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Collections including paper arxiv:2404.07965

AI Paper of the Day

A collection of papers that I think are interesting, one added each day

about 15 hours ago

Can Large Language Models Understand Context?

Paper • 2402.00858 • Published Feb 1 • 20
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1 • 75
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 135
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30 • 22

Rho-1: Not All Tokens Are What You Need

Paper • 2404.07965 • Published Apr 11 • 80
VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time

Paper • 2404.10667 • Published Apr 16 • 13
Instruction-tuned Language Models are Better Knowledge Learners

Paper • 2402.12847 • Published Feb 20 • 24
DoRA: Weight-Decomposed Low-Rank Adaptation

Paper • 2402.09353 • Published Feb 14 • 23

Rho-1: Not All Tokens Are What You Need

Paper • 2404.07965 • Published Apr 11 • 80

Rho-1: Not All Tokens Are What You Need

Paper • 2404.07965 • Published Apr 11 • 80
Efficient and Effective Vocabulary Expansion Towards Multilingual Large Language Models

Paper • 2402.14714 • Published Feb 22 • 4

Interesting Papers

Rho-1: Not All Tokens Are What You Need

Paper • 2404.07965 • Published Apr 11 • 80
LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders

Paper • 2404.05961 • Published Apr 9 • 62
Compression Represents Intelligence Linearly

Paper • 2404.09937 • Published Apr 15 • 27
Multi-Head Mixture-of-Experts

Paper • 2404.15045 • Published Apr 23 • 55

Papers - Fine-tuning - Math

Rho-1: Not All Tokens Are What You Need

Paper • 2404.07965 • Published Apr 11 • 80

Papers - Selective Language Modeling vs Causal

Rho-1: Not All Tokens Are What You Need

Paper • 2404.07965 • Published Apr 11 • 80

Papers - University of Xiamen

Rho-1: Not All Tokens Are What You Need

Paper • 2404.07965 • Published Apr 11 • 80

Efficient Pre-training

RecurrentGemma: Moving Past Transformers for Efficient Open Language Models

Paper • 2404.07839 • Published Apr 11 • 40
Stack More Layers Differently: High-Rank Training Through Low-Rank Updates

Paper • 2307.05695 • Published Jul 11, 2023 • 21
Rho-1: Not All Tokens Are What You Need

Paper • 2404.07965 • Published Apr 11 • 80
Pre-training Small Base LMs with Fewer Tokens

Paper • 2404.08634 • Published Apr 12 • 32

JetMoE: Reaching Llama2 Performance with 0.1M Dollars

Paper • 2404.07413 • Published Apr 11 • 32
Rho-1: Not All Tokens Are What You Need

Paper • 2404.07965 • Published Apr 11 • 80
Jamba: A Hybrid Transformer-Mamba Language Model

Paper • 2403.19887 • Published Mar 28 • 99
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models

Paper • 2404.02258 • Published Apr 2 • 102

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