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20232026
most citedScaling Up LLM Reviews for Google Ads Content Moderation

13 citations · 52 across the 48 of their papers we have counts for

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Showing 2023 · cs.CVShow all

5 papers · 2 filters

cs.CV2023★ 3 cited

Holodeck: Language Guided Generation of 3D Embodied AI Environments

Yue Yang, Fan-Yun Sun, Luca Weihs +11

3D simulated environments play a critical role in Embodied AI, but their creation requires expertise and extensive manual effort, restricting their diversity and scope. To mitigate…

cs.CV2023★ 1 cited

Visual Program Distillation: Distilling Tools and Programmatic Reasoning into Vision-Language Models

Yushi Hu, Otilia Stretcu, Chun-Ta Lu +5

Solving complex visual tasks such as "Who invented the musical instrument on the right?" involves a composition of skills: understanding space, recognizing instruments, and also re…

cs.CV2023★ 3 cited

DreamSync: Aligning Text-to-Image Generation with Image Understanding Feedback

Jiao Sun, Deqing Fu, Yushi Hu +8

Despite their wide-spread success, Text-to-Image models (T2I) still struggle to produce images that are both aesthetically pleasing and faithful to the user's input text. We introd…

cs.CV2023★ 2 cited

Selective Visual Representations Improve Convergence and Generalization for Embodied AI

Ainaz Eftekhar, Kuo-Hao Zeng, Jiafei Duan +3

Embodied AI models often employ off the shelf vision backbones like CLIP to encode their visual observations. Although such general purpose representations encode rich syntactic an…

cs.CV2023★ 8 cited

Davidsonian Scene Graph: Improving Reliability in Fine-grained Evaluation for Text-to-Image Generation

Jaemin Cho, Yushi Hu, Roopal Garg +6

Evaluating text-to-image models is notoriously difficult. A strong recent approach for assessing text-image faithfulness is based on QG/A (question generation and answering), which…