Collections
Discover the best community collections!
Collections including paper arxiv:2405.17258
-
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
-
Iterative Reasoning Preference Optimization
Paper • 2404.19733 • Published • 46 -
Better & Faster Large Language Models via Multi-token Prediction
Paper • 2404.19737 • Published • 73 -
ORPO: Monolithic Preference Optimization without Reference Model
Paper • 2403.07691 • Published • 59 -
KAN: Kolmogorov-Arnold Networks
Paper • 2404.19756 • Published • 108
-
Watermarking Makes Language Models Radioactive
Paper • 2402.14904 • Published • 22 -
ChunkAttention: Efficient Self-Attention with Prefix-Aware KV Cache and Two-Phase Partition
Paper • 2402.15220 • Published • 19 -
GPTVQ: The Blessing of Dimensionality for LLM Quantization
Paper • 2402.15319 • Published • 19 -
DiLightNet: Fine-grained Lighting Control for Diffusion-based Image Generation
Paper • 2402.11929 • Published • 9
-
SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention
Paper • 2312.07987 • Published • 40 -
SubGen: Token Generation in Sublinear Time and Memory
Paper • 2402.06082 • Published • 10 -
Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models
Paper • 2402.13064 • Published • 46 -
SaulLM-7B: A pioneering Large Language Model for Law
Paper • 2403.03883 • Published • 74
-
PockEngine: Sparse and Efficient Fine-tuning in a Pocket
Paper • 2310.17752 • Published • 11 -
S-LoRA: Serving Thousands of Concurrent LoRA Adapters
Paper • 2311.03285 • Published • 28 -
Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization
Paper • 2311.06243 • Published • 17 -
Fine-tuning Language Models for Factuality
Paper • 2311.08401 • Published • 28