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DeepSeek LLM: Scaling Open-Source Language Models with Longtermism
Paper • 2401.02954 • Published • 38 -
Qwen Technical Report
Paper • 2309.16609 • Published • 30 -
GPT-4 Technical Report
Paper • 2303.08774 • Published • 3 -
Gemini: A Family of Highly Capable Multimodal Models
Paper • 2312.11805 • Published • 44
Collections
Discover the best community collections!
Collections including paper arxiv:2401.13601
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TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones
Paper • 2312.16862 • Published • 28 -
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action
Paper • 2312.17172 • Published • 24 -
Towards Truly Zero-shot Compositional Visual Reasoning with LLMs as Programmers
Paper • 2401.01974 • Published • 4 -
From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations
Paper • 2401.01885 • Published • 26
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Improving Text Embeddings with Large Language Models
Paper • 2401.00368 • Published • 73 -
LLaMA Beyond English: An Empirical Study on Language Capability Transfer
Paper • 2401.01055 • Published • 50 -
DocLLM: A layout-aware generative language model for multimodal document understanding
Paper • 2401.00908 • Published • 174 -
LLM in a flash: Efficient Large Language Model Inference with Limited Memory
Paper • 2312.11514 • Published • 253
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LLM in a flash: Efficient Large Language Model Inference with Limited Memory
Paper • 2312.11514 • Published • 253 -
3D-LFM: Lifting Foundation Model
Paper • 2312.11894 • Published • 13 -
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling
Paper • 2312.15166 • Published • 55 -
TinyGPT-V: Efficient Multimodal Large Language Model via Small Backbones
Paper • 2312.16862 • Published • 28
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Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization
Paper • 2311.06243 • Published • 17 -
FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor Cores
Paper • 2311.05908 • Published • 11 -
PolyMaX: General Dense Prediction with Mask Transformer
Paper • 2311.05770 • Published • 6 -
SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models
Paper • 2311.07575 • Published • 10
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Random Field Augmentations for Self-Supervised Representation Learning
Paper • 2311.03629 • Published • 6 -
TEAL: Tokenize and Embed ALL for Multi-modal Large Language Models
Paper • 2311.04589 • Published • 17 -
GENOME: GenerativE Neuro-symbOlic visual reasoning by growing and reusing ModulEs
Paper • 2311.04901 • Published • 6 -
Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models
Paper • 2311.06783 • Published • 25
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Towards an Understanding of Large Language Models in Software Engineering Tasks
Paper • 2308.11396 • Published • 1 -
Several categories of Large Language Models (LLMs): A Short Survey
Paper • 2307.10188 • Published • 1 -
Large Language Models for Generative Recommendation: A Survey and Visionary Discussions
Paper • 2309.01157 • Published • 1 -
A Survey on Large Language Models for Recommendation
Paper • 2305.19860 • Published • 1
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Understanding LLMs: A Comprehensive Overview from Training to Inference
Paper • 2401.02038 • Published • 59 -
Learning To Teach Large Language Models Logical Reasoning
Paper • 2310.09158 • Published • 1 -
ChipNeMo: Domain-Adapted LLMs for Chip Design
Paper • 2311.00176 • Published • 7 -
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
Paper • 2308.09583 • Published • 7
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Woodpecker: Hallucination Correction for Multimodal Large Language Models
Paper • 2310.16045 • Published • 13 -
HallusionBench: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(ision), LLaVA-1.5, and Other Multi-modality Models
Paper • 2310.14566 • Published • 23 -
SILC: Improving Vision Language Pretraining with Self-Distillation
Paper • 2310.13355 • Published • 5 -
Conditional Diffusion Distillation
Paper • 2310.01407 • Published • 19