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How Far Are We from Intelligent Visual Deductive Reasoning?
Paper • 2403.04732 • Published • 18 -
MoAI: Mixture of All Intelligence for Large Language and Vision Models
Paper • 2403.07508 • Published • 75 -
DragAnything: Motion Control for Anything using Entity Representation
Paper • 2403.07420 • Published • 12 -
Learning and Leveraging World Models in Visual Representation Learning
Paper • 2403.00504 • Published • 30
Collections
Discover the best community collections!
Collections including paper arxiv:2404.07965
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AutoNumerics-Zero: Automated Discovery of State-of-the-Art Mathematical Functions
Paper • 2312.08472 • Published • 2 -
MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?
Paper • 2403.14624 • Published • 50 -
ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline
Paper • 2404.02893 • Published • 20 -
Rho-1: Not All Tokens Are What You Need
Paper • 2404.07965 • Published • 83
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GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
Paper • 2403.03507 • Published • 182 -
RAFT: Adapting Language Model to Domain Specific RAG
Paper • 2403.10131 • Published • 66 -
LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models
Paper • 2403.13372 • Published • 60 -
InternLM2 Technical Report
Paper • 2403.17297 • Published • 28
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The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 594 -
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
Paper • 2403.03507 • Published • 182 -
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Paper • 2402.19427 • Published • 52 -
ResLoRA: Identity Residual Mapping in Low-Rank Adaption
Paper • 2402.18039 • Published • 11
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Ultralytics/YOLOv8
Object Detection • Updated • 140 -
YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
Paper • 2402.13616 • Published • 45 -
Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild
Paper • 1906.02569 • Published -
SpeechAlign: a Framework for Speech Translation Alignment Evaluation
Paper • 2309.11585 • Published
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How to Train Data-Efficient LLMs
Paper • 2402.09668 • Published • 38 -
LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement
Paper • 2403.15042 • Published • 24 -
MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets
Paper • 2403.03194 • Published • 12 -
Orca-Math: Unlocking the potential of SLMs in Grade School Math
Paper • 2402.14830 • Published • 24
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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 21 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 79 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 142 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
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World Model on Million-Length Video And Language With RingAttention
Paper • 2402.08268 • Published • 36 -
Improving Text Embeddings with Large Language Models
Paper • 2401.00368 • Published • 79 -
Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 99 -
FiT: Flexible Vision Transformer for Diffusion Model
Paper • 2402.12376 • Published • 48
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Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads
Paper • 2401.10774 • Published • 53 -
APAR: LLMs Can Do Auto-Parallel Auto-Regressive Decoding
Paper • 2401.06761 • Published • 1 -
Infinite-LLM: Efficient LLM Service for Long Context with DistAttention and Distributed KVCache
Paper • 2401.02669 • Published • 14 -
MambaByte: Token-free Selective State Space Model
Paper • 2401.13660 • Published • 49