Memory Augmented Language Models through Mixture of Word Experts
Paper • 2311.10768 • Published • 19
todo
-
-
System 2 Attention (is something you might need too)
Paper • 2311.11829 • Published • 43 -
Fine-tuning Language Models for Factuality
Paper • 2311.08401 • Published • 30 -
Orca 2: Teaching Small Language Models How to Reason
Paper • 2311.11045 • Published • 77 -
Beyond Surface: Probing LLaMA Across Scales and Layers
Paper • 2312.04333 • Published • 19 -
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models
Paper • 2312.06585 • Published • 29 -
Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision
Paper • 2312.09390 • Published • 33 -
TinyGSM: achieving >80% on GSM8k with small language models
Paper • 2312.09241 • Published • 39 -
Gemini: A Family of Highly Capable Multimodal Models
Paper • 2312.11805 • Published • 49 -
Secrets of RLHF in Large Language Models Part II: Reward Modeling
Paper • 2401.06080 • Published • 27 -
Soaring from 4K to 400K: Extending LLM's Context with Activation Beacon
Paper • 2401.03462 • Published • 29 -
EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty
Paper • 2401.15077 • Published • 20 -
A Comprehensive Study of Knowledge Editing for Large Language Models
Paper • 2401.01286 • Published • 21 -
H2O-Danube-1.8B Technical Report
Paper • 2401.16818 • Published • 18 -
Weaver: Foundation Models for Creative Writing
Paper • 2401.17268 • Published • 45 -
Mixtral of Experts
Paper • 2401.04088 • Published • 160 -
Understanding LLMs: A Comprehensive Overview from Training to Inference
Paper • 2401.02038 • Published • 65 -
Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling
Paper • 2401.16380 • Published • 53 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 153 -
TinyLlama: An Open-Source Small Language Model
Paper • 2401.02385 • Published • 95 -
Improving Text Embeddings with Large Language Models
Paper • 2401.00368 • Published • 82 -
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models
Paper • 2401.01335 • Published • 69 -
The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning
Paper • 2312.01552 • Published • 31 -
LLM Augmented LLMs: Expanding Capabilities through Composition
Paper • 2401.02412 • Published • 38 -
LLM Pruning and Distillation in Practice: The Minitron Approach
Paper • 2408.11796 • Published • 60 -
Building and better understanding vision-language models: insights and future directions
Paper • 2408.12637 • Published • 133