Yuhang Zang

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upvoted a collection 17 days ago

MM-IFEngine

Collection

Datasets, Benchmark and Checkpoints for MM-IFEngine • 2 items • Updated 17 days ago • 5

upvoted 4 papers about 1 month ago

Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model

Paper • 2504.08685 • Published Apr 11 • 123

MM-IFEngine: Towards Multimodal Instruction Following

Paper • 2504.07957 • Published Apr 10 • 34

Inference-Time Scaling for Generalist Reward Modeling

Paper • 2504.02495 • Published Apr 3 • 54

Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback

Paper • 2503.22230 • Published Mar 28 • 44

upvoted 2 papers 2 months ago

Unified Reward Model for Multimodal Understanding and Generation

Paper • 2503.05236 • Published Mar 7 • 123

Visual-RFT: Visual Reinforcement Fine-Tuning

Paper • 2503.01785 • Published Mar 3 • 78

upvoted 6 papers 3 months ago

OmniAlign-V: Towards Enhanced Alignment of MLLMs with Human Preference

Paper • 2502.18411 • Published Feb 25 • 73

Thus Spake Long-Context Large Language Model

Paper • 2502.17129 • Published Feb 24 • 73

SongGen: A Single Stage Auto-regressive Transformer for Text-to-Song Generation

Paper • 2502.13128 • Published Feb 18 • 42

Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning

Paper • 2502.06781 • Published Feb 10 • 61

Light-A-Video: Training-free Video Relighting via Progressive Light Fusion

Paper • 2502.08590 • Published Feb 12 • 44

VideoRoPE: What Makes for Good Video Rotary Position Embedding?

Paper • 2502.05173 • Published Feb 7 • 65

upvoted 5 papers 4 months ago

InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model

Paper • 2501.12368 • Published Jan 21 • 46

OVO-Bench: How Far is Your Video-LLMs from Real-World Online Video Understanding?

Paper • 2501.05510 • Published Jan 9 • 44

REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models

Paper • 2501.03262 • Published Jan 4 • 99

BoostStep: Boosting mathematical capability of Large Language Models via improved single-step reasoning

Paper • 2501.03226 • Published Jan 6 • 45

Dispider: Enabling Video LLMs with Active Real-Time Interaction via Disentangled Perception, Decision, and Reaction

Paper • 2501.03218 • Published Jan 6 • 37

upvoted a paper 6 months ago

TÜLU 3: Pushing Frontiers in Open Language Model Post-Training

Paper • 2411.15124 • Published Nov 22, 2024 • 63