Pu Fanyi

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upvoted an article 6 days ago

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Article

SmolVLM Grows Smaller – Introducing the 250M & 500M Models!

Jan 23

• 165

upvoted a paper 6 days ago

SmolDocling: An ultra-compact vision-language model for end-to-end multi-modal document conversion

Paper • 2503.11576 • Published 13 days ago • 75

upvoted a paper about 1 month ago

Fast Video Generation with Sliding Tile Attention

Paper • 2502.04507 • Published Feb 6 • 50

upvoted 2 papers about 2 months ago

SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Paper • 2501.17161 • Published Jan 28 • 116

The N+ Implementation Details of RLHF with PPO: A Case Study on TL;DR Summarization

Paper • 2403.17031 • Published Mar 24, 2024 • 6

upvoted 2 papers 2 months ago

Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos

Paper • 2501.13826 • Published Jan 23 • 25

Fine-Tuning Language Models with Just Forward Passes

Paper • 2305.17333 • Published May 27, 2023 • 3

upvoted 6 papers 3 months ago

Solving math word problems with process- and outcome-based feedback

Paper • 2211.14275 • Published Nov 25, 2022 • 9

2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining

Paper • 2501.00958 • Published Jan 1 • 105

Proximal Policy Optimization Algorithms

Paper • 1707.06347 • Published Jul 20, 2017 • 8

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

Paper • 2305.18290 • Published May 29, 2023 • 55

ORPO: Monolithic Preference Optimization without Reference Model

Paper • 2403.07691 • Published Mar 12, 2024 • 65

The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only

Paper • 2306.01116 • Published Jun 1, 2023 • 34

upvoted 2 papers 4 months ago

Large Multi-modal Models Can Interpret Features in Large Multi-modal Models

Paper • 2411.14982 • Published Nov 22, 2024 • 16

Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution

Paper • 2409.12961 • Published Sep 19, 2024 • 25

upvoted 3 collections 5 months ago

Oryx-1.5

Collection

Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution • 4 items • Updated Jan 15 • 5

Oryx

Collection

Oryx: One Multi-Modal LLM for On-Demand Spatial-Temporal Understanding • 6 items • Updated Dec 11, 2024 • 16

LongVA

Collection

Long Context Transfer From Text To Vision: https://lmms-lab.github.io/posts/longva/ • 5 items • Updated Oct 4, 2024 • 13

upvoted a paper 5 months ago

Quantifying the Carbon Emissions of Machine Learning

Paper • 1910.09700 • Published Oct 21, 2019 • 14