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20222026
most citedHumanity's Last Exam

23 citations · 61 across the 32 of their papers we have counts for

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6 papers · 1 filter

cs.CV2023★ 3 cited

Inversion-Free Image Editing with Natural Language

Sihan Xu, Yidong Huang, Jiayi Pan +2

Despite recent advances in inversion-based editing, text-guided image manipulation remains challenging for diffusion models. The primary bottlenecks include 1) the time-consuming n…

cs.CL2023

Towards A Holistic Landscape of Situated Theory of Mind in Large Language Models

Ziqiao Ma, Jacob Sansom, Run Peng +1

Large Language Models (LLMs) have generated considerable interest and debate regarding their potential emergence of Theory of Mind (ToM). Several recent inquiries reveal a lack of…

cs.CV2023★ 7 cited

CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image Manipulation

Sihan Xu, Ziqiao Ma, Yidong Huang +2

Diffusion models (DMs) have enabled breakthroughs in image synthesis tasks but lack an intuitive interface for consistent image-to-image (I2I) translation. Various methods have bee…

cs.CL2023

NLP Reproducibility For All: Understanding Experiences of Beginners

Shane Storks, Keunwoo Peter Yu, Ziqiao Ma +1

As natural language processing (NLP) has recently seen an unprecedented level of excitement, and more people are eager to enter the field, it is unclear whether current research re…

cs.CL2023★ 1 cited

World-to-Words: Grounded Open Vocabulary Acquisition through Fast Mapping in Vision-Language Models

Ziqiao Ma, Jiayi Pan, Joyce Chai

The ability to connect language units to their referents in the physical world, referred to as grounding, is crucial to learning and understanding grounded meanings of words. While…

cs.AI2023★ 4 cited

Towards Collaborative Plan Acquisition through Theory of Mind Modeling in Situated Dialogue

Cristian-Paul Bara, Ziqiao Ma, Yingzhuo Yu +2

Collaborative tasks often begin with partial task knowledge and incomplete initial plans from each partner. To complete these tasks, agents need to engage in situated communication…