IPS: In-Prompt Process Supervision for Short Video Content Moderation

Lora: Low-rank adaptation of large language models

Original

Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen. 2021 · 2021

Earlier work this paper cites.

Vlmo: Unified vision-language pre-training with mixture-of-modality-experts

Hangbo Bao, Wenhui Wang, Li Dong, Qiang Liu, Owais Khan Mohammed, Kriti Aggarwal, Subhojit Som, Songhao Piao, and Furu Wei. 2022 · 2022

Earlier work this paper cites.

Solving math word problems with process-and outcome-based feedback

Original

Jonathan Uesato, Nate Kushman, Ramana Kumar, Francis Song, Noah Siegel, Lisa Wang, Antonia Creswell, Geoffrey Irving, and Irina Higgins. 2022 · 2022

Earlier work this paper cites.

Chain-of-thought prompting elicits reasoning in large language models

Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, and 1 others. 2022 · 2022

Earlier work this paper cites.

Gpt-4 technical report

Original

Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, and 1 others. 2023 · 2023

Earlier work this paper cites.

Let’s verify step by step

Hunter Lightman, Vineet Kosaraju, Yuri Burda, Harrison Edwards, Bowen Baker, Teddy Lee, Jan Leike, John Schulman, Ilya Sutskever, and Karl Cobbe. 2023 · 2023

Earlier work this paper cites.

Large language model guided tree-of-thought

Original

Jieyi Long. 2023 · 2023

Earlier work this paper cites.

Adapting large language models for content moderation: Pitfalls in data engineering and supervised fine-tuning

Original

Huan Ma, Changqing Zhang, Huazhu Fu, Peilin Zhao, and Bingzhe Wu. 2023 · 2023

Earlier work this paper cites.

Gemini: a family of highly capable multimodal models

Original

Gemini Team, Rohan Anil, Sebastian Borgeaud, Jean-Baptiste Alayrac, Jiahui Yu, Radu Soricut, Johan Schalkwyk, Andrew M Dai, Anja Hauth, Katie Millican, and 1 others. 2023 · 2023

Earlier work this paper cites.

Scaling relationship on learning mathematical reasoning with large language models

Original

Zheng Yuan, Hongyi Yuan, Chengpeng Li, Guanting Dong, Keming Lu, Chuanqi Tan, Chang Zhou, and Jingren Zhou. 2023 · 2023

Cited alongside, same era.

Sigmoid loss for language image pre-training

Xiaohua Zhai, Basil Mustafa, Alexander Kolesnikov, and Lucas Beyer. 2023 · 2023

Cited alongside, same era.

Video-llama: An instruction-tuned audio-visual language model for video understanding

Original

Hang Zhang, Xin Li, and Lidong Bing. 2023 · 2023

Cited alongside, same era.

Graph of thoughts: Solving elaborate problems with large language models

Maciej Besta, Nils Blach, Ales Kubicek, Robert Gerstenberger, Michal Podstawski, Lukas Gianinazzi, Joanna Gajda, Tomasz Lehmann, Hubert Niewiadomski, Piotr Nyczyk, and 1 others. 2024 · 2024

Cited alongside, same era.

Mm-soc: Benchmarking multimodal large language models in social media platforms

Original

Contextual integrity in LLMs via reasoning and reinforcement learning

Guangchen Lan, Huseyin A Inan, Sahar Abdelnabi, Janardhan Kulkarni, Lukas Wutschitz, Reza Shokri, Christopher G Brinton, and Robert Sim. 2025 · 2025

Closest in time.

Audio-enhanced vision-language modeling with latent space broadening for high quality data expansion

Yu Sun, Yin Li, Ruixiao Sun, Chunhui Liu, Fangming Zhou, Ze Jin, Linjie Wang, Xiang Shen, Zhuolin Hao, and Hongyu Xiong. 2025 · 2025

Closest in time.

Qwen2.5-vl

Qwen Team. 2025 · 2025

Closest in time.

Reasoning-enhanced domain-adaptive pretraining of multimodal large language models for short video content governance

Zixuan Wang, Yu Sun, Hongwei Wang, Baoyu Jing, Xiang Shen, Xin Dong, Zhuolin Hao, Hongyu Xiong, and Yang Song. 2025 · 2025

Closest in time.

Promptsculptor: Multi-agent based text-to-image prompt optimization

Original

Dawei Xiang, Wenyan Xu, Kexin Chu, Tianqi Ding, Zixu Shen, Yiming Zeng, Jianchang Su, and Wei Zhang. 2025 · 2025

Closest in time.