Hugging Face's logo
Adina Yakefu's picture
221 560 426

Adina Yakefu

AdinaY
teowu's profile picture Glowin's profile picture xds2000's profile picture
·

AI & ML interests

None yet

Recent Activity

posted an update 3 days ago
Ovis2 🔥 a multimodal LLM released by Alibaba AIDC team. https://huggingface.co/collections/AIDC-AI/ovis2-67ab36c7e497429034874464 ✨1B/2B/4B/8B/16B/34B ✨Strong CoT for deeper problem solving ✨Multilingual OCR – Expanded beyond English & Chinese, with better data extraction
posted an update 4 days ago
InspireMusic 🎵🔥 an open music generation framework by Alibaba FunAudio Lab Model: https://huggingface.co/FunAudioLLM/InspireMusic-1.5B-Long Demo: https://huggingface.co/spaces/FunAudioLLM/InspireMusic ✨ Music, songs, audio - ALL IN ONE ✨ High quality audio: 24kHz & 48kHz sampling rates ✨ Long-Form Generation: enables extended audio creation ✨ Efficient Fine-Tuning: precision (BF16, FP16, FP32) with user-friendly scripts
upvoted a collection 4 days ago
Lumina Family
View all activity

Organizations

Hugging Face's profile picture Hugging Face Chinese Localization's profile picture Huggingface Projects's profile picture Blog-explorers's profile picture ICCV2023's profile picture Open LLM Leaderboard's profile picture huggingPartyParis's profile picture Qwen's profile picture Journalists on Hugging Face's profile picture Women on Hugging Face's profile picture Social Post Explorers's profile picture Chinese LLMs on Hugging Face's profile picture Hugging Face for Legal's profile picture

AdinaY's activity

posted an update 3 days ago
view post
Post
2402
Ovis2 🔥 a multimodal LLM released by Alibaba AIDC team.
AIDC-AI/ovis2-67ab36c7e497429034874464
✨1B/2B/4B/8B/16B/34B
✨Strong CoT for deeper problem solving
✨Multilingual OCR – Expanded beyond English & Chinese, with better data extraction
posted an update 4 days ago
view post
Post
3438
InspireMusic 🎵🔥 an open music generation framework by Alibaba FunAudio Lab
Model: FunAudioLLM/InspireMusic-1.5B-Long
Demo: FunAudioLLM/InspireMusic
✨ Music, songs, audio - ALL IN ONE
✨ High quality audio: 24kHz & 48kHz sampling rates
✨ Long-Form Generation: enables extended audio creation
✨ Efficient Fine-Tuning: precision (BF16, FP16, FP32) with user-friendly scripts
  • 1 reply
·
upvoted a collection 4 days ago
updated a collection 4 days ago
liked a model 4 days ago
updated a collection 4 days ago
liked a Space 4 days ago
upvoted a collection 4 days ago
updated a collection 4 days ago
liked a model 4 days ago
upvoted a paper 7 days ago
liked a model 7 days ago
upvoted a collection 9 days ago
upvoted a paper 10 days ago
liked a dataset 10 days ago
liked a model 10 days ago
upvoted a collection 10 days ago
upvoted an article 10 days ago
view article
Article

π0 and π0-FAST: Vision-Language-Action Models for General Robot Control

• 98
upvoted a paper 11 days ago
reacted to lin-tan's post with 🔥 12 days ago
view post
Post
3263
🚀 Excited to share that our paper, "SELP: Generating Safe and Efficient Task Plans for Robot Agents with Large Language Models", has been accepted to #ICRA2025! 🔗 Preprint: https://arxiv.org/pdf/2409.19471

We introduce SELP (Safe Efficient LLM Planner), a novel approach for generating plans that adhere to user-specified constraints while optimizing for time-efficient execution. By leveraging linear temporal logic (LTL) to interpret natural language commands, SELP effectively handles complex commands and long-horizon tasks. 🤖

💡SELP presents three key insights:
1️⃣ Equivalence Voting: Ensures robust translations from natural language instructions into LTL specifications.
2️⃣ Constrained Decoding: Uses the generated LTL formula to guide the autoregressive inference of plans, ensuring the generated plans conform to the LTL.
3️⃣ Domain-Specific Fine-Tuning: Customizes LLMs for specific robotic tasks, boosting both safety and efficiency.

📊 Experiment: Our experiments demonstrate SELP’s effectiveness and generalizability across diverse tasks. In drone navigation, SELP outperforms state-of-the-art LLM planners by 10.8% in safety rate and by 19.8% in plan efficiency. For robot manipulation, SELP achieves a 20.4% improvement in safety rate.

@yiwu @jiang719

#ICRA2025 #LLM #Robotics #Agent #LLMPlanner