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Collections including paper arxiv:2502.07617

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

Rethinking Data Selection at Scale: Random Selection is Almost All You Need

Paper • 2410.09335 • Published Oct 12, 2024 • 16
From Generalist to Specialist: Adapting Vision Language Models via Task-Specific Visual Instruction Tuning

Paper • 2410.06456 • Published Oct 9, 2024 • 37
Emergent properties with repeated examples

Paper • 2410.07041 • Published Oct 9, 2024 • 8
Personalized Visual Instruction Tuning

Paper • 2410.07113 • Published Oct 9, 2024 • 70

LinFusion: 1 GPU, 1 Minute, 16K Image

Paper • 2409.02097 • Published Sep 3, 2024 • 34
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion

Paper • 2409.11406 • Published Sep 17, 2024 • 27
Diffusion Models Are Real-Time Game Engines

Paper • 2408.14837 • Published Aug 27, 2024 • 126
Segment Anything with Multiple Modalities

Paper • 2408.09085 • Published Aug 17, 2024 • 22

about 14 hours ago

LLM Pruning and Distillation in Practice: The Minitron Approach

Paper • 2408.11796 • Published Aug 21, 2024 • 57
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Paper • 2408.09174 • Published Aug 17, 2024 • 52
To Code, or Not To Code? Exploring Impact of Code in Pre-training

Paper • 2408.10914 • Published Aug 20, 2024 • 45
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Paper • 2408.11878 • Published Aug 20, 2024 • 63

FLAME: Factuality-Aware Alignment for Large Language Models

Paper • 2405.01525 • Published May 2, 2024 • 28
DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data

Paper • 2405.14333 • Published May 23, 2024 • 43
Transformers Can Do Arithmetic with the Right Embeddings

Paper • 2405.17399 • Published May 27, 2024 • 54
EasyAnimate: A High-Performance Long Video Generation Method based on Transformer Architecture

Paper • 2405.18991 • Published May 29, 2024 • 12

Data and other things

about 8 hours ago

MegaPairs: Massive Data Synthesis For Universal Multimodal Retrieval

Paper • 2412.14475 • Published Dec 19, 2024 • 55
How to Synthesize Text Data without Model Collapse?

Paper • 2412.14689 • Published Dec 19, 2024 • 52
Token-Budget-Aware LLM Reasoning

Paper • 2412.18547 • Published Dec 24, 2024 • 46
WavePulse: Real-time Content Analytics of Radio Livestreams

Paper • 2412.17998 • Published Dec 23, 2024 • 11

Pangea: A Fully Open Multilingual Multimodal LLM for 39 Languages

Paper • 2410.16153 • Published Oct 21, 2024 • 44
AutoTrain: No-code training for state-of-the-art models

Paper • 2410.15735 • Published Oct 21, 2024 • 59
The Curse of Multi-Modalities: Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio

Paper • 2410.12787 • Published Oct 16, 2024 • 31
LEOPARD : A Vision Language Model For Text-Rich Multi-Image Tasks

Paper • 2410.01744 • Published Oct 2, 2024 • 26

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

Paper • 2408.10188 • Published Aug 19, 2024 • 52
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models

Paper • 2408.08872 • Published Aug 16, 2024 • 101
Building and better understanding vision-language models: insights and future directions

Paper • 2408.12637 • Published Aug 22, 2024 • 133
Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Paper • 2408.12528 • Published Aug 22, 2024 • 51

iVideoGPT: Interactive VideoGPTs are Scalable World Models

Paper • 2405.15223 • Published May 24, 2024 • 17
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
Matryoshka Multimodal Models

Paper • 2405.17430 • Published May 27, 2024 • 34

LM Capabilities and Scaling

Compression Represents Intelligence Linearly

Paper • 2404.09937 • Published Apr 15, 2024 • 28
MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies

Paper • 2404.06395 • Published Apr 9, 2024 • 24
Long-context LLMs Struggle with Long In-context Learning

Paper • 2404.02060 • Published Apr 2, 2024 • 37
Are large language models superhuman chemists?

