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Collections including paper arxiv:2411.04330

Scaling Literature

Collection of Scaling Law Papers

Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Paper • 2408.03314 • Published Aug 6, 2024 • 63
Training Compute-Optimal Large Language Models

Paper • 2203.15556 • Published Mar 29, 2022 • 11
Scaling Laws for Precision

Paper • 2411.04330 • Published Nov 7, 2024 • 8
Transcending Scaling Laws with 0.1% Extra Compute

Paper • 2210.11399 • Published Oct 20, 2022

Paper - LLM Laws

Scaling Laws for Precision

Paper • 2411.04330 • Published Nov 7, 2024 • 8
Measuring AI Ability to Complete Long Tasks

Paper • 2503.14499 • Published Mar 18 • 15

KAN: Kolmogorov-Arnold Networks

Paper • 2404.19756 • Published Apr 30, 2024 • 115
The Platonic Representation Hypothesis

Paper • 2405.07987 • Published May 13, 2024 • 3
The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of Inductive Biases in Machine Learning

Paper • 2304.05366 • Published Apr 11, 2023 • 1
Explaining NonLinear Classification Decisions with Deep Taylor Decomposition

Paper • 1512.02479 • Published Dec 8, 2015 • 1

Papers - Quantization

QLoRA: Efficient Finetuning of Quantized LLMs

Paper • 2305.14314 • Published May 23, 2023 • 56
EfficientQAT: Efficient Quantization-Aware Training for Large Language Models

Paper • 2407.11062 • Published Jul 10, 2024 • 10
Spectra: A Comprehensive Study of Ternary, Quantized, and FP16 Language Models

Paper • 2407.12327 • Published Jul 17, 2024 • 79
BitNet a4.8: 4-bit Activations for 1-bit LLMs

Paper • 2411.04965 • Published Nov 7, 2024 • 69

Papers - Training

SELF: Language-Driven Self-Evolution for Large Language Model

Paper • 2310.00533 • Published Oct 1, 2023 • 2
GrowLength: Accelerating LLMs Pretraining by Progressively Growing Training Length

Paper • 2310.00576 • Published Oct 1, 2023 • 2
A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity

Paper • 2305.13169 • Published May 22, 2023 • 3
Transformers Can Achieve Length Generalization But Not Robustly

Paper • 2402.09371 • Published Feb 14, 2024 • 15

📝 Cool LLM papers

Starting from 2024-11-15

Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Paper • 2504.13837 • Published Apr 18 • 135
Understanding R1-Zero-Like Training: A Critical Perspective

Paper • 2503.20783 • Published Mar 26 • 56
Inference-Time Scaling for Generalist Reward Modeling

Paper • 2504.02495 • Published Apr 3 • 56
Large Language Diffusion Models

Paper • 2502.09992 • Published Feb 14 • 122

Papers - Training - Scaling Properties

Physics of Language Models: Part 3.3, Knowledge Capacity Scaling Laws

Paper • 2404.05405 • Published Apr 8, 2024 • 10
Scaling Laws for Precision

Paper • 2411.04330 • Published Nov 7, 2024 • 8
Scaling and evaluating sparse autoencoders

Paper • 2406.04093 • Published Jun 6, 2024 • 3

advancing research

STaR: Bootstrapping Reasoning With Reasoning

Paper • 2203.14465 • Published Mar 28, 2022 • 9
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Paper • 2401.06066 • Published Jan 11, 2024 • 56
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Paper • 2405.04434 • Published May 7, 2024 • 22
Prompt Cache: Modular Attention Reuse for Low-Latency Inference

Paper • 2311.04934 • Published Nov 7, 2023 • 34

Papers I want to read

Papers in my to-read list

RLHF Workflow: From Reward Modeling to Online RLHF

Paper • 2405.07863 • Published May 13, 2024 • 71
Chameleon: Mixed-Modal Early-Fusion Foundation Models

Paper • 2405.09818 • Published May 16, 2024 • 131
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models

Paper • 2405.15574 • Published May 24, 2024 • 55
An Introduction to Vision-Language Modeling

