Zekun Wang (Seeking 25Fall PhD) 🔥 @ZenMoore1
🥷 #LLM #AGI Research Intern @01AI_Yi @hkust @ETH; 💼 Formerly @BAAIBeijing #Langboat; 🔥 Looking for #25Fall PhD! zenmoore.github.io Beijing, China Joined June 2020-
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Finally.. I got 100 citations. 🥰
AutoCrawler A Progressive Understanding Web Agent for Web Crawler Generation Web automation is a significant technique that accomplishes complicated web tasks by automating common web actions, enhancing operational efficiency, and reducing the need for manual intervention.
Are LLMs biased toward themselves? Frontier LLMs give higher scores to their own outputs in self-eval. We find evidence that this bias is caused by LLM's ability to recognize their own outputs This could interfere with safety techniques like reward modeling & constitutional AI
VBench update: We support evaluating Image-to-Video (I2V) models at 𝗩𝗕𝗲𝗻𝗰𝗵-𝗜𝟮𝗩 🖼️ Image Suite: multi-scale, multi-aspect-ratio, comprehensive content variety 📏 Dimensions: video-image consistency, camera motion, video quality, etc. 👨💻 Code: github.com/Vchitect/VBench
New Model Alert! One overlooked ability of multimodal models is their ability to reason over multiple images. Lots of existing LMMs like LLaVA, BLIP, Fuyu, etc can only support single image input. GPT-4v can only accept multiple images prepended to the text. How to enable LMMs…
New Model Alert! One overlooked ability of multimodal models is their ability to reason over multiple images. Lots of existing LMMs like LLaVA, BLIP, Fuyu, etc can only support single image input. GPT-4v can only accept multiple images prepended to the text. How to enable LMMs… https://t.co/6FPxICGRl7
Only true long context language modeing is message-passing via gradient descent (sometimes w/ retrieval)
LLM-Augmented Retrieval: Enhancing Retrieval Models Through Language Models and Doc-Level Embedding Improves the performance of existing retriever models by enriching document embeddings with contextual information. 📝arxiv.org/abs/2404.05825
In text-to-image generation, evaluating how well the generated image matches the prompt is a major challenge. We address this with VQAScore: a SOTA metric that significantly surpasses CLIPScore, PickScore, ImageReward, TIFA, and more! VQAScore works especially well on complex…
[1/n] 🎉🎉🎉 Excited to share our latest work: "The Fine Line: Navigating Large Language Model Pretraining with Down-streaming Capability Analysis"! We delve into the dynamics of LLMs across different scales and domains. 💡Highlights include: 🗺️ Comprehensive Model Evaluation:…
Say hello to Grok-1's new PyTorch+HuggingFace edition! 🚀 314 billion parameters, 3.8x faster inference. Easy to use, open-source, and optimized by Colossal-AI. 🤖 Dive in: #Grok1 #ColossalAI🌟 github.com/hpcaitech/Colo… Download Now: huggingface.co/hpcai-tech/gro…
What are the best practices for remote collaboration? I'm frustrated with the inefficient communication. 1. I have a complete project documentation system, but it seems like no one pays attention to it. 2. We use Slack and WeChat for team communication, but responses are…
Beihang University of China released the tech paper of LlamaFactory🦙🌟 Demo: huggingface.co/spaces/hiyouga… Tech report: huggingface.co/papers/2403.13…
🚀𝐂𝐨𝐝𝐞𝐔𝐥𝐭𝐫𝐚𝐅𝐞𝐞𝐝𝐛𝐚𝐜𝐤: 𝐀𝐧 𝐋𝐋𝐌-𝐚𝐬-𝐚-𝐉𝐮𝐝𝐠𝐞 𝐃𝐚𝐭𝐚𝐬𝐞𝐭 𝐟𝐨𝐫 𝐀𝐥𝐢𝐠𝐧𝐢𝐧𝐠 𝐋𝐚𝐫𝐠𝐞 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐌𝐨𝐝𝐞𝐥𝐬 𝐭𝐨 𝐂𝐨𝐝𝐢𝐧𝐠 𝐏𝐫𝐞𝐟𝐞𝐫𝐞𝐧𝐜𝐞𝐬 @AtonKamanda @sahraouh 📝Paper: arxiv.org/abs/2403.09032 💻Code: github.com/martin-wey/Cod…
🤔 Can we teach LLMs to understand protein sequences? 🧬 Introducing ProtLLM, a versatile cross-modal LLM that bridges the gap between natural language and protein. Paper: arxiv.org/abs/2403.07920 Page: protllm.github.io/project/ 1/🧵
lol 😂😅😅😂
Introducing MetaGPT's Data Interpreter: Open Source and Better "Devin". Data Interpreter has achieved state-of-the-art scores in machine learning, mathematical reasoning, and open-ended tasks, and can analyze stocks, imitate websites, and train models. Data Interpreter is an…
The new e=mc**2
Yi models TECH REPORT just went live! Sharing our humble explorations launching, improving, innovating our base, chat, and vision-language models. Kudos to @01AI_Yi team behind the scenes. Love to hear the feedback from the community! arxiv.org/abs/2403.04652
New!🔥Yi-9B🔥has been open-sourced from @01AI_Yi. It stands out as the top-performing similar-sized language model friendly to developers, excelling in code and math. Welcome to give it a try and share how you solve problems! huggingface.co/01-ai/Yi-9B
Nice work! Knowledge Augmentation + Agent Learning + Self-Training.
Nice work! Knowledge Augmentation + Agent Learning + Self-Training.