Paper • 2404.01475 • Published Apr 1, 2024 • 19

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

Data and other things

about 8 hours ago

MegaPairs: Massive Data Synthesis For Universal Multimodal Retrieval

Paper • 2412.14475 • Published Dec 19, 2024 • 55
How to Synthesize Text Data without Model Collapse?

Paper • 2412.14689 • Published Dec 19, 2024 • 52
Token-Budget-Aware LLM Reasoning

Paper • 2412.18547 • Published Dec 24, 2024 • 46
WavePulse: Real-time Content Analytics of Radio Livestreams

Paper • 2412.17998 • Published Dec 23, 2024 • 11

Rethinking Data Selection at Scale: Random Selection is Almost All You Need

Paper • 2410.09335 • Published Oct 12, 2024 • 16
From Generalist to Specialist: Adapting Vision Language Models via Task-Specific Visual Instruction Tuning

Paper • 2410.06456 • Published Oct 9, 2024 • 37
Emergent properties with repeated examples

Paper • 2410.07041 • Published Oct 9, 2024 • 8
Personalized Visual Instruction Tuning

Paper • 2410.07113 • Published Oct 9, 2024 • 70

Pangea: A Fully Open Multilingual Multimodal LLM for 39 Languages

Paper • 2410.16153 • Published Oct 21, 2024 • 44
AutoTrain: No-code training for state-of-the-art models

Paper • 2410.15735 • Published Oct 21, 2024 • 59
The Curse of Multi-Modalities: Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio

Paper • 2410.12787 • Published Oct 16, 2024 • 31
LEOPARD : A Vision Language Model For Text-Rich Multi-Image Tasks

Paper • 2410.01744 • Published Oct 2, 2024 • 26

LinFusion: 1 GPU, 1 Minute, 16K Image

Paper • 2409.02097 • Published Sep 3, 2024 • 34
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion

Paper • 2409.11406 • Published Sep 17, 2024 • 27
Diffusion Models Are Real-Time Game Engines

Paper • 2408.14837 • Published Aug 27, 2024 • 126
Segment Anything with Multiple Modalities

Paper • 2408.09085 • Published Aug 17, 2024 • 22

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

Paper • 2408.10188 • Published Aug 19, 2024 • 52
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models

Paper • 2408.08872 • Published Aug 16, 2024 • 101
Building and better understanding vision-language models: insights and future directions

Paper • 2408.12637 • Published Aug 22, 2024 • 133
Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Paper • 2408.12528 • Published Aug 22, 2024 • 51

about 14 hours ago

LLM Pruning and Distillation in Practice: The Minitron Approach

Paper • 2408.11796 • Published Aug 21, 2024 • 57
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Paper • 2408.09174 • Published Aug 17, 2024 • 52
To Code, or Not To Code? Exploring Impact of Code in Pre-training

Paper • 2408.10914 • Published Aug 20, 2024 • 45
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Paper • 2408.11878 • Published Aug 20, 2024 • 63

iVideoGPT: Interactive VideoGPTs are Scalable World Models

Paper • 2405.15223 • Published May 24, 2024 • 17
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
Matryoshka Multimodal Models

Paper • 2405.17430 • Published May 27, 2024 • 34

FLAME: Factuality-Aware Alignment for Large Language Models

Paper • 2405.01525 • Published May 2, 2024 • 28
DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data

Paper • 2405.14333 • Published May 23, 2024 • 43
Transformers Can Do Arithmetic with the Right Embeddings

Paper • 2405.17399 • Published May 27, 2024 • 54
EasyAnimate: A High-Performance Long Video Generation Method based on Transformer Architecture

Paper • 2405.18991 • Published May 29, 2024 • 12

LM Capabilities and Scaling

Compression Represents Intelligence Linearly

Paper • 2404.09937 • Published Apr 15, 2024 • 28
MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies

Paper • 2404.06395 • Published Apr 9, 2024 • 24
Long-context LLMs Struggle with Long In-context Learning

Paper • 2404.02060 • Published Apr 2, 2024 • 37
Are large language models superhuman chemists?

Paper • 2404.01475 • Published Apr 1, 2024 • 19

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