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Collections including paper arxiv:2412.11768

about 18 hours ago

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

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

Paper • 2410.06456 • Published Oct 9 • 35
Emergent properties with repeated examples

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

Paper • 2410.07113 • Published Oct 9 • 69

CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data

Paper • 2404.15653 • Published Apr 24 • 26
MoDE: CLIP Data Experts via Clustering

Paper • 2404.16030 • Published Apr 24 • 12
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning

Paper • 2405.12130 • Published May 20 • 46
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention

Paper • 2405.12981 • Published May 21 • 28

about 13 hours ago

No More Adam: Learning Rate Scaling at Initialization is All You Need

Paper • 2412.11768 • Published 5 days ago • 35
TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks

Paper • 2412.14161 • Published 2 days ago • 39
HiRED: Attention-Guided Token Dropping for Efficient Inference of High-Resolution Vision-Language Models in Resource-Constrained Environments

Paper • 2408.10945 • Published Aug 20 • 9
PDFTriage: Question Answering over Long, Structured Documents

Paper • 2309.08872 • Published Sep 16, 2023 • 53

about 21 hours ago

Flowing from Words to Pixels: A Framework for Cross-Modality Evolution

Paper • 2412.15213 • Published 1 day ago • 17
No More Adam: Learning Rate Scaling at Initialization is All You Need

Paper • 2412.11768 • Published 5 days ago • 35
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference

Paper • 2412.13663 • Published 3 days ago • 85
Autoregressive Video Generation without Vector Quantization

Paper • 2412.14169 • Published 2 days ago • 12

Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference

Paper • 2412.13663 • Published 3 days ago • 85
A Survey of Small Language Models

Paper • 2410.20011 • Published Oct 25 • 40
No More Adam: Learning Rate Scaling at Initialization is All You Need

Paper • 2412.11768 • Published 5 days ago • 35

Interesting Papers

HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems

Paper • 2411.02959 • Published Nov 5 • 64
GarVerseLOD: High-Fidelity 3D Garment Reconstruction from a Single In-the-Wild Image using a Dataset with Levels of Details

Paper • 2411.03047 • Published Nov 5 • 8
MVPaint: Synchronized Multi-View Diffusion for Painting Anything 3D

Paper • 2411.02336 • Published Nov 4 • 23
GenXD: Generating Any 3D and 4D Scenes

Paper • 2411.02319 • Published Nov 4 • 20

about 23 hours ago

RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval

Paper • 2409.10516 • Published Sep 16 • 39
Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse

Paper • 2409.11242 • Published Sep 17 • 5
Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models

Paper • 2409.11136 • Published Sep 17 • 21
On the Diagram of Thought

Paper • 2409.10038 • Published Sep 16 • 12

Machine learning

Adam-mini: Use Fewer Learning Rates To Gain More

Paper • 2406.16793 • Published Jun 24 • 67
No More Adam: Learning Rate Scaling at Initialization is All You Need

Paper • 2412.11768 • Published 5 days ago • 35

Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models

Paper • 2404.13013 • Published Apr 19 • 30
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Paper • 2404.12253 • Published Apr 18 • 53
Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantity

Paper • 2403.12267 • Published Mar 18
No More Adam: Learning Rate Scaling at Initialization is All You Need

Paper • 2412.11768 • Published 5 days ago • 35

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