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Collections including paper arxiv:2405.18047

Mixture-of-Agents Enhances Large Language Model Capabilities

Paper • 2406.04692 • Published Jun 7 • 55
CRAG -- Comprehensive RAG Benchmark

Paper • 2406.04744 • Published Jun 7 • 41
Boosting Large-scale Parallel Training Efficiency with C4: A Communication-Driven Approach

Paper • 2406.04594 • Published Jun 7 • 4
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models

Paper • 2406.04271 • Published Jun 6 • 27

Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Paper • 2406.06525 • Published Jun 10 • 64
Husky: A Unified, Open-Source Language Agent for Multi-Step Reasoning

Paper • 2406.06469 • Published Jun 10 • 23
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models

Paper • 2406.04271 • Published Jun 6 • 27
Block Transformer: Global-to-Local Language Modeling for Fast Inference

Paper • 2406.02657 • Published Jun 4 • 36

computationAcceleration

2BP: 2-Stage Backpropagation

Paper • 2405.18047 • Published May 28 • 23

about 3 hours ago

CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data

Paper • 2404.15653 • Published Apr 24 • 26
MoDE: CLIP Data Experts via Clustering

Paper • 2404.16030 • Published Apr 24 • 12
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning

Paper • 2405.12130 • Published May 20 • 45
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention

Paper • 2405.12981 • Published May 21 • 28

OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement

Paper • 2402.14658 • Published Feb 22 • 82
KAN: Kolmogorov-Arnold Networks

Paper • 2404.19756 • Published Apr 30 • 108
Understanding the performance gap between online and offline alignment algorithms

Paper • 2405.08448 • Published May 14 • 14
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

Paper • 2405.17428 • Published May 27 • 16

papaer selecting

Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping

Paper • 2402.14083 • Published Feb 21 • 47
Linear Transformers are Versatile In-Context Learners

Paper • 2402.14180 • Published Feb 21 • 6
Training-Free Long-Context Scaling of Large Language Models

Paper • 2402.17463 • Published Feb 27 • 19
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27 • 602

23\ Info - pages

TinyGSM: achieving >80% on GSM8k with small language models

Paper • 2312.09241 • Published Dec 14, 2023 • 37
ShortGPT: Layers in Large Language Models are More Redundant Than You Expect

Paper • 2403.03853 • Published Mar 6 • 62
Gamba: Marry Gaussian Splatting with Mamba for single view 3D reconstruction

Paper • 2403.18795 • Published Mar 27 • 18
Diffusion-RWKV: Scaling RWKV-Like Architectures for Diffusion Models

Paper • 2404.04478 • Published Apr 6 • 12

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