List of Large Lanugage Model Papers
- GPT-1: Improving Language Understanding by Generative Pre-Training (2018)
- GPT-2: Language Models are Unsupervised Multitask Learners (2019)
- GPT-3: Language Models are Few-Shot Learners (2020)
- InstructGPT: Training language models to follow instructions with human feedback (2022)
- ChatGPT: Introducing ChatGPT, blog (2022)
- GPT-4: GPT-4 Technical Report (2023)
- Chain-of-Thought: Chain-of-Thought Prompting Elicits Reasoning in Large Language Models (Google, NeurIPS, 2022)
- ReAct: REACT: SYNERGIZING REASONING AND ACTING IN LANGUAGE MODELS (Google, ICLR, 2023)
- Self-Ask: MEASURING AND NARROWING THE COMPOSITIONALITY GAP IN LANGUAGE MODELS (UW, 2023)
- Prompt Tuning: The Power of Scale for Parameter-Efficient Prompt Tuning (Google, EMNLP, 2021)
- Prefix Tuning: Prefix-Tuning: Optimizing Continuous Prompts for Generation (Stanford, IJCNLP, 2021)
- LoRA: LoRA: Low-Rank Adaptation of Large Language Models (Microsoft, ICLR, 2022)
- P-Tuning: P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks (Tsinghua, ACL, 2022)
- P-Tuning v2: P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks (Tsinghua, ACL, 2022)
- AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning (Georgia Tech, ICLR, 2023)
- QLoRA: QLoRA: Efficient Finetuning of Quantized LLMs (UW, Submitted to NeurIPS, 2023)
- BLIP-2: BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models (Salesforce, 2023.01)
- PaLM-E: PaLM-E: An Embodied Multimodal Language Model (Google, 2023.03)
- LLaVA: Visual Instruction Tuning (Microsoft, 2023.04), github
- MiniGPT-4: MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models (KAUST, 2023.04)
- mPLUG-Owl: mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality (Alibaba, 2023.04)
- InstructBLIP: InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning (Salesforce, 2023.05)
- AudioGPT: AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head (ZJU, 2023.04, github)
- SpeechGPT: SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational Abilities (FUDAN, 2023.05, github)
