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Collections including paper arxiv:2404.10179

How Far Are We from Intelligent Visual Deductive Reasoning?

Paper • 2403.04732 • Published Mar 7 • 18
MoAI: Mixture of All Intelligence for Large Language and Vision Models

Paper • 2403.07508 • Published Mar 12 • 71
DragAnything: Motion Control for Anything using Entity Representation

Paper • 2403.07420 • Published Mar 12 • 11
Learning and Leveraging World Models in Visual Representation Learning

Paper • 2403.00504 • Published Mar 1 • 25

Evaluating Very Long-Term Conversational Memory of LLM Agents

Paper • 2402.17753 • Published Feb 27 • 17
StructLM: Towards Building Generalist Models for Structured Knowledge Grounding

Paper • 2402.16671 • Published Feb 26 • 26
Do Large Language Models Latently Perform Multi-Hop Reasoning?

Paper • 2402.16837 • Published Feb 26 • 24
Divide-or-Conquer? Which Part Should You Distill Your LLM?

Paper • 2402.15000 • Published Feb 22 • 22

Language Modeling Is Compression

Paper • 2309.10668 • Published Sep 19, 2023 • 80
Small-scale proxies for large-scale Transformer training instabilities

Paper • 2309.14322 • Published Sep 25, 2023 • 17
Evaluating Cognitive Maps and Planning in Large Language Models with CogEval

Paper • 2309.15129 • Published Sep 25, 2023 • 5
Vision Transformers Need Registers

Paper • 2309.16588 • Published Sep 28, 2023 • 73

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