-
Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 24 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 84 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 152 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 24
Collections
Discover the best community collections!
Collections including paper arxiv:2405.12130
-
Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation
Paper • 2406.06525 • Published • 72 -
Husky: A Unified, Open-Source Language Agent for Multi-Step Reasoning
Paper • 2406.06469 • Published • 30 -
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
Paper • 2406.04271 • Published • 31 -
Block Transformer: Global-to-Local Language Modeling for Fast Inference
Paper • 2406.02657 • Published • 42
-
Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding
Paper • 2405.08748 • Published • 25 -
Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection
Paper • 2405.10300 • Published • 31 -
Chameleon: Mixed-Modal Early-Fusion Foundation Models
Paper • 2405.09818 • Published • 131 -
OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework
Paper • 2405.11143 • Published • 39
-
Iterative Reasoning Preference Optimization
Paper • 2404.19733 • Published • 50 -
Better & Faster Large Language Models via Multi-token Prediction
Paper • 2404.19737 • Published • 80 -
ORPO: Monolithic Preference Optimization without Reference Model
Paper • 2403.07691 • Published • 68 -
KAN: Kolmogorov-Arnold Networks
Paper • 2404.19756 • Published • 114
-
Rho-1: Not All Tokens Are What You Need
Paper • 2404.07965 • Published • 94 -
VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time
Paper • 2404.10667 • Published • 20 -
Instruction-tuned Language Models are Better Knowledge Learners
Paper • 2402.12847 • Published • 27 -
DoRA: Weight-Decomposed Low-Rank Adaptation
Paper • 2402.09353 • Published • 28
-
Grokking in the Wild: Data Augmentation for Real-World Multi-Hop Reasoning with Transformers
Paper • 2504.20752 • Published • 93 -
Phi-4-Mini-Reasoning: Exploring the Limits of Small Reasoning Language Models in Math
Paper • 2504.21233 • Published • 49 -
AF Adapter: Continual Pretraining for Building Chinese Biomedical Language Model
Paper • 2211.11363 • Published • 1 -
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning
Paper • 2405.12130 • Published • 51
-
Iterative Reasoning Preference Optimization
Paper • 2404.19733 • Published • 50 -
Towards Modular LLMs by Building and Reusing a Library of LoRAs
Paper • 2405.11157 • Published • 32 -
Dreamer XL: Towards High-Resolution Text-to-3D Generation via Trajectory Score Matching
Paper • 2405.11252 • Published • 17 -
FIFO-Diffusion: Generating Infinite Videos from Text without Training
Paper • 2405.11473 • Published • 58
-
CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data
Paper • 2404.15653 • Published • 30 -
MoDE: CLIP Data Experts via Clustering
Paper • 2404.16030 • Published • 15 -
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning
Paper • 2405.12130 • Published • 51 -
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention
Paper • 2405.12981 • Published • 34
-
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing
Paper • 2404.12253 • Published • 56 -
Time Machine GPT
Paper • 2404.18543 • Published • 2 -
Diffusion for World Modeling: Visual Details Matter in Atari
Paper • 2405.12399 • Published • 31 -
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning
Paper • 2405.12130 • Published • 51
-
Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 24 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 84 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 152 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 24
-
Grokking in the Wild: Data Augmentation for Real-World Multi-Hop Reasoning with Transformers
Paper • 2504.20752 • Published • 93 -
Phi-4-Mini-Reasoning: Exploring the Limits of Small Reasoning Language Models in Math
Paper • 2504.21233 • Published • 49 -
AF Adapter: Continual Pretraining for Building Chinese Biomedical Language Model
Paper • 2211.11363 • Published • 1 -
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning
Paper • 2405.12130 • Published • 51
-
Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation
Paper • 2406.06525 • Published • 72 -
Husky: A Unified, Open-Source Language Agent for Multi-Step Reasoning
Paper • 2406.06469 • Published • 30 -
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
Paper • 2406.04271 • Published • 31 -
Block Transformer: Global-to-Local Language Modeling for Fast Inference
Paper • 2406.02657 • Published • 42
-
Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding
Paper • 2405.08748 • Published • 25 -
Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection
Paper • 2405.10300 • Published • 31 -
Chameleon: Mixed-Modal Early-Fusion Foundation Models
Paper • 2405.09818 • Published • 131 -
OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework
Paper • 2405.11143 • Published • 39
-
Iterative Reasoning Preference Optimization
Paper • 2404.19733 • Published • 50 -
Towards Modular LLMs by Building and Reusing a Library of LoRAs
Paper • 2405.11157 • Published • 32 -
Dreamer XL: Towards High-Resolution Text-to-3D Generation via Trajectory Score Matching
Paper • 2405.11252 • Published • 17 -
FIFO-Diffusion: Generating Infinite Videos from Text without Training
Paper • 2405.11473 • Published • 58
-
Iterative Reasoning Preference Optimization
Paper • 2404.19733 • Published • 50 -
Better & Faster Large Language Models via Multi-token Prediction
Paper • 2404.19737 • Published • 80 -
ORPO: Monolithic Preference Optimization without Reference Model
Paper • 2403.07691 • Published • 68 -
KAN: Kolmogorov-Arnold Networks
Paper • 2404.19756 • Published • 114
-
CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data
Paper • 2404.15653 • Published • 30 -
MoDE: CLIP Data Experts via Clustering
Paper • 2404.16030 • Published • 15 -
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning
Paper • 2405.12130 • Published • 51 -
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention
Paper • 2405.12981 • Published • 34
-
Rho-1: Not All Tokens Are What You Need
Paper • 2404.07965 • Published • 94 -
VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time
Paper • 2404.10667 • Published • 20 -
Instruction-tuned Language Models are Better Knowledge Learners
Paper • 2402.12847 • Published • 27 -
DoRA: Weight-Decomposed Low-Rank Adaptation
Paper • 2402.09353 • Published • 28
-
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing
Paper • 2404.12253 • Published • 56 -
Time Machine GPT
Paper • 2404.18543 • Published • 2 -
Diffusion for World Modeling: Visual Details Matter in Atari
Paper • 2405.12399 • Published • 31 -
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning
Paper • 2405.12130 • Published • 51