historynews.md

💥 History News

2023

☄️ EgoAlpha releases the TrustGPT focuses on reasoning. Trust the GPT with the strongest reasoning abilities for authentic and reliable answers. You can click here or visit the Playgrounds directly to experience it。

[2023.6.5]

• Paper: Controllable Text-to-Image Generation with GPT-4

[2023.6.4]

• PandaGPT: One model unifies six modalities(Page/Paper)

[2023.6.3]

• Paper: Direct Preference Optimization:Your Language Model is Secretly a Reward Model

[2023.6.2]

• Paper: SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks

[2023.6.1]

• Paper: Generating Images with Multimodal Language Models

[2023.5.31]

• Intel announces the Aurora genAI, which is generative AI model with 1 trillion parameters

• HuotuoGPT, towards Taming Language Model to Be a Doctor(Github/Demo/Paper)

• Paper: Large Language Models Meet NL2Code: A Survey

[2023.5.30]

• Paper: Large Language Models as Tool Makers

• Paper: BiomedGPT: A Unified and Generalist Biomedical Generative Pre-trained Transformer for Vision, Language, and Multimodal Tasks

• Paper: OlaGPT: Empowering LLMs With Human-like Problem-Solving Abilities

[2023.5.29]

• Falcon: based on the 1 trillion token open-source large model, surpassing 65 billion LLaMA, commercially available.

• ToolBench: the open platform for large language models used for training, service, and evaluation of tool learning

• Paper: EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought

[2023.5.28]

• Paper: ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation
• Paper:RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text

[2023.5.27]

• Paper: Gorilla: Large Language Model Connected with Massive APIs

• Paper: ChatCAD+: Towards a Universal and Reliable Interactive CAD using LLMs

• Paper: BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing

[2023.5.26]

• Paper: Iterative Forward Tuning Boosts In-context Learning in Language Models

[2023.5.25]

• Paper: Diversity-Aware Meta Visual Prompting

[2023.5.24]

• Paper:VideoLLM: Modeling Video Sequence with Large Language Models

[2023.5.23]

• Paper:Symbol tuning improves in-context learning in language models
• Paper: PointGPT: Auto-regressively GenerativePre-training from Point Clouds

[2023.5.22]

• Paper: Searching for Needles in a Haystack: On the Role of Incidental Bilingualism in PaLM's Translation Capability

[2023.5.21]

• Paper:Language Models Meet World Models: Embodied Experiences Enhance Language Models

[2023.5.20]

• Paper:AttentionViz: A Global View of Transformer Attention

[2023.5.19]

• OpenAI introducing the ChatGPT APP for IOS
• Paper: VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks

[2023.5.18]

• Paper: StructGPT: A General Framework for Large Language Model to Reason over Structured Data

[2023.5.17]

• Paper: Interpretability at Scale: Identifying Causal Mechanisms in Alpaca

[2023.5.16]

• Paper:MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers

[2023.5.15]

• Paper: ArtGPT-4: Artistic Vision-Language Understanding with Adapter-enhanced MiniGPT-4

[2023.5.14]

• Paper: Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes

[2023.5.13]

• Paper: VPGTrans: Transfer Visual Prompt Generator across LLMs

[2023.5.12]

• Paper: Cap4Video: What Can Auxiliary Captions Do for Text-Video Retrieval?

[2023.5.11]

• Google has released PaLM 2, which improves multiple abilities and offers four versions for selection. (Paper/Page)

• The open-source healthcare large language model NHS-LLM and OpenGPT.

• Paper: Language models can explain neurons in language models

[2023.5.10]

• DetGPT: Detect What You Need via Reasoning (Code/Demo)

• Meta releases a large-scale model called ImageBind that can traverse six senses, and it is now open-source. (Paper/Code)

• HuoTuo: Open Source Chinese Medical Large Model of Harbin Institute of Technology

• Paper: X-LLM: Bootstrapping Advanced Large Language Models by Treating Multi-Modalities as Foreign Languages

[2023.5.9]

• Paper: Transfer Visual Prompt Generator across LLMs 【Code】

[2023.5.8]

• PandaLM: the first large model for automated evaluation.(Code)

• Paper:AutoML-GPT: Automatic Machine Learning with GPT

[2023.5.7]

• Paper: Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision

[2023.5.6]

• IFLYTEK officially releases the LLM named SparkDesk

• OpenAI release the language-to-3D model: Shape.E (Paper/Project Page)

• Paper: Search-in-the-Chain: Towards the Accurate, Credible and Traceable Content Generation for Complex Knowledge-intensive Tasks

[2023.5.5]

• Paper: Don't Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner

[2023.5.4]

• Paper: Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes

[2023.5.3]

• Paper:Transfer Visual Prompt Generator across LLMs

[2023.5.2]

