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BK-Lee authored a paper 6 days ago

MultiVerse: A Multi-Turn Conversation Benchmark for Evaluating Large Vision and Language Models

BK-Lee authored a paper 6 days ago

RefineBench: Evaluating Refinement Capability of Language Models via Checklists

ymoslem authored a paper 9 days ago

Iterative Layer Pruning for Efficient Translation Inference

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mrfakename

posted an update 2 days ago

Post

450

Excited to share that I've joined the Hugging Face Fellows program! 🤗

Looking forward to contributing to & working more closely with the open-source ecosystem - huge thanks to everyone who's supported me on this journey! 🚀

Lin-Chen

authored a paper 6 days ago

DualVLA: Building a Generalizable Embodied Agent via Partial Decoupling of Reasoning and Action

Paper • 2511.22134 • Published 10 days ago • 21

ymoslem

authored a paper 9 days ago

Iterative Layer Pruning for Efficient Translation Inference

Paper • 2510.22763 • Published Oct 26

hyungjoochae

authored a paper 27 days ago

LEGO-Eval: Towards Fine-Grained Evaluation on Synthesizing 3D Embodied Environments with Tool Augmentation

Paper • 2511.03001 • Published Nov 4 • 46

Doubiiu

authored a paper about 1 month ago

PICABench: How Far Are We from Physically Realistic Image Editing?

Paper • 2510.17681 • Published Oct 20 • 62

mrfakename

posted an update about 1 month ago

Post

5971

Trained a model for emotion-controllable TTS based on MiMo audio on LAION's dataset.

Still very early and does have an issue with hallucinating but results seem pretty good so far, given that it is very early into the training run.

Will probably kick off a new run later with some settings tweaked.

Put up a demo here: https://huggingface.co/spaces/mrfakename/EmoAct-MiMo

(Turn 🔊 on to hear audio samples)

5 replies

BestWishYsh

authored 2 papers about 2 months ago

FlashI2V: Fourier-Guided Latent Shifting Prevents Conditional Image Leakage in Image-to-Video Generation

Paper • 2509.25187 • Published Sep 29 • 2

Uniworld-V2: Reinforce Image Editing with Diffusion Negative-aware Finetuning and MLLM Implicit Feedback

Paper • 2510.16888 • Published Oct 19 • 21

vinesmsuic

authored a paper about 2 months ago

EditReward: A Human-Aligned Reward Model for Instruction-Guided Image Editing

Paper • 2509.26346 • Published Sep 30 • 18

ZennyKenny

in zero-gpu-explorers/README about 2 months ago

"Free"?

#66 opened over 1 year ago by

cysjunkatschool

BramVanroy

posted an update about 2 months ago

Post

341

What are currently the best multilingual models with at most 72B parameters? Are Llama 3.3 70B and Qwen 2.5 72B still king?

1 reply

Lin-Chen

authored a paper about 2 months ago

Agentic Jigsaw Interaction Learning for Enhancing Visual Perception and Reasoning in Vision-Language Models

Paper • 2510.01304 • Published Oct 1 • 10

sasha

authored 3 papers about 2 months ago

Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model

Paper • 2211.02001 • Published Nov 3, 2022

Hype, Sustainability, and the Price of the Bigger-is-Better Paradigm in AI

Paper • 2409.14160 • Published Sep 21, 2024 • 3

From Efficiency Gains to Rebound Effects: The Problem of Jevons' Paradox in AI's Polarized Environmental Debate

Paper • 2501.16548 • Published Jan 27

versae

authored a paper 2 months ago

BOE-XSUM: Extreme Summarization in Clear Language of Spanish Legal Decrees and Notifications

Paper • 2509.24908 • Published Sep 29 • 2

ehristoforu

posted an update 3 months ago

Post

2237

🚀Hello from the Project Fluently team!

✨ We are happy to share with you our new universal LLM models based on Qwen3 1.7B and 4B — powerful, multilingual and ready to solve a wide range of problems!

🛠️ We have conducted additional training and carefully merged them to achieve even better results and maximize the potential of the models.

🆓 And most importantly — the models are completely open and free under the Apache-2.0 license!

🔗 Links to repositories:
- FluentlyQwen3-4B: fluently/FluentlyQwen3-4B
- FluentlyQwen3-1.7B: fluently/FluentlyQwen3-1.7B

😍 We will be very glad to hear your feedback and impressions! Your opinion is very important to us!