13 citations · 26 across the 41 of their papers we have counts for
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cs.AI2024
From Specific-MLLMs to Omni-MLLMs: A Survey on MLLMs Aligned with Multi-modalities
Shixin Jiang, Jiafeng Liang, Jiyuan Wang +6
To tackle complex tasks in real-world scenarios, more researchers are focusing on Omni-MLLMs, which aim to achieve omni-modal understanding and generation. Beyond the constraints o…
cs.AI2024★ 1 cited
GraCoRe: Benchmarking Graph Comprehension and Complex Reasoning in Large Language Models
Zike Yuan, Ming Liu, Hui Wang +1
Evaluating the graph comprehension and reasoning abilities of Large Language Models (LLMs) is challenging and often incomplete. Existing benchmarks focus primarily on pure graph un…
cs.AI2024★ 1 cited
KwaiAgents: Generalized Information-seeking Agent System with Large Language Models
Haojie Pan, Zepeng Zhai, Hao Yuan +5
Driven by curiosity, humans have continually sought to explore and understand the world around them, leading to the invention of various tools to satiate this inquisitiveness. Desp…