• Customize your own LLMs, stop prompt-tunning: Lamini

• Paper: Unlimiformer: Long-Range Transformers with Unlimited Length Input

[2023.5.1]

• Paper: mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

[2023.4.30]

• Paper: Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond

[2023.4.29]

• Paper: LLM+P: Empowering Large Language Models with Optimal Planning Proficiency

[2023.4.28]

• Paper: Unleashing Infinite-Length Input Capacity for Large-scale Language Models with Self-Controlled Memory System

[2023.4.27]

• AudioGPT: [Project Page/Paper]

• Paper:Answering Questions by Meta-Reasoning over Multiple Chains of Thought

[2023.4.26]

• Paper: WizardLM: Empowering Large Language Models to Follow Complex Instructions

[2023.4.25]

• Google releases the Security AI workbench

• Paper: Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models

[2023.4.24]

• Paper: Improving Grounded Language Understanding in a Collaborative Environment by Interacting with Agents Through Help Feedback

[2023.4.23]

• Paper: Emergent and Predictable Memorization in Large Language Models

[2023.4.22] Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models [Paper/Project]

[2023.4.21]

• Paper:

  Progressive-Hint Prompting Improves Reasoning in Large Language Models

  Pretrained Language Models as Visual Planners for Human Assistance

[2023.4.20]

• Google DeepMind: Bringing together two world-class AI teams

• Paper: Visual Instruction Tuning

[2023.4.19]

• Paper: Towards Robust Prompts on Vision-Language Models

[2023.4.18]

• HuaTuo:Tunning LLaMA Model with chinese medical instructions

• MiniGPT-4 [Project Page/Paper]

• Paper: Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved With Text

[2023.4.17]

• The open source democratizes large language models,OpenAssistant, supports 35 languages, and can use RLHF data for free[Project Page/Code/Paper]

• Paper: Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition

[2023.4.16]

• Paper: AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models

[2023.4.15]

• Paper: CAMEL: Communicative Agents for "Mind" Exploration of Large Scale Language Model Society

• Visual Med-Alpaca: Bridging Modalities in Biomedical Language Models

[2023.4.14]

• Amazon announcing new tools for building with Generative AI

• Paper: ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning

[2023.4.13] Three Amazing Works:

• AutoGPT: An Autonomous GPT-4 Experiment 👉Code👈

• Databricks releases Dolly 2.0, the first open, instruction-following LLM for commercial use

• Microsoft released the DeepSpeed Chat: Own your ChatGPT

[2023.4.12] OpenAGI: When LLM Meets Domain Experts

[2023.4.11] Why think step-by-step? Reasoning emerges from the locality of experience

[2023.4.10] TagGPT: Large Language Models are Zero-shot Multimodal Taggers

[2023.4.9] A new AI model from Meta AI: Segment Anything Model (SAM) (Paper/Code)

[2023.4.8] EleutherAI&Yale et al. proposed a large-scale language model analysis suite that spans training and extension: Pythia (Paper/Code)

[2023.4.7] Stanford releases the 7 billion parameter open-source model Vicuna-7B, which is compact, efficient, but powerful in functionality

[2023.4.6] Effective Theory of Transformers at Initialization

[2023.4.5] REFINER: Reasoning Feedback on Intermediate Representations

[2023.4.4] Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?

[2023.4.3] Self-Refine: Iterative Refinement with Self-Feedback

[2023.4.1] A survey of Large Language Models

[2023.3.31] BloombergGPT: A Large Language Model for Finance

[2023.3.30] GPTEval: NLG Evaluation using GPT-4 with Better Human Alignment

[2023.3.29] LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention

[2023.3.28] ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks

[2023.3.27] Scaling Expert Language Models with Unsupervised Domain Discovery

[2023.3.26] CoLT5: Faster Long-Range Transformers with Conditional Computation

[2023.3.23] OpenAI announces 'Plug-ins' for ChatGPT that enable it to perform actions beyond text.

[2023.3.22] GitHub launches Copilot X, aiming at the future of AI-powered software development.

[2023.3.21] Google Bard is now available in the US and UK, w/ more countries to come.

[2023.3.20] OpenAI’s new paper looks at the economical impact of LLMs+Labor Market.GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models

[2023.3.17] Microsoft 365 Copilot released. Word, Excel, PowerPoint, Outlook powered by LLMs.

[2023.3.16] Baidu announcing the LLM named "文心一言"(ERNIE3.0 + PLATO)

[2023.3.15] Two Breaking News: - Announcing GPT4 by OpenAI from Microsoft. Paper🔗 - Announcing PaLM API by Google.

[2023.3.13] LLaMA has been fine-tuned by Stanford

[2023.3.10] Announcing OpenChatKit by Together

[2023.3.9] GPT-4 is coming next week and it will be multimodal,announced by OpenAI.

[2023.3.8] Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models

[2023.3.7] Larger language models do in-context learning differently

[2023.3.6] Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning