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Collections including paper arxiv:2501.03575

LLM Pruning and Distillation in Practice: The Minitron Approach

Paper • 2408.11796 • Published Aug 21, 2024 • 58
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 • 42
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Paper • 2408.11878 • Published Aug 20, 2024 • 54

Human-like Episodic Memory for Infinite Context LLMs

Paper • 2407.09450 • Published Jul 12, 2024 • 60
MUSCLE: A Model Update Strategy for Compatible LLM Evolution

Paper • 2407.09435 • Published Jul 12, 2024 • 22
Refuse Whenever You Feel Unsafe: Improving Safety in LLMs via Decoupled Refusal Training

Paper • 2407.09121 • Published Jul 12, 2024 • 5
ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities

Paper • 2407.14482 • Published Jul 19, 2024 • 26

iVideoGPT: Interactive VideoGPTs are Scalable World Models

Paper • 2405.15223 • Published May 24, 2024 • 13
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models

Paper • 2405.15574 • Published May 24, 2024 • 53
An Introduction to Vision-Language Modeling

Paper • 2405.17247 • Published May 27, 2024 • 87
Matryoshka Multimodal Models

Paper • 2405.17430 • Published May 27, 2024 • 31

MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training

Paper • 2311.17049 • Published Nov 28, 2023 • 1
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Paper • 2405.04434 • Published May 7, 2024 • 14
A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision

Paper • 2303.17376 • Published Mar 30, 2023
Sigmoid Loss for Language Image Pre-Training

Paper • 2303.15343 • Published Mar 27, 2023 • 6

Foundation Models

OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1, 2024 • 82
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Paper • 2403.05530 • Published Mar 8, 2024 • 62
StarCoder: may the source be with you!

Paper • 2305.06161 • Published May 9, 2023 • 30
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Paper • 2312.15166 • Published Dec 23, 2023 • 56

SaulLM-7B: A pioneering Large Language Model for Law

Paper • 2403.03883 • Published Mar 6, 2024 • 78
Character-LLM: A Trainable Agent for Role-Playing

Paper • 2310.10158 • Published Oct 16, 2023 • 1
LLM Agent Operating System

Paper • 2403.16971 • Published Mar 25, 2024 • 65
RakutenAI-7B: Extending Large Language Models for Japanese

Paper • 2403.15484 • Published Mar 21, 2024 • 13

Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping

Paper • 2402.14083 • Published Feb 21, 2024 • 47
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27, 2024 • 607
Genie: Generative Interactive Environments

Paper • 2402.15391 • Published Feb 23, 2024 • 70
Humanoid Locomotion as Next Token Prediction

Paper • 2402.19469 • Published Feb 29, 2024 • 27

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

Paper • 2402.04252 • Published Feb 6, 2024 • 25
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 12
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 41
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 22

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