Paper Reviews by AI
2024
DateLogicQA: Benchmarking Temporal Biases in Large Language Models
·2927 words·14 mins·
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๐ค Daily Papers
Natural Language Processing
Large Language Models
๐ข University of Aberdeen
DateLogicQA: LLM์ ์๊ฐ์ ์ถ๋ก ํธํฅ ๋ฒค์น๋งํฌ ์ ์! ํ ํฐํ, ํ์ ๋ฐ ๋
ผ๋ฆฌ ์์ค ํธํฅ ๋ถ์์ผ๋ก ์๊ฐ์ ๋ฐ์ดํฐ ์ฒ๋ฆฌ ๊ฐ์ ๋ฐฉ์ ์ ์!
ChatDiT: A Training-Free Baseline for Task-Agnostic Free-Form Chatting with Diffusion Transformers
·1484 words·7 mins·
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๐ค Daily Papers
Computer Vision
Image Generation
๐ข Tongyi Lab
ChatDiT: ์ ๋ก์ท ๋ฐฉ์์ผ๋ก ์ฌ์ ํ๋ จ๋ ํ์ฐ ๋ณํ๊ธฐ๋ฅผ ํ์ฉ, ์์ฐ์ด๋ก ๋ค์ํ ์๊ฐ์ ๊ณผ์ ํด๊ฒฐ!
Wonderland: Navigating 3D Scenes from a Single Image
·2841 words·14 mins·
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๐ค Daily Papers
Computer Vision
3D Vision
๐ข University of Toronto
๋จ์ผ ์ด๋ฏธ์ง๋ก ๊ณ ํ์ง 3D ์ฅ๋ฉด์ ์์ฑํ๋ ํจ์จ์ ์ด๊ณ ํ์ฅ ๊ฐ๋ฅํ ํ๋ ์์ํฌ
Whisper-GPT: A Hybrid Representation Audio Large Language Model
·1322 words·7 mins·
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๐ค Daily Papers
Natural Language Processing
Large Language Models
๐ข Stanford University
Whisper-GPT: ํ์ด๋ธ๋ฆฌ๋ ์์ฑ ๋ฐ ์์
LLM์ผ๋ก, ์ฐ์ ์ค๋์ค์ ์ด์ฐ ํ ํฐ์ ๊ฒฐํฉํ์ฌ ํฅ์๋ ์ฑ๋ฅ์ ์ ๊ณตํฉ๋๋ค.
The Open Source Advantage in Large Language Models (LLMs)
·248 words·2 mins·
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๐ค Daily Papers
Natural Language Processing
Large Language Models
๐ข Rollins College
์คํ์์ค LLM, ํ์ํ LLM ๋๋น ํฌ๋ช
์ฑ๊ณผ ์ ๊ทผ์ฑ์ ๋์ง๋ง, ์ฑ๋ฅ์ ๋ฎ์. ํ์ด๋ธ๋ฆฌ๋ ์ ๋ต์ด ๋ฏธ๋.
StrandHead: Text to Strand-Disentangled 3D Head Avatars Using Hair Geometric Priors
·1741 words·9 mins·
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๐ค Daily Papers
Computer Vision
3D Vision
๐ข Nanjing University
’’ StrandHead: ํ
์คํธ๋ง์ผ๋ก ์ฌ์ค์ ์ธ 3D ํค๋ ์๋ฐํ์ ์ฌ์ธํ ํค์ด์คํ์ผ๊น์ง ์์ฑ.''
SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models
·3260 words·16 mins·
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๐ค Daily Papers
Natural Language Processing
Large Language Models
๐ข Tsinghua University
Self-play with refinement boosts instruction-following in LLMs.
Sequence Matters: Harnessing Video Models in 3D Super-Resolution
·3903 words·19 mins·
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๐ค Daily Papers
Computer Vision
3D Vision
๐ข Department of Electrical and Computer Engineering, Sungkyunkwan University
๋น๋์ค ์ดํด์๋ ๋ชจ๋ธ์ ์ด์ฉํ ํ์ ์ ์ธ 3D ์ดํด์๋ ๊ธฐ๋ฒ์ผ๋ก, ์ ๋ ฌ ๊ณผ์ ์์ด๋ ์ต์ฒจ๋จ ์ฑ๋ฅ ๋ฌ์ฑ!
SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator
·2998 words·15 mins·
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๐ค Daily Papers
Natural Language Processing
Large Language Models
๐ข Huawei Noah's Ark Lab
SepLLM์ ํน์ ํ ํฐ์ ์ค์์ฑ์ ํ์ฉํ์ฌ LLM ์ถ๋ก ์ ๊ฐ์ํํ๊ณ ๊ธด ์ํ์ค๋ฅผ ํจ์จ์ ์ผ๋ก ์ฒ๋ฆฌํฉ๋๋ค.
RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation
·3747 words·18 mins·
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๐ค Daily Papers
Natural Language Processing
Question Answering
๐ข Renmin University of China
RetroLLM: ๊ฒ์๊ณผ ์์ฑ์ ํตํฉํ RAG ์์คํ
Nearly Zero-Cost Protection Against Mimicry by Personalized Diffusion Models
·3489 words·17 mins·
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๐ค Daily Papers
Computer Vision
Image Generation
๐ข Inha University
์ค์๊ฐ ์ด๋ฏธ์ง ๋ณดํธ, ๋ฅํ์ดํฌ ๋๋น์ฑ
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MOVIS: Enhancing Multi-Object Novel View Synthesis for Indoor Scenes
·2949 words·14 mins·
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๐ค Daily Papers
Computer Vision
3D Vision
๐ข Peking University
MOVIS๋ ์ค๋ด ์ฅ๋ฉด์ ๋ํ ๋ฉํฐ-๊ฐ์ฒด novel view synthesis์์ ๊ตฌ์กฐ์ ์ธ์์ ํฅ์์์ผ ์ผ๊ด์ฑ ์๊ณ ์ฌ์ค์ ์ธ novel view๋ฅผ ์์ฑํฉ๋๋ค.
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization
·2262 words·11 mins·
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๐ค Daily Papers
Machine Learning
Reinforcement Learning
๐ข ETH Zurich
์ ๋ณด ์ด๋์ผ๋ก ๊ฐํ ํ์ต ํ์์ ๊ฐํ.
Just a Simple Transformation is Enough for Data Protection in Vertical Federated Learning
·2263 words·11 mins·
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๐ค Daily Papers
Machine Learning
Federated Learning
๐ข MIPT
๊ฐ๋จํ ๋ณํ๋ง์ผ๋ก ์์ง ์ฐํฉ ํ์ต์์ ๋ฐ์ดํฐ ๋ณดํธ ๊ฐ๋ฅ.
IDArb: Intrinsic Decomposition for Arbitrary Number of Input Views and Illuminations
·3273 words·16 mins·
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๐ค Daily Papers
Computer Vision
3D Vision
๐ข Chinese University of Hong Kong
IDArb: Decomposition under varied lights.
GeoX: Geometric Problem Solving Through Unified Formalized Vision-Language Pre-training
·2232 words·11 mins·
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๐ค Daily Papers
Multimodal Learning
Vision-Language Models
๐ข Shanghai Jiao Tong University
GeoX: MLLM๋ณด๋ค ๋ฐ์ด๋ ๊ธฐํํ์ ๋ฌธ์ ํด๊ฒฐ์ฌ!
ColorFlow: Retrieval-Augmented Image Sequence Colorization
·2273 words·11 mins·
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๐ค Daily Papers
Computer Vision
Image Generation
๐ข Tsinghua University
๋งํ ์ฑ์ ์๋ํ: ColorFlow๋ ID ์ผ๊ด์ฑ์ ์ ์งํ๋ฉด์ ํ๋ฐฑ ๋งํ ์ํ์ค๋ฅผ ์ฑ์ํฉ๋๋ค.
Causal Diffusion Transformers for Generative Modeling
·4953 words·24 mins·
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๐ค Daily Papers
Computer Vision
Image Generation
๐ข ByteDance Research
CausalFusion์ ํ์ฐ ๋ฐ ์๊ธฐ ํ๊ท ๋ชจ๋ธ์ ๊ฒฐํฉํ์ฌ ์์ฑ ๋ชจ๋ธ๋ง์์ ์ต์ฒจ๋จ ๊ฒฐ๊ณผ๋ฅผ ๋ฌ์ฑํ๊ณ ์๋ก์ด ๊ธฐ๋ฅ์ ๊ฐ๋ฅํ๊ฒ ํฉ๋๋ค.
VividFace: A Diffusion-Based Hybrid Framework for High-Fidelity Video Face Swapping
·1707 words·9 mins·
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๐ค Daily Papers
Computer Vision
Image Generation
๐ข CUHK MMLab
VividFace: ์ฒซ ๋ฒ์งธ ํ์ฐ ๊ธฐ๋ฐ ๋น๋์ค ์ผ๊ตด ๋ฐ๊พธ๊ธฐ ํ๋ ์์ํฌ๋ก ๊ณ ์ถฉ์ค๋ ๊ฒฐ๊ณผ ์ ๊ณต.
Smaller Language Models Are Better Instruction Evolvers
·4310 words·21 mins·
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๐ค Daily Papers
Natural Language Processing
Large Language Models
๐ข Beijing University of Posts and Telecommunications
์ํ ์ธ์ด ๋ชจ๋ธ์ด ๋ ๋์ ๋ช
๋ น ์์ฑ์!