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Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 104 -
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing
Paper • 2404.12253 • Published • 54 -
Make Your LLM Fully Utilize the Context
Paper • 2404.16811 • Published • 52 -
ReFT: Representation Finetuning for Language Models
Paper • 2404.03592 • Published • 91
Collections
Discover the best community collections!
Collections including paper arxiv:2406.19389
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PUMA: Empowering Unified MLLM with Multi-granular Visual Generation
Paper • 2410.13861 • Published • 53 -
JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and Generation
Paper • 2411.07975 • Published • 27 -
Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization
Paper • 2411.10442 • Published • 71 -
Multimodal Autoregressive Pre-training of Large Vision Encoders
Paper • 2411.14402 • Published • 43
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Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models
Paper • 2406.17294 • Published • 11 -
OMG-LLaVA: Bridging Image-level, Object-level, Pixel-level Reasoning and Understanding
Paper • 2406.19389 • Published • 52 -
EVF-SAM: Early Vision-Language Fusion for Text-Prompted Segment Anything Model
Paper • 2406.20076 • Published • 9 -
PicoAudio: Enabling Precise Timestamp and Frequency Controllability of Audio Events in Text-to-audio Generation
Paper • 2407.02869 • Published • 18
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OMG-LLaVA: Bridging Image-level, Object-level, Pixel-level Reasoning and Understanding
Paper • 2406.19389 • Published • 52 -
The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale
Paper • 2406.17557 • Published • 89 -
RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs
Paper • 2407.02485 • Published • 5 -
Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems
Paper • 2407.01370 • Published • 86
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VoCo-LLaMA: Towards Vision Compression with Large Language Models
Paper • 2406.12275 • Published • 29 -
TroL: Traversal of Layers for Large Language and Vision Models
Paper • 2406.12246 • Published • 34 -
Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning
Paper • 2406.15334 • Published • 9 -
Benchmarking Multi-Image Understanding in Vision and Language Models: Perception, Knowledge, Reasoning, and Multi-Hop Reasoning
Paper • 2406.12742 • Published • 14
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GLaMM: Pixel Grounding Large Multimodal Model
Paper • 2311.03356 • Published • 33 -
SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models
Paper • 2311.07575 • Published • 13 -
CoVLM: Composing Visual Entities and Relationships in Large Language Models Via Communicative Decoding
Paper • 2311.03354 • Published • 4 -
Language-Informed Visual Concept Learning
Paper • 2312.03587 • Published • 5
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THEANINE: Revisiting Memory Management in Long-term Conversations with Timeline-augmented Response Generation
Paper • 2406.10996 • Published • 32 -
Simulating Classroom Education with LLM-Empowered Agents
Paper • 2406.19226 • Published • 30 -
OMG-LLaVA: Bridging Image-level, Object-level, Pixel-level Reasoning and Understanding
Paper • 2406.19389 • Published • 52 -
LAMBDA: A Large Model Based Data Agent
Paper • 2407.17535 • Published • 35
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Visual Fact Checker: Enabling High-Fidelity Detailed Caption Generation
Paper • 2404.19752 • Published • 22 -
How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites
Paper • 2404.16821 • Published • 55 -
MoAI: Mixture of All Intelligence for Large Language and Vision Models
Paper • 2403.07508 • Published • 74 -
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training
Paper • 2403.09611 • Published • 125