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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

Can Large Language Models Understand Context?

Paper • 2402.00858 • Published Feb 1, 2024 • 22
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1, 2024 • 82
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 145
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30, 2024 • 25

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 145
Orion-14B: Open-source Multilingual Large Language Models

Paper • 2401.12246 • Published Jan 20, 2024 • 12
MambaByte: Token-free Selective State Space Model

Paper • 2401.13660 • Published Jan 24, 2024 • 53
MM-LLMs: Recent Advances in MultiModal Large Language Models

Paper • 2401.13601 • Published Jan 24, 2024 • 45

Paper - Multimodal

Paper related to Multimodal Model - Research for a : Modular, Multimodal, Multi-Stream, Mixture of Expert, Universal Transformer, Matryoshka embedding

about 19 hours ago

Flowing from Words to Pixels: A Framework for Cross-Modality Evolution

Paper • 2412.15213 • Published 19 days ago • 25
No More Adam: Learning Rate Scaling at Initialization is All You Need

Paper • 2412.11768 • Published 22 days ago • 41
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference

Paper • 2412.13663 • Published 20 days ago • 120
Autoregressive Video Generation without Vector Quantization

Paper • 2412.14169 • Published 20 days ago • 14

Rho-1: Not All Tokens Are What You Need

Paper • 2404.07965 • Published Apr 11, 2024 • 88

Addition is All You Need for Energy-efficient Language Models

Paper • 2410.00907 • Published Oct 1, 2024 • 145
Emu3: Next-Token Prediction is All You Need

Paper • 2409.18869 • Published Sep 27, 2024 • 94
An accurate detection is not all you need to combat label noise in web-noisy datasets

Paper • 2407.05528 • Published Jul 8, 2024 • 3
Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP

Paper • 2407.00402 • Published Jun 29, 2024 • 22

DataComp-LM: In search of the next generation of training sets for language models

Paper • 2406.11794 • Published Jun 17, 2024 • 50
Training Language Models on Synthetic Edit Sequences Improves Code Synthesis

Paper • 2410.02749 • Published Oct 3, 2024 • 12
Fewer Truncations Improve Language Modeling

Paper • 2404.10830 • Published Apr 16, 2024 • 3
How to Train Long-Context Language Models (Effectively)

Paper • 2410.02660 • Published Oct 3, 2024 • 2

Associative Recurrent Memory Transformer

Paper • 2407.04841 • Published Jul 5, 2024 • 32
Mixture-of-Agents Enhances Large Language Model Capabilities

Paper • 2406.04692 • Published Jun 7, 2024 • 55
Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Paper • 2405.21060 • Published May 31, 2024 • 64
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Paper • 2404.14219 • Published Apr 22, 2024 • 254

Rho-1: Not All Tokens Are What You Need

Paper • 2404.07965 • Published Apr 11, 2024 • 88
VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time

Paper • 2404.10667 • Published Apr 16, 2024 • 18
Instruction-tuned Language Models are Better Knowledge Learners

Paper • 2402.12847 • Published Feb 20, 2024 • 25
DoRA: Weight-Decomposed Low-Rank Adaptation

Paper • 2402.09353 • Published Feb 14, 2024 • 26

Rho-1: Not All Tokens Are What You Need

Paper • 2404.07965 • Published Apr 11, 2024 • 88

Rho-1: Not All Tokens Are What You Need

Paper • 2404.07965 • Published Apr 11, 2024 • 88
Efficient and Effective Vocabulary Expansion Towards Multilingual Large Language Models

Paper • 2402.14714 • Published Feb 22, 2024 • 4

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