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1K Followers 6K Following The European Union AI Act coming into force in 2024 aims to address problems associated with the use, development and/or deployment of AI systems.
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Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Data abs: arxiv.org/abs/2404.14367 project page: understanding-rlhf.github.io code: github.com/Asap7772/under… "On-policy sampling generally improves performance and efficiency" "A negative gradient improves over…
More exciting news today -- Gemini 1.5 Pro result is out! Gemini 1.5 Pro API-0409-preview now achieves #2 on the leaderboard, surpassing #3 GPT4-0125-preview to almost top-1! Gemini shows even stronger performance on longer prompts, in which it ranks joint #1 with the latest…
Congrats @GoogleDeepMind on shipping Gemini 1.5 Pro to public review! Upon capacity & latency testing, we have now brought Gemini 1.5 Pro up to the Arena🤖 Big improvement from Pro 1.0 to 1.5 across the board, and exceptionally strong long context understanding. Come test and…
Only true long context language modeing is message-passing via gradient descent (sometimes w/ retrieval)
Adapting LLaMA Decoder to Vision Transformer This work examines whether decoder-only Transformers such as LLaMA, which were originally designed for large language models (LLMs), can be adapted to the computer vision field. We first "LLaMAfy" a standard ViT step-by-step
[CV] AnyV2V: A Plug-and-Play Framework For Any Video-to-Video Editing Tasks M Ku, C Wei, W Ren, H Yang, W Chen [University of Waterloo & Harmony.AI] (2024) arxiv.org/abs/2403.14468 - AnyV2V is a novel plug-and-play framework for video-to-video editing tasks. It…
[LG] A Survey on Uncertainty Quantification for Deep Learning: An Uncertainty Source Perspective arxiv.org/abs/2302.13425 - DNN models can achieve high accuracy but also make overconfident incorrect predictions, causing issues in high-stake applications like autonomous…
Video editing made easy! We propose AnyV2V to address any video editing tasks without any training. 1. Choose your favorite image editing model to edit the first frame of a video. 2. Use an image-to-video model to propagate the edit results to other frames through feature…
AnyV2V A Plug-and-Play Framework For Any Video-to-Video Editing Tasks Video-to-video editing involves editing a source video along with additional control (such as text prompts, subjects, or styles) to generate a new video that aligns with the source video and the provided
I think easy-to-hard generalization is necessary if we want to train a LLM that can solve problems that human can’t solve. We make one of the earliest efforts towards this goal.
🌟Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision 🌟 arxiv.org/abs/2403.09472 How can we keep improving AI systems when their capabilities surpass those of human supervisors? (1/n)
Beihang University of China released the tech paper of LlamaFactory🦙🌟 Demo: huggingface.co/spaces/hiyouga… Tech report: huggingface.co/papers/2403.13…
@stats_feed 🇯🇵 World's Greatest Japanese Inventions/ Discoveries 🇯🇵 1️⃣ Android Robots 🤖 2️⃣ Flash Memory 💾 3️⃣ Bullet Train 🚅 4️⃣ 3D Printing 🖨 5️⃣ CRISPR 🧬 6️⃣ QR Code 📇 7️⃣ Lithium Ion Battery 🔋 8️⃣ Blue LED Light 🚦 9️⃣ Pocket Calculator 🧮 🔟 Portable EKG 🫀 1️⃣1️⃣ Camera Phone 🤳🏽…
Really excited that our paper "A PhD Student’s🧑🎓 Perspective on Research in NLP in the Era of #LLMs" will be at #COLING2024! We brainstormed 45 topics💡 that students can work on despite the LLMs. Co-led by @OanaIgnatRo @ZhijingJin and @radamihalcea with contributions from many.
“What should I work on?” is a question we hear more & more often from NLP students, during a time when the media rhetoric is that “it’s been all solved” Turns out there are many NLP research areas rich for exploration—here is our answer from 20+ students arxiv.org/abs/2305.12544
Jensen Huang is the new Taylor Swift
Welcome to join the open-source community @grok😉
Thrilled to share our latest work, TAPILOT-CROSSING🚀. It's a leap forward for what LLMs can achieve in Interactive Data Analysis. Highlights: 🎯 1024 human-agent interactions for evaluation, involving long code generation and multi-choice questions. 🎯An economical multi-agent…
Prompt Learning: forcing human beings to fit machines Instruct Learning: forcing machines to fit human beings
Starship will take humanity to Mars
Google Deepmind presents SIMA the first generalist AI agent to follow natural-language instructions in a broad range of 3D virtual environments and video games. It can complete tasks similar to a human, and outperforms an agent trained in just one setting.
Kudos to the Team! Glad to see that it achieves 37.9 on our CMMMU and 36.6 on MMMU, which is amazing! Try out our CMMMU on lmms-lab.github.io and eval.ai/web/challenges…. Let's begin the Chinese MModal Competition!
[1/5] 🚀 Announcing DeepSeek-VL, sota 1.3B and 7B visual-language models! Paper: arxiv.org/abs/2403.05525 GitHub: github.com/deepseek-ai/De… 📚 Diverse training corpus 👯 Hybrid Vision Encoder 🧠 3-stage training strategy 🆓 Totally free for commercial use and fully open-source
Thanks @_akhaliq for sharing our work! Code is here: github.com/pkunlp-icler/F…
An Image is Worth 1/2 Tokens After Layer 2 Plug-and-Play Inference Acceleration for Large Vision-Language Models In this study, we identify the inefficient attention phenomena in Large Vision-Language Models (LVLMs), notably within prominent models like LLaVA-1.5, QwenVL-Chat…
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