Paper • 2405.17247 • Published May 27, 2024 • 90

Scaling Literature

Collection of Scaling Law Papers

Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Paper • 2408.03314 • Published Aug 6, 2024 • 63
Training Compute-Optimal Large Language Models

Paper • 2203.15556 • Published Mar 29, 2022 • 11
Scaling Laws for Precision

Paper • 2411.04330 • Published Nov 7, 2024 • 8
Transcending Scaling Laws with 0.1% Extra Compute

Paper • 2210.11399 • Published Oct 20, 2022

📝 Cool LLM papers

Starting from 2024-11-15

Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Paper • 2504.13837 • Published Apr 18 • 135
Understanding R1-Zero-Like Training: A Critical Perspective

Paper • 2503.20783 • Published Mar 26 • 56
Inference-Time Scaling for Generalist Reward Modeling

Paper • 2504.02495 • Published Apr 3 • 56
Large Language Diffusion Models

Paper • 2502.09992 • Published Feb 14 • 122

Paper - LLM Laws

Scaling Laws for Precision

Paper • 2411.04330 • Published Nov 7, 2024 • 8
Measuring AI Ability to Complete Long Tasks

Paper • 2503.14499 • Published Mar 18 • 15

Papers - Training - Scaling Properties

Physics of Language Models: Part 3.3, Knowledge Capacity Scaling Laws

Paper • 2404.05405 • Published Apr 8, 2024 • 10
Scaling Laws for Precision

Paper • 2411.04330 • Published Nov 7, 2024 • 8
Scaling and evaluating sparse autoencoders

Paper • 2406.04093 • Published Jun 6, 2024 • 3

KAN: Kolmogorov-Arnold Networks

Paper • 2404.19756 • Published Apr 30, 2024 • 115
The Platonic Representation Hypothesis

Paper • 2405.07987 • Published May 13, 2024 • 3
The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of Inductive Biases in Machine Learning

Paper • 2304.05366 • Published Apr 11, 2023 • 1
Explaining NonLinear Classification Decisions with Deep Taylor Decomposition

Paper • 1512.02479 • Published Dec 8, 2015 • 1

advancing research

STaR: Bootstrapping Reasoning With Reasoning

Paper • 2203.14465 • Published Mar 28, 2022 • 9
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Paper • 2401.06066 • Published Jan 11, 2024 • 56
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Paper • 2405.04434 • Published May 7, 2024 • 22
Prompt Cache: Modular Attention Reuse for Low-Latency Inference

Paper • 2311.04934 • Published Nov 7, 2023 • 34

Papers - Quantization

QLoRA: Efficient Finetuning of Quantized LLMs

Paper • 2305.14314 • Published May 23, 2023 • 56
EfficientQAT: Efficient Quantization-Aware Training for Large Language Models

Paper • 2407.11062 • Published Jul 10, 2024 • 10
Spectra: A Comprehensive Study of Ternary, Quantized, and FP16 Language Models

Paper • 2407.12327 • Published Jul 17, 2024 • 79
BitNet a4.8: 4-bit Activations for 1-bit LLMs

Paper • 2411.04965 • Published Nov 7, 2024 • 69

Papers I want to read

Papers in my to-read list

RLHF Workflow: From Reward Modeling to Online RLHF

Paper • 2405.07863 • Published May 13, 2024 • 71
Chameleon: Mixed-Modal Early-Fusion Foundation Models

Paper • 2405.09818 • Published May 16, 2024 • 131
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models

Paper • 2405.15574 • Published May 24, 2024 • 55
An Introduction to Vision-Language Modeling

Paper • 2405.17247 • Published May 27, 2024 • 90

Papers - Training

SELF: Language-Driven Self-Evolution for Large Language Model

Paper • 2310.00533 • Published Oct 1, 2023 • 2
GrowLength: Accelerating LLMs Pretraining by Progressively Growing Training Length

Paper • 2310.00576 • Published Oct 1, 2023 • 2
A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity

Paper • 2305.13169 • Published May 22, 2023 • 3
Transformers Can Achieve Length Generalization But Not Robustly

Paper • 2402.09371 • Published Feb 14, 2024 • 15

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