Paper Reviews by AI
2024
GenEx: Generating an Explorable World
·2180 words·11 mins·
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AI Generated
๐ค Daily Papers
Multimodal Learning
Embodied AI
๐ข Johns Hopkins University
GenEx: ๋จ์ผ ์ด๋ฏธ์ง๋ก ํ์ ๊ฐ๋ฅํ 3D ์ธ๊ณ ์์ฑ.
FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion
·1899 words·9 mins·
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AI Generated
๐ค Daily Papers
Computer Vision
Image Generation
๐ข Nanyang Technological University
FreeScale๋ก ํ๋ ์์ด 8K ์ด๋ฏธ์ง ์์ฑ!
FluxSpace: Disentangled Semantic Editing in Rectified Flow Transformers
·2291 words·11 mins·
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AI Generated
๐ค Daily Papers
Computer Vision
Image Generation
๐ข Virginia Tech
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TidyBot++: An Open-Source Holonomic Mobile Manipulator for Robot Learning
·1434 words·7 mins·
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AI Generated
๐ค Daily Papers
AI Applications
Robotics
๐ข Princeton University
TidyBot++: ์ ๋น์ฉ, ํ๋ก๋
ธ๋ฏน ์ด๋ ์กฐ์๊ธฐ & ํธ๋ํฐ ํ
๋ ์คํผ๋ ์ด์
์ธํฐํ์ด์ค ๊ณต๊ฐ
SmolTulu: Higher Learning Rate to Batch Size Ratios Can Lead to Better Reasoning in SLMs
·2378 words·12 mins·
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AI Generated
๐ค Daily Papers
Natural Language Processing
Large Language Models
๐ข Saudi Data & Artificial Intelligence Authority
Smaller language models reason better with fine-tuned training recipes.
ObjectMate: A Recurrence Prior for Object Insertion and Subject-Driven Generation
·3512 words·17 mins·
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AI Generated
๐ค Daily Papers
Computer Vision
Image Generation
๐ข Google
๊ฐ์ฒด ํฉ์ฑ์ ์ ์๋: ObjectMate๋ก ํ๋ ์์ด ์ฌ์ค์ ์ธ ๊ฒฐ๊ณผ๋ฅผ ์ป์ผ์ธ์.
Evaluation Agent: Efficient and Promptable Evaluation Framework for Visual Generative Models
·3977 words·19 mins·
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AI Generated
๐ค Daily Papers
Computer Vision
Image Generation
๐ข Shanghai Artificial Intelligence Laboratory
Evaluation Agent: ๋ ๋น ๋ฅด๊ณ , ์ ์ฐํ๋ฉฐ, ์ค๋ช
๊ฐ๋ฅํ ์๊ฐ์ ์์ฑ ๋ชจ๋ธ ํ๊ฐ ํ๋ ์์ํฌ.
BiMediX2: Bio-Medical EXpert LMM for Diverse Medical Modalities
·2792 words·14 mins·
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AI Generated
๐ค Daily Papers
Multimodal Learning
Vision-Language Models
๐ข Mohamed Bin Zayed University of Artificial Intelligence
BiMediX2: ์๋์ด-์์ด ์ด์ค ์ธ์ด ์๋ฃ ์ ๋ฌธ๊ฐ LMM ์ถ์!
NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networks
·2943 words·14 mins·
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AI Generated
๐ค Daily Papers
Natural Language Processing
Large Language Models
๐ข University of Alberta
NeuZip dynamically compresses neural network weights, achieving memory-efficient training and inference without performance loss, significantly reducing the memory footprint of large language models.
Do LLMs Have Distinct and Consistent Personality? TRAIT: Personality Testset designed for LLMs with Psychometrics
·11182 words·53 mins·
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AI Generated
Natural Language Processing
Large Language Models
๐ข Yonsei University
LLM์ ๊ฐ์ฑ์ ์ ๋์ ์ผ๋ก ํ๊ฐํ๋ ์๋ก์ด ๋ฒค์น๋งํฌ TRAIT ์ ์: ์ ๋ขฐ์ฑ ๋ฐ ํ๋น์ฑ ๋์ 8,000๊ฐ์ ์ง๋ฌธ์ผ๋ก ๊ตฌ์ฑ, LLM ๊ฐ์ฑ์ ๋
ํน์ฑ๊ณผ ์ผ๊ด์ฑ ๊ท๋ช
, ๋ชจ๋ธ ์ ๋ ฌ ๊ณผ์ ์ ์ํฅ ๋ถ์ ๋ฐ ์ ํ์ ์ ์.
2023
Background-aware Moment Detection for Video Moment Retrieval
·2175 words·11 mins·
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AI Generated
Computer Vision
Video Understanding
๐ข Seoul National University
BM-DETR: ๋ฐฐ๊ฒฝ ์ ๋ณด ํ์ฉ์ผ๋ก ๋น๋์ค ์๊ฐ ๊ฒ์์ ์ฝํ ์ ๋ ฌ ๋ฌธ์ ํด๊ฒฐ!