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Collections including paper arxiv:2410.00907

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

To Read collection

interesting papers to read

Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Paper • 2503.24290 • Published Mar 31, 2025 • 62
I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders

Paper • 2503.18878 • Published Mar 24, 2025 • 119
START: Self-taught Reasoner with Tools

Paper • 2503.04625 • Published Mar 6, 2025 • 113
DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18, 2025 • 144

Addition is All You Need for Energy-efficient Language Models

Paper • 2410.00907 • Published Oct 1, 2024 • 151
Knowledge Distillation of Large Language Models

Paper • 2306.08543 • Published Jun 14, 2023 • 21
facebook/MobileLLM-350M

Text Generation • Updated May 5, 2025 • 303 • 36

Addition is All You Need for Energy-efficient Language Models

Paper • 2410.00907 • Published Oct 1, 2024 • 151
Emu3: Next-Token Prediction is All You Need

Paper • 2409.18869 • Published Sep 27, 2024 • 96
An accurate detection is not all you need to combat label noise in web-noisy datasets

Paper • 2407.05528 • Published Jul 8, 2024 • 4
Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP

Paper • 2407.00402 • Published Jun 29, 2024 • 22

Attention Heads of Large Language Models: A Survey

Paper • 2409.03752 • Published Sep 5, 2024 • 92
Transformer Explainer: Interactive Learning of Text-Generative Models

Paper • 2408.04619 • Published Aug 8, 2024 • 174
Addition is All You Need for Energy-efficient Language Models

Paper • 2410.00907 • Published Oct 1, 2024 • 151
DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining

Paper • 2305.10429 • Published May 17, 2023 • 3

FP8 Multiplication to addition

Addition is All You Need for Energy-efficient Language Models

Paper • 2410.00907 • Published Oct 1, 2024 • 151

Gpu simulation algorithm

Addition is All You Need for Energy-efficient Language Models

Paper • 2410.00907 • Published Oct 1, 2024 • 151

Artigos sugeridos pelo chefe do Laboratório de Inteligência Artificial do TRT-13

Addition is All You Need for Energy-efficient Language Models

Paper • 2410.00907 • Published Oct 1, 2024 • 151

Interesting Papers

These papers are interesting (to me)

Revisit Large-Scale Image-Caption Data in Pre-training Multimodal Foundation Models

Paper • 2410.02740 • Published Oct 3, 2024 • 54
From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging

Paper • 2410.01215 • Published Oct 2, 2024 • 39
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models

Paper • 2409.17146 • Published Sep 25, 2024 • 121
EuroLLM: Multilingual Language Models for Europe

Paper • 2409.16235 • Published Sep 24, 2024 • 29

RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval

Paper • 2409.10516 • Published Sep 16, 2024 • 43
Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse

Paper • 2409.11242 • Published Sep 17, 2024 • 7
Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models

Paper • 2409.11136 • Published Sep 17, 2024 • 22
On the Diagram of Thought

Paper • 2409.10038 • Published Sep 16, 2024 • 13

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

FP8 Multiplication to addition

Addition is All You Need for Energy-efficient Language Models

Paper • 2410.00907 • Published Oct 1, 2024 • 151

To Read collection

interesting papers to read

Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model

Paper • 2503.24290 • Published Mar 31, 2025 • 62
I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders

Paper • 2503.18878 • Published Mar 24, 2025 • 119
START: Self-taught Reasoner with Tools

Paper • 2503.04625 • Published Mar 6, 2025 • 113
DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Paper • 2503.14476 • Published Mar 18, 2025 • 144

Gpu simulation algorithm

Addition is All You Need for Energy-efficient Language Models

Paper • 2410.00907 • Published Oct 1, 2024 • 151

Addition is All You Need for Energy-efficient Language Models

Paper • 2410.00907 • Published Oct 1, 2024 • 151
Knowledge Distillation of Large Language Models

Paper • 2306.08543 • Published Jun 14, 2023 • 21
facebook/MobileLLM-350M

Text Generation • Updated May 5, 2025 • 303 • 36

Artigos sugeridos pelo chefe do Laboratório de Inteligência Artificial do TRT-13

Addition is All You Need for Energy-efficient Language Models

Paper • 2410.00907 • Published Oct 1, 2024 • 151

Addition is All You Need for Energy-efficient Language Models

Paper • 2410.00907 • Published Oct 1, 2024 • 151
Emu3: Next-Token Prediction is All You Need

Paper • 2409.18869 • Published Sep 27, 2024 • 96
An accurate detection is not all you need to combat label noise in web-noisy datasets

Paper • 2407.05528 • Published Jul 8, 2024 • 4
Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP

Paper • 2407.00402 • Published Jun 29, 2024 • 22

Interesting Papers

These papers are interesting (to me)

Revisit Large-Scale Image-Caption Data in Pre-training Multimodal Foundation Models

Paper • 2410.02740 • Published Oct 3, 2024 • 54
From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging

Paper • 2410.01215 • Published Oct 2, 2024 • 39
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models

Paper • 2409.17146 • Published Sep 25, 2024 • 121
EuroLLM: Multilingual Language Models for Europe

Paper • 2409.16235 • Published Sep 24, 2024 • 29

Attention Heads of Large Language Models: A Survey

Paper • 2409.03752 • Published Sep 5, 2024 • 92
Transformer Explainer: Interactive Learning of Text-Generative Models

Paper • 2408.04619 • Published Aug 8, 2024 • 174
Addition is All You Need for Energy-efficient Language Models

Paper • 2410.00907 • Published Oct 1, 2024 • 151
DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining

Paper • 2305.10429 • Published May 17, 2023 • 3

RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval

Paper • 2409.10516 • Published Sep 16, 2024 • 43
Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse

Paper • 2409.11242 • Published Sep 17, 2024 • 7
Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models

Paper • 2409.11136 • Published Sep 17, 2024 • 22
On the Diagram of Thought

Paper • 2409.10038 • Published Sep 16, 2024 • 13

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