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Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering
Paper • 2411.11504 • Published • 20 -
Top-nσ: Not All Logits Are You Need
Paper • 2411.07641 • Published • 20 -
Adaptive Decoding via Latent Preference Optimization
Paper • 2411.09661 • Published • 10 -
When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context Training
Paper • 2411.13476 • Published • 15
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Collections including paper arxiv:2501.08313
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Story-Adapter: A Training-free Iterative Framework for Long Story Visualization
Paper • 2410.06244 • Published • 19 -
Towards Best Practices for Open Datasets for LLM Training
Paper • 2501.08365 • Published • 50 -
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 269
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M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding
Paper • 2411.04952 • Published • 28 -
Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion Models
Paper • 2411.05005 • Published • 13 -
M3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark for Evaluating Foundation Models
Paper • 2411.04075 • Published • 16 -
Self-Consistency Preference Optimization
Paper • 2411.04109 • Published • 17
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StdGEN: Semantic-Decomposed 3D Character Generation from Single Images
Paper • 2411.05738 • Published • 14 -
A Pointer Network-based Approach for Joint Extraction and Detection of Multi-Label Multi-Class Intents
Paper • 2410.22476 • Published • 25 -
OS-ATLAS: A Foundation Action Model for Generalist GUI Agents
Paper • 2410.23218 • Published • 46 -
Training-free Regional Prompting for Diffusion Transformers
Paper • 2411.02395 • Published • 25
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Differential Transformer
Paper • 2410.05258 • Published • 169 -
PaliGemma 2: A Family of Versatile VLMs for Transfer
Paper • 2412.03555 • Published • 124 -
VisionZip: Longer is Better but Not Necessary in Vision Language Models
Paper • 2412.04467 • Published • 105 -
o1-Coder: an o1 Replication for Coding
Paper • 2412.00154 • Published • 43
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Selective Attention Improves Transformer
Paper • 2410.02703 • Published • 24 -
Differential Transformer
Paper • 2410.05258 • Published • 169 -
TidalDecode: Fast and Accurate LLM Decoding with Position Persistent Sparse Attention
Paper • 2410.05076 • Published • 8 -
SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs
Paper • 2410.13276 • Published • 26
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Prithvi WxC: Foundation Model for Weather and Climate
Paper • 2409.13598 • Published • 41 -
TurtleBench: Evaluating Top Language Models via Real-World Yes/No Puzzles
Paper • 2410.05262 • Published • 9 -
Ichigo: Mixed-Modal Early-Fusion Realtime Voice Assistant
Paper • 2410.15316 • Published • 10
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LinFusion: 1 GPU, 1 Minute, 16K Image
Paper • 2409.02097 • Published • 33 -
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion
Paper • 2409.11406 • Published • 26 -
Diffusion Models Are Real-Time Game Engines
Paper • 2408.14837 • Published • 123 -
Segment Anything with Multiple Modalities
Paper • 2408.09085 • Published • 22
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LongVILA: Scaling Long-Context Visual Language Models for Long Videos
Paper • 2408.10188 • Published • 51 -
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models
Paper • 2408.08872 • Published • 98 -
Building and better understanding vision-language models: insights and future directions
Paper • 2408.12637 • Published • 124 -
Show-o: One Single Transformer to Unify Multimodal Understanding and Generation
Paper • 2408.12528 • Published • 51
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MambaVision: A Hybrid Mamba-Transformer Vision Backbone
Paper • 2407.08083 • Published • 28 -
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model
Paper • 2408.11039 • Published • 58 -
The Mamba in the Llama: Distilling and Accelerating Hybrid Models
Paper • 2408.15237 • Published • 39 -
Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think
Paper • 2409.11355 • Published • 29