Deep Dive into LLM Scaling: Multi-Token Prediction’s Impact on Coding Accuracy

This content originally appeared on HackerNoon and was authored by Cosmological thinking: time, space and universal causation

Table of Links

Abstract and 1. Introduction

2. Method

3. Experiments on real data

4. Ablations on synthetic data

5. Why does it work? Some speculation

6. Related work

7. Conclusion, Impact statement, Environmental impact, Acknowledgements and References

A. Additional results on self-speculative decoding

B. Alternative architectures

C. Training speeds

D. Finetuning

E. Additional results on model scaling behavior

F. Details on CodeContests finetuning

G. Additional results on natural language benchmarks

H. Additional results on abstractive text summarization

I. Additional results on mathematical reasoning in natural language

J. Additional results on induction learning

K. Additional results on algorithmic reasoning

L. Additional intuitions on multi-token prediction

M. Training hyperparameters

E. Additional results on model scaling behavior

\

:::info Authors:

(1) Fabian Gloeckle, FAIR at Meta, CERMICS Ecole des Ponts ParisTech and Equal contribution;

(2) Badr Youbi Idrissi, FAIR at Meta, LISN Université Paris-Saclayand and Equal contribution;

(3) Baptiste Rozière, FAIR at Meta;

(4) David Lopez-Paz, FAIR at Meta and a last author;

(5) Gabriel Synnaeve, FAIR at Meta and a last author.

:::

:::info This paper is available on arxiv under CC BY 4.0 DEED license.

:::

\

This content originally appeared on HackerNoon and was authored by Cosmological thinking: time, space and universal causation

Print Share Comment Cite Upload Translate Updates

APA

Cosmological thinking: time, space and universal causation | Sciencx (2025-07-22T02:00:55+00:00) Deep Dive into LLM Scaling: Multi-Token Prediction’s Impact on Coding Accuracy. Retrieved from https://www.scien.cx/2025/07/22/deep-dive-into-llm-scaling-multi-token-predictions-impact-on-coding-accuracy/

MLA

" » Deep Dive into LLM Scaling: Multi-Token Prediction’s Impact on Coding Accuracy." Cosmological thinking: time, space and universal causation | Sciencx - Tuesday July 22, 2025, https://www.scien.cx/2025/07/22/deep-dive-into-llm-scaling-multi-token-predictions-impact-on-coding-accuracy/

HARVARD

Cosmological thinking: time, space and universal causation | Sciencx Tuesday July 22, 2025 » Deep Dive into LLM Scaling: Multi-Token Prediction’s Impact on Coding Accuracy., viewed ,<https://www.scien.cx/2025/07/22/deep-dive-into-llm-scaling-multi-token-predictions-impact-on-coding-accuracy/>

VANCOUVER

Cosmological thinking: time, space and universal causation | Sciencx - » Deep Dive into LLM Scaling: Multi-Token Prediction’s Impact on Coding Accuracy. [Internet]. [Accessed ]. Available from: https://www.scien.cx/2025/07/22/deep-dive-into-llm-scaling-multi-token-predictions-impact-on-coding-accuracy/

CHICAGO

" » Deep Dive into LLM Scaling: Multi-Token Prediction’s Impact on Coding Accuracy." Cosmological thinking: time, space and universal causation | Sciencx - Accessed . https://www.scien.cx/2025/07/22/deep-dive-into-llm-scaling-multi-token-predictions-impact-on-coding-accuracy/

IEEE

" » Deep Dive into LLM Scaling: Multi-Token Prediction’s Impact on Coding Accuracy." Cosmological thinking: time, space and universal causation | Sciencx [Online]. Available: https://www.scien.cx/2025/07/22/deep-dive-into-llm-scaling-multi-token-predictions-impact-on-coding-accuracy/. [Accessed: ]

rf:citation

» Deep Dive into LLM Scaling: Multi-Token Prediction’s Impact on Coding Accuracy | Cosmological thinking: time, space and universal causation | Sciencx | https://www.scien.cx/2025/07/22/deep-dive-into-llm-scaling-multi-token-predictions-impact-on-coding-accuracy/ |

Please log in to upload a file.

There are no updates yet.
Click the Upload button above to add an update.

You must be logged in to translate posts. Please log in or register.