- 
	
	
	
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference
Paper • 2412.13663 • Published • 157 - 
	
	
	
Qwen2.5 Technical Report
Paper • 2412.15115 • Published • 376 - 
	
	
	
Are Your LLMs Capable of Stable Reasoning?
Paper • 2412.13147 • Published • 94 - 
	
	
	
Byte Latent Transformer: Patches Scale Better Than Tokens
Paper • 2412.09871 • Published • 108 
Collections
Discover the best community collections!
Collections including paper arxiv:2412.13147 
						
					
				- 
	
	
	
Video Creation by Demonstration
Paper • 2412.09551 • Published • 9 - 
	
	
	
DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation
Paper • 2412.07589 • Published • 48 - 
	
	
	
Unraveling the Complexity of Memory in RL Agents: an Approach for Classification and Evaluation
Paper • 2412.06531 • Published • 72 - 
	
	
	
APOLLO: SGD-like Memory, AdamW-level Performance
Paper • 2412.05270 • Published • 38 
- 
	
	
	
GATE OpenING: A Comprehensive Benchmark for Judging Open-ended Interleaved Image-Text Generation
Paper • 2411.18499 • Published • 18 - 
	
	
	
VLSBench: Unveiling Visual Leakage in Multimodal Safety
Paper • 2411.19939 • Published • 10 - 
	
	
	
AV-Odyssey Bench: Can Your Multimodal LLMs Really Understand Audio-Visual Information?
Paper • 2412.02611 • Published • 24 - 
	
	
	
U-MATH: A University-Level Benchmark for Evaluating Mathematical Skills in LLMs
Paper • 2412.03205 • Published • 18 
- 
	
	
	
HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems
Paper • 2411.02959 • Published • 70 - 
	
	
	
"Give Me BF16 or Give Me Death"? Accuracy-Performance Trade-Offs in LLM Quantization
Paper • 2411.02355 • Published • 51 - 
	
	
	
CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation Generation
Paper • 2410.23090 • Published • 55 - 
	
	
	
RARe: Retrieval Augmented Retrieval with In-Context Examples
Paper • 2410.20088 • Published • 4 
- 
	
	
	
LinFusion: 1 GPU, 1 Minute, 16K Image
Paper • 2409.02097 • Published • 34 - 
	
	
	
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion
Paper • 2409.11406 • Published • 27 - 
	
	
	
Diffusion Models Are Real-Time Game Engines
Paper • 2408.14837 • Published • 126 - 
	
	
	
Segment Anything with Multiple Modalities
Paper • 2408.09085 • Published • 22 
- 
	
	
	
STaR: Bootstrapping Reasoning With Reasoning
Paper • 2203.14465 • Published • 9 - 
	
	
	
Let's Verify Step by Step
Paper • 2305.20050 • Published • 11 - 
	
	
	
Training Large Language Models to Reason in a Continuous Latent Space
Paper • 2412.06769 • Published • 89 - 
	
	
	
Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions
Paper • 2411.14405 • Published • 61 
- 
	
	
	
				gradientai/Llama-3-8B-Instruct-Gradient-1048k
Text Generation • 8B • Updated • 13.9k • 678 - 
	
	
	
Are Your LLMs Capable of Stable Reasoning?
Paper • 2412.13147 • Published • 94 - 
	
	
	
RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation
Paper • 2412.11919 • Published • 36 - 
	
	
	
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs
Paper • 2412.18925 • Published • 104 
- 
	
	
	
Meta-Learning a Dynamical Language Model
Paper • 1803.10631 • Published • 1 - 
	
	
	
TLDR: Token Loss Dynamic Reweighting for Reducing Repetitive Utterance Generation
Paper • 2003.11963 • Published - 
	
	
	
BigScience: A Case Study in the Social Construction of a Multilingual Large Language Model
Paper • 2212.04960 • Published • 1 - 
	
	
	
Continuous Learning in a Hierarchical Multiscale Neural Network
Paper • 1805.05758 • Published • 2 
- 
	
	
	
RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval
Paper • 2409.10516 • Published • 43 - 
	
	
	
Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse
Paper • 2409.11242 • Published • 7 - 
	
	
	
Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models
Paper • 2409.11136 • Published • 23 - 
	
	
	
On the Diagram of Thought
Paper • 2409.10038 • Published • 14 
- 
	
	
	
Compression Represents Intelligence Linearly
Paper • 2404.09937 • Published • 28 - 
	
	
	
MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies
Paper • 2404.06395 • Published • 24 - 
	
	
	
Long-context LLMs Struggle with Long In-context Learning
Paper • 2404.02060 • Published • 37 - 
	
	
	
Are large language models superhuman chemists?
Paper • 2404.01475 • Published • 19 
- 
	
	
	
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference
Paper • 2412.13663 • Published • 157 - 
	
	
	
Qwen2.5 Technical Report
Paper • 2412.15115 • Published • 376 - 
	
	
	
Are Your LLMs Capable of Stable Reasoning?
Paper • 2412.13147 • Published • 94 - 
	
	
	
Byte Latent Transformer: Patches Scale Better Than Tokens
Paper • 2412.09871 • Published • 108 
- 
	
	
	
STaR: Bootstrapping Reasoning With Reasoning
Paper • 2203.14465 • Published • 9 - 
	
	
	
Let's Verify Step by Step
Paper • 2305.20050 • Published • 11 - 
	
	
	
Training Large Language Models to Reason in a Continuous Latent Space
Paper • 2412.06769 • Published • 89 - 
	
	
	
Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions
Paper • 2411.14405 • Published • 61 
- 
	
	
	
Video Creation by Demonstration
Paper • 2412.09551 • Published • 9 - 
	
	
	
DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation
Paper • 2412.07589 • Published • 48 - 
	
	
	
Unraveling the Complexity of Memory in RL Agents: an Approach for Classification and Evaluation
Paper • 2412.06531 • Published • 72 - 
	
	
	
APOLLO: SGD-like Memory, AdamW-level Performance
Paper • 2412.05270 • Published • 38 
- 
	
	
	
				gradientai/Llama-3-8B-Instruct-Gradient-1048k
Text Generation • 8B • Updated • 13.9k • 678 - 
	
	
	
Are Your LLMs Capable of Stable Reasoning?
Paper • 2412.13147 • Published • 94 - 
	
	
	
RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation
Paper • 2412.11919 • Published • 36 - 
	
	
	
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs
Paper • 2412.18925 • Published • 104 
- 
	
	
	
GATE OpenING: A Comprehensive Benchmark for Judging Open-ended Interleaved Image-Text Generation
Paper • 2411.18499 • Published • 18 - 
	
	
	
VLSBench: Unveiling Visual Leakage in Multimodal Safety
Paper • 2411.19939 • Published • 10 - 
	
	
	
AV-Odyssey Bench: Can Your Multimodal LLMs Really Understand Audio-Visual Information?
Paper • 2412.02611 • Published • 24 - 
	
	
	
U-MATH: A University-Level Benchmark for Evaluating Mathematical Skills in LLMs
Paper • 2412.03205 • Published • 18 
- 
	
	
	
Meta-Learning a Dynamical Language Model
Paper • 1803.10631 • Published • 1 - 
	
	
	
TLDR: Token Loss Dynamic Reweighting for Reducing Repetitive Utterance Generation
Paper • 2003.11963 • Published - 
	
	
	
BigScience: A Case Study in the Social Construction of a Multilingual Large Language Model
Paper • 2212.04960 • Published • 1 - 
	
	
	
Continuous Learning in a Hierarchical Multiscale Neural Network
Paper • 1805.05758 • Published • 2 
- 
	
	
	
HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems
Paper • 2411.02959 • Published • 70 - 
	
	
	
"Give Me BF16 or Give Me Death"? Accuracy-Performance Trade-Offs in LLM Quantization
Paper • 2411.02355 • Published • 51 - 
	
	
	
CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation Generation
Paper • 2410.23090 • Published • 55 - 
	
	
	
RARe: Retrieval Augmented Retrieval with In-Context Examples
Paper • 2410.20088 • Published • 4 
- 
	
	
	
RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval
Paper • 2409.10516 • Published • 43 - 
	
	
	
Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse
Paper • 2409.11242 • Published • 7 - 
	
	
	
Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models
Paper • 2409.11136 • Published • 23 - 
	
	
	
On the Diagram of Thought
Paper • 2409.10038 • Published • 14 
- 
	
	
	
LinFusion: 1 GPU, 1 Minute, 16K Image
Paper • 2409.02097 • Published • 34 - 
	
	
	
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion
Paper • 2409.11406 • Published • 27 - 
	
	
	
Diffusion Models Are Real-Time Game Engines
Paper • 2408.14837 • Published • 126 - 
	
	
	
Segment Anything with Multiple Modalities
Paper • 2408.09085 • Published • 22 
- 
	
	
	
Compression Represents Intelligence Linearly
Paper • 2404.09937 • Published • 28 - 
	
	
	
MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies
Paper • 2404.06395 • Published • 24 - 
	
	
	
Long-context LLMs Struggle with Long In-context Learning
Paper • 2404.02060 • Published • 37 - 
	
	
	
Are large language models superhuman chemists?
Paper • 2404.01475 • Published • 19