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Collections including paper arxiv:2408.15998

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 • 67
Chameleon: Mixed-Modal Early-Fusion Foundation Models

Paper • 2405.09818 • Published May 16 • 126
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models

Paper • 2405.15574 • Published May 24 • 53
An Introduction to Vision-Language Modeling

Paper • 2405.17247 • Published May 27 • 85

interesting stuff

Chain-of-Verification Reduces Hallucination in Large Language Models

Paper • 2309.11495 • Published Sep 20, 2023 • 38
Adapting Large Language Models via Reading Comprehension

Paper • 2309.09530 • Published Sep 18, 2023 • 77
CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages

Paper • 2309.09400 • Published Sep 17, 2023 • 82
Language Modeling Is Compression

Paper • 2309.10668 • Published Sep 19, 2023 • 82

Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders

Paper • 2408.15998 • Published Aug 28 • 83
General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model

Paper • 2409.01704 • Published Sep 3 • 81
Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers

Paper • 2408.06195 • Published Aug 12 • 61
Self-Reflection in LLM Agents: Effects on Problem-Solving Performance

Paper • 2405.06682 • Published May 5 • 3

Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders

Paper • 2408.15998 • Published Aug 28 • 83

Multimodal LLMs

Building and better understanding vision-language models: insights and future directions

Paper • 2408.12637 • Published Aug 22 • 117
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model

Paper • 2408.11039 • Published Aug 20 • 56
Mini-Omni: Language Models Can Hear, Talk While Thinking in Streaming

Paper • 2408.16725 • Published Aug 29 • 52
Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders

Paper • 2408.15998 • Published Aug 28 • 83

Multi-Modal Model

What matters when building vision-language models?

Paper • 2405.02246 • Published May 3 • 98
MUMU: Bootstrapping Multimodal Image Generation from Text-to-Image Data

Paper • 2406.18790 • Published Jun 26 • 33
Building and better understanding vision-language models: insights and future directions

Paper • 2408.12637 • Published Aug 22 • 117
Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Paper • 2408.12528 • Published Aug 22 • 50

Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders

Paper • 2408.15998 • Published Aug 28 • 83

LongVILA: Scaling Long-Context Visual Language Models for Long Videos

Paper • 2408.10188 • Published Aug 19 • 51
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models

Paper • 2408.08872 • Published Aug 16 • 97
Building and better understanding vision-language models: insights and future directions

Paper • 2408.12637 • Published Aug 22 • 117
Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Paper • 2408.12528 • Published Aug 22 • 50

Multimodal Language Model

What does matter besides data receipt when training a Multimodal language model?

LLaVA-OneVision: Easy Visual Task Transfer

Paper • 2408.03326 • Published Aug 6 • 59
VILA^2: VILA Augmented VILA

Paper • 2407.17453 • Published Jul 24 • 38
PaliGemma: A versatile 3B VLM for transfer

Paper • 2407.07726 • Published Jul 10 • 67
openbmb/MiniCPM-V-2_6

Image-Text-to-Text • Updated 28 days ago • 131k • 807

PeriodWave: Multi-Period Flow Matching for High-Fidelity Waveform Generation

Paper • 2408.07547 • Published Aug 14 • 7
DeepSpeak Dataset v1.0

Paper • 2408.05366 • Published Aug 9 • 10
Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders

Paper • 2408.15998 • Published Aug 28 • 83
Zero-shot Cross-lingual Voice Transfer for TTS

Paper • 2409.13910 • Published Sep 20 • 7

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