Compute-Optimal Large Language Models
- Training language models to follow instructions with human feedback
- Transformers are SSMs - Generalized Models and Efficient Algorithms Through Structured State Space Duality
- mHC - Manifold-Constrained Hyper-Connections