AI研究論文デイリー

翻訳付きの日次キュレーションされたAI研究論文

ShareGPT4Video: より優れたキャプションによる映像理解と生成の改善
ShareGPT4Video: Improving Video Understanding and Generation with Better Captions

Lin Chen, Xilin Wei, Jinsong Li, Xiaoyi Dong, Pan Zhang, Yuhang Zang, Zehui Chen, Haodong Duan, Bin Lin, Zhenyu Tang, Li Yuan, Yu Qiao, Dahua Lin, Feng Zhao, Jiaqi Wang•Jun 6, 2024•764

BitsFusion: 拡散モデルの1.99ビット重み量子化
BitsFusion: 1.99 bits Weight Quantization of Diffusion Model

Yang Sui, Yanyu Li, Anil Kag, Yerlan Idelbayev, Junli Cao, Ju Hu, Dhritiman Sagar, Bo Yuan, Sergey Tulyakov, Jian Ren•Jun 6, 2024•393

ステップ認識型選好最適化：各ステップにおける選好とノイズ除去性能の整合
Step-aware Preference Optimization: Aligning Preference with Denoising Performance at Each Step

Zhanhao Liang, Yuhui Yuan, Shuyang Gu, Bohan Chen, Tiankai Hang, Ji Li, Liang Zheng•Jun 6, 2024•312

思考のバッファー：大規模言語モデルを用いた思考拡張推論
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models

Ling Yang, Zhaochen Yu, Tianjun Zhang, Shiyi Cao, Minkai Xu, Wentao Zhang, Joseph E. Gonzalez, Bin Cui•Jun 6, 2024•311

SF-V：シングルフォワード動画生成モデル
SF-V: Single Forward Video Generation Model

Zhixing Zhang, Yanyu Li, Yushu Wu, Yanwu Xu, Anil Kag, Ivan Skorokhodov, Willi Menapace, Aliaksandr Siarohin, Junli Cao, Dimitris Metaxas, Sergey Tulyakov, Jian Ren•Jun 6, 2024•262

VideoTetris: 合成型テキスト-to-ビデオ生成に向けて
VideoTetris: Towards Compositional Text-to-Video Generation

Ye Tian, Ling Yang, Haotian Yang, Yuan Gao, Yufan Deng, Jingmin Chen, Xintao Wang, Zhaochen Yu, Xin Tao, Pengfei Wan, Di Zhang, Bin Cui•Jun 6, 2024•261

AgentGym: 多様な環境における大規模言語モデルベースのエージェントの進化
AgentGym: Evolving Large Language Model-based Agents across Diverse Environments

Zhiheng Xi, Yiwen Ding, Wenxiang Chen, Boyang Hong, Honglin Guo, Junzhe Wang, Dingwen Yang, Chenyang Liao, Xin Guo, Wei He, Songyang Gao, Lu Chen, Rui Zheng, Yicheng Zou, Tao Gui, Qi Zhang, Xipeng Qiu, Xuanjing Huang, Zuxuan Wu, Yu-Gang Jiang•Jun 6, 2024•221

pOps：写真インスパイアード拡散演算子
pOps: Photo-Inspired Diffusion Operators

Elad Richardson, Yuval Alaluf, Ali Mahdavi-Amiri, Daniel Cohen-Or•Jun 3, 2024•180

オープンエンド性は人工超知能にとって不可欠である
Open-Endedness is Essential for Artificial Superhuman Intelligence

Edward Hughes, Michael Dennis, Jack Parker-Holder, Feryal Behbahani, Aditi Mavalankar, Yuge Shi, Tom Schaul, Tim Rocktaschel•Jun 6, 2024•131