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20232026
most citedGalleryGPT: Analyzing Paintings with Large Multimodal Models

33 citations · 36 across the 7 of their papers we have counts for

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7 papers · 1 filter

cs.CL2026

ArtECulture: Benchmarking Culture-Conditioned Visual Emotion Understanding in Multimodal Large Language Models

Xiaolin Chen, Xuemeng Song, Wenhao Shi +3

Existing visual emotion understanding methods typically ignore cultural variations in emotional perception. We introduce culture-conditioned visual emotion understanding, a task th…

cs.CL2025

Multimodal Mathematical Reasoning with Diverse Solving Perspective

Wenhao Shi, Zhiqiang Hu, Yi Bin +4

Recent progress in large-scale reinforcement learning (RL) has notably enhanced the reasoning capabilities of large language models (LLMs), especially in mathematical domains. Howe…

cs.CL2024★ 33 cited

GalleryGPT: Analyzing Paintings with Large Multimodal Models

Yi Bin, Wenhao Shi, Yujuan Ding +5

Artwork analysis is important and fundamental skill for art appreciation, which could enrich personal aesthetic sensibility and facilitate the critical thinking ability. Understand…

cs.CL2024

Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models

Wenhao Shi, Zhiqiang Hu, Yi Bin +5

Large language models (LLMs) have demonstrated impressive reasoning capabilities, particularly in textual mathematical problem-solving. However, existing open-source image instruct…

cs.CL2023★ 1 cited

Solving Math Word Problems with Reexamination

Yi Bin, Wenhao Shi, Yujuan Ding +2

Math word problem (MWP) solving aims to understand the descriptive math problem and calculate the result, for which previous efforts are mostly devoted to upgrade different technic…

cs.CL2023

Non-Autoregressive Sentence Ordering

Yi Bin, Wenhao Shi, Bin Ji +3

Existing sentence ordering approaches generally employ encoder-decoder frameworks with the pointer net to recover the coherence by recurrently predicting each sentence step-by-step…