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LMM101
Awesome-Multimodal-Next-Token-Prediction
Learning & Reference2025–2025
LMM101 / Awesome-Multimodal-Next-Token-Prediction

Awesome-Multimodal-Next-Token-Prediction

[Survey] Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey

2Distinct people
2Mentions
0Explicit recommenders
477GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

[Survey] Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

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Also in these discussions

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This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by hour2 dated mentions

Observed mentions: 2025-01-09 10:28:10 UTC to 2025-01-09 10:47:23 UTC.

0122025-01-09 10:00:00 UTC to 2025-01-09 11:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 commentsJan 9, 10:00

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC. One observed period does not establish a trend.

View mention counts and date ranges
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PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Jan 9, 10:002025-01-09 10:00:00 UTC2025-01-09 11:00:00 UTC211

What Hacker News says

2 sources
Author here, We started writing this survey in early 2024, motivated by the idea that the Next Token Prediction paradigm could unify tasks across not just text but also image, audio, and video domains. At the time, works like Unified-IO received far less attention compared to language-focused LLMs. Fast forward to early 2025, we’re seeing more unified LMMs like Chameleon, Transfusion, and Grok (based on their respective descriptions) that integrate understanding and generation within a single model. This could indeed be the year where LLMs handle multimodal tasks—text, image, audio, and video—seamlessly. Any suggestions and discussions are welcome :) Survey: https://arxiv.org/abs/2412.18619 GitHub (related work & code): https://github.com/LMM101/Awesome-Multimodal-Next-Token-Pred...
In Next Token Prediction Towards Multimodal Intelligence

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