人工智能大模型汇总

关于LLM的里程碑论文列表

大型语言模型(LLM)已经席卷了NLP社区和人工智能社区。下面是一个关于大型语言模型的里程碑式论文列表：

日期	关键词	组织	文章	出版
2017-06	Transformers	Google	Attention Is All You Need	NeurIPS
2018-06	GPT 1.0	OpenAI	Improving Language Understanding by Generative Pre-Training
2018-10	BERT	Google	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	NAACL
2019-02	GPT 2.0	OpenAI	Language Models are Unsupervised Multitask Learners
2019-09	Megatron-LM	NVIDIA	Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
2019-10	T5	Google	Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer	JMLR
2019-10	ZeRO	Microsoft	ZeRO: Memory Optimizations Toward Training Trillion Parameter Models	SC
2020-01	Scaling Law	OpenAI	Scaling Laws for Neural Language Models
2020-05	GPT 3.0	OpenAI	Language models are few-shot learners	NeurIPS
2021-01	Switch Transformers	Google	Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity	JMLR
2021-08	Codex	OpenAI	Evaluating Large Language Models Trained on Code
2021-08	Foundation Models	Stanford	On the Opportunities and Risks of Foundation Models
2021-09	FLAN	Google	Finetuned Language Models are Zero-Shot Learners	ICLR
2021-10	T0	HuggingFace et al.	Multitask Prompted Training Enables Zero-Shot Task Generalization	ICLR
2021-12	GLaM	Google	GLaM: Efficient Scaling of Language Models with Mixture-of-Experts	ICML
2021-12	WebGPT	OpenAI	WebGPT: Improving the Factual Accuracy of Language Models through Web Browsing
2021-12	Retro	DeepMind	Improving language models by retrieving from trillions of tokens	ICML
2021-12	Gopher	DeepMind	Scaling Language Models: Methods, Analysis & Insights from Training Gopher
2022-01	COT	Google	Chain-of-Thought Prompting Elicits Reasoning in Large Language Models	NeurIPS
2022-01	LaMDA	Google	LaMDA: Language Models for Dialog Applications
2022-01	Minerva	Google	Solving Quantitative Reasoning Problems with Language Models	NeurIPS
2022-01	Megatron-Turing NLG	Microsoft&NVIDIA	Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model
2022-03	InstructGPT	OpenAI	Training language models to follow instructions with human feedback
2022-04	PaLM	Google	PaLM: Scaling Language Modeling with Pathways
2022-04	Chinchilla	DeepMind	An empirical analysis of compute-optimal large language model training	NeurIPS
2022-05	OPT	Meta	OPT: Open Pre-trained Transformer Language Models
2022-05	UL2	Google	Unifying Language Learning Paradigms
2022-06	Emergent Abilities	Google	Emergent Abilities of Large Language Models	TMLR
2022-06	BIG-bench	Google	Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
2022-06	METALM	Microsoft	Language Models are General-Purpose Interfaces
2022-09	Sparrow	DeepMind	Improving alignment of dialogue agents via targeted human judgements
2022-10	Flan-T5/PaLM	Google	Scaling Instruction-Finetuned Language Models
2022-10	GLM-130B	Tsinghua	GLM-130B: An Open Bilingual Pre-trained Model	ICLR
2022-11	HELM	Stanford	Holistic Evaluation of Language Models
2022-11	BLOOM	BigScience	BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
2022-11	Galactica	Meta	Galactica: A Large Language Model for Science
2022-12	OPT-IML	Meta	OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization
2023-01	Flan 2022 Collection	Google	The Flan Collection: Designing Data and Methods for Effective Instruction Tuning
2023-02	LLaMA	Meta	LLaMA: Open and Efficient Foundation Language Models
2023-02	Kosmos-1	Microsoft	Language Is Not All You Need: Aligning Perception with Language Models
2023-03	PaLM-E	Google	PaLM-E: An Embodied Multimodal Language Model
2023-03	GPT 4	OpenAI	GPT-4 Technical Report
2023-04	Pythia	EleutherAI et al.	Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling	ICML
2023-05	Dromedary	CMU et al.	Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision
2023-05	PaLM 2	Google	PaLM 2 Technical Report

面向代码的开放LLM模型

Language Model	Release Date	Checkpoints	Paper/Blog	Params (B)	Context Length	Licence
SantaCoder	TODO	santacoder	SantaCoder: don’t reach for the stars!	1.1	2048	OpenRAIL-M v1
StarCoder	TODO	starcoder	StarCoder: A State-of-the-Art LLM for Code, StarCoder: May the source be with you!	15	8192	OpenRAIL-M v1
StarChat Alpha	TODO	starchat-alpha	Creating a Coding Assistant with StarCoder	16	8192	OpenRAIL-M v1
Replit Code	TODO	replit-code-v1-3b	Training a SOTA Code LLM in 1 week and Quantifying the Vibes — with Reza Shabani of Replit	2.7	infinity? (ALiBi)	CC BY-SA-4.0
CodeGen2	TODO	codegen2 1B-16B	CodeGen2: Lessons for Training LLMs on Programming and Natural Languages	1 - 16	2048	Apache 2.0

面向预训练的开放LLM数据集

Name	Release Date	Paper/Blog	Dataset	Tokens (T)	License
starcoderdata	2023/05	StarCoder: A State-of-the-Art LLM for Code	starcoderdata	?	Apache 2.0
RedPajama	2023/04	RedPajama, a project to create leading open-source models, starts by reproducing LLaMA training dataset of over 1.2 trillion tokens	RedPajama-Data	1.2	Apache 2.0

面向指令调优的开放LLM数据集

Name	Release Date	Paper/Blog	Dataset	Samples (K)	License
MPT-7B-Instruct	2023/05	Introducing MPT-7B: A New Standard for Open-Source, Commercially Usable LLMs	dolly_hhrlhf	59	CC BY-SA-3.0
databricks-dolly-15k	2023/04	Free Dolly: Introducing the World’s First Truly Open Instruction-Tuned LLM	databricks-dolly-15k	15	CC BY-SA-3.0
OIG (Open Instruction Generalist)	2023/03	THE OIG DATASET	OIG	44,000	Apache 2.0

面向指对齐调优的开放LLM数据集

Name	Release Date	Paper/Blog	Dataset	Samples (K)	License
OpenAssistant Conversations Dataset	2023/04	OpenAssistant Conversations - Democratizing Large Language Model Alignment	oasst1	161	Apache 2.0

开放LLMs的评估工具

• Leaderboard by lmsys.org
• Evals by MosaicML
• Holistic Evaluation of Language Models (HELM)
• LLM-Leaderboard
• TextSynth Server Benchmarks