mlsanityData to 19 Oct 2026

Multi-token prediction

19 papers0 this weekHigh confidence in this grouping: the papers form one clear topicHigh confidence in this grouping: the papers form one clear topic · About

Keywords: prediction, multi-token, multi-token prediction, mtp, token

Key facts. Multi-token prediction: 19 papers on arXiv since 2024 (data through 19 Oct 2026). 17 of its 19 mapped papers (89%) cite “Better & Faster Large Language Models via Multi-token Prediction” (2024, arXiv 2404.19737). 2 new papers 1 Oct–19 Oct.

What’s new

1 Oct – 19 Oct 2026

2 new since 1 Oct

  1. ECHO: Efficient Causal Self-Recursion Beyond Auxiliary Multi-Token Prediction
  2. LightMTP: Lightweight Latent Multi-Token Prediction

Foundations

Most cited by papers here

  1. Better & Faster Large Language Models via Multi-token Prediction2024cited by 17 here
  2. Your LLM Knows the Future: Uncovering Its Multi-Token Prediction Potential2025cited by 4 here
  3. Efficient Joint Prediction of Multiple Future Tokens2025cited by 3 here
  4. Multi-Token Prediction Needs Registers2025cited by 3 here
  5. L-MTP: Leap Multi-Token Prediction Beyond Adjacent Context for Large Language Models2025cited by 3 here

Lineage

The papers this direction builds on, oldest first.

Each paper on the line cites the one before.

  1. 2020Scaling Laws for Neural Language Modelscited by 6 here
  2. 2022UL2: Unifying Language Learning Paradigmscited by 2 here
  3. 2024Better & Faster Large Language Models via Multi-token Predictioncited by 17 here
  4. 2024DeepSeek-V3 Technical Reportcited by 8 here
  5. 2025Multi-Token Prediction Needs Registerscited by 3 here
  6. 2025Your LLM Knows the Future: Uncovering Its Multi-Token Prediction Potentialcited by 4 here
  7. 2025Understanding and Enhancing the Planning Capability of Language Models via Multi-Token Predictioncited by 2 here
17 more it builds on, not in this chain
  1. 2020UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Trainingcited by 1 here
  2. 2020The Pile: An 800GB Dataset of Diverse Text for Language Modelingcited by 2 here
  3. 2021GLM: General Language Model Pretraining with Autoregressive Blank Infillingcited by 1 here
  4. 2021Scaling Language Models: Methods, Analysis & Insights from Training Gophercited by 1 here
  5. 2022Training Compute-Optimal Large Language Modelscited by 3 here
  6. 2022CERT: Continual Pre-Training on Sketches for Library-Oriented Code Generationcited by 1 here
  7. 2023Pythia: A Suite for Analyzing Large Language Models Across Training and Scalingcited by 1 here
  8. 2023Scaling Data-Constrained Language Modelscited by 1 here
  9. 2023Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruningcited by 1 here
  10. 2024DataComp-LM: In search of the next generation of training sets for language modelscited by 1 here
  11. 2024The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scalecited by 2 here
  12. 2024Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape Perspectivecited by 1 here
  13. 2024Faster Language Models with Better Multi-Token Prediction Using Tensor Decompositioncited by 1 here
  14. 2024Byte Latent Transformer: Patches Scale Better Than Tokenscited by 1 here
  15. 2025Efficient Joint Prediction of Multiple Future Tokenscited by 3 here
  16. 2025L-MTP: Leap Multi-Token Prediction Beyond Adjacent Context for Large Language Modelscited by 3 here
  17. 2025Beyond Multi-Token Prediction: Pretraining LLMs with Future Summariescited by 2 here

The 24 most cited of 27.

Browse

14 of 19, ranked 6–19

  1. 6Understanding and Enhancing the Planning Capability of Language Models via Multi-Token Prediction20252
  2. 7Beyond Multi-Token Prediction: Pretraining LLMs with Future Summaries20252
  3. 8LLM Pretraining with Continuous Concepts20251
  4. 9Predicting the Order of Upcoming Tokens Improves Language Modeling20251
  5. 10Faster Language Models with Better Multi-Token Prediction Using Tensor Decomposition20241
  6. 11Toward Consistent World Models with Multi-Token Prediction and Latent Semantic Enhancement20260
  7. 12How Transformers Learn to Plan via Multi-Token Prediction20260
  8. 13NITP: Next Implicit Token Prediction for LLM Pre-training20260
  9. 14AdaMTP: An Adaptive Training Paradigm for Multi-Token Prediction20260
  10. 15LoopMTP: A looped transformer guided by latent multi-token prediction20260
All 14
  1. 16Beyond the Next Token: Towards Prompt-Robust Zero-Shot Classification via Efficient Multi-Token Prediction20250
  2. 17GReF: A Unified Generative Framework for Efficient Reranking via Ordered Multi-token Prediction20250
  3. 18Multi-State-Action Tokenisation in Decision Transformers for Multi-Discrete Action Spaces20240
  4. 19Future Token Prediction -- Causal Language Modelling with Per-Token Semantic State Vector for Multi-Token Prediction20240