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20232026
most citedA Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics

28 citations · 60 across the 24 of their papers we have counts for

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9 papers · 1 filter

cs.AI2026★ 2 cited

OmniSapiens: A Foundation Model for Social Behavior Processing via Heterogeneity-Aware Relative Policy Optimization

Keane Ong, Sabri Boughorbel, Luwei Xiao +9

Socially intelligent AI systems must reason across diverse human behavioral tasks and generalize to new social contexts. However, behavioral data is inherently heterogeneous, compr…

cs.AI2025★ 1 cited

Robust Multimodal Sentiment Analysis via Double Information Bottleneck

Huiting Huang, Tieliang Gong, Kai He +3

Multimodal sentiment analysis has received significant attention across diverse research domains. Despite advancements in algorithm design, existing approaches suffer from two crit…

cs.AI2025

Individualized Cognitive Simulation in Large Language Models: Evaluating Different Cognitive Representation Methods

Tianyi Zhang, Xiaolin Zhou, Yunzhe Wang +3

Individualized cognitive simulation (ICS) aims to build computational models that approximate the thought processes of specific individuals. While large language models (LLMs) conv…

cs.AI2025

Human Behavior Atlas: Benchmarking Unified Psychological and Social Behavior Understanding

Keane Ong, Wei Dai, Carol Li +8

Using intelligent systems to perceive psychological and social behaviors, that is, the underlying affective, cognitive, