Collection by
Jun 20
Jun 20
Collections
Discover the best community collections!
Collections including paper arxiv:2405.18047
Collection by
Jul 30
Jul 30
-
Mixture-of-Agents Enhances Large Language Model Capabilities
Paper • 2406.04692 • Published • 54 -
CRAG -- Comprehensive RAG Benchmark
Paper • 2406.04744 • Published • 40 -
Boosting Large-scale Parallel Training Efficiency with C4: A Communication-Driven Approach
Paper • 2406.04594 • Published • 4 -
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
Paper • 2406.04271 • Published • 27
Collection by
29 days ago
29 days ago
-
Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation
Paper • 2406.06525 • Published • 64 -
Husky: A Unified, Open-Source Language Agent for Multi-Step Reasoning
Paper • 2406.06469 • Published • 23 -
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
Paper • 2406.04271 • Published • 27 -
Block Transformer: Global-to-Local Language Modeling for Fast Inference
Paper • 2406.02657 • Published • 36
Collection by
May 29
May 29
Collection by
8 days ago
8 days ago
-
CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data
Paper • 2404.15653 • Published • 26 -
MoDE: CLIP Data Experts via Clustering
Paper • 2404.16030 • Published • 12 -
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning
Paper • 2405.12130 • Published • 45 -
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention
Paper • 2405.12981 • Published • 28
Collection by
Jun 5
Jun 5
-
OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement
Paper • 2402.14658 • Published • 82 -
KAN: Kolmogorov-Arnold Networks
Paper • 2404.19756 • Published • 108 -
Understanding the performance gap between online and offline alignment algorithms
Paper • 2405.08448 • Published • 14 -
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models
Paper • 2405.17428 • Published • 15
Collection by
Jun 16
Jun 16
-
Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping
Paper • 2402.14083 • Published • 43 -
Linear Transformers are Versatile In-Context Learners
Paper • 2402.14180 • Published • 6 -
Training-Free Long-Context Scaling of Large Language Models
Paper • 2402.17463 • Published • 19 -
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 589
Collection by
2 days ago
2 days ago
-
TinyGSM: achieving >80% on GSM8k with small language models
Paper • 2312.09241 • Published • 36 -
ShortGPT: Layers in Large Language Models are More Redundant Than You Expect
Paper • 2403.03853 • Published • 62 -
Gamba: Marry Gaussian Splatting with Mamba for single view 3D reconstruction
Paper • 2403.18795 • Published • 17 -
Diffusion-RWKV: Scaling RWKV-Like Architectures for Diffusion Models
Paper • 2404.04478 • Published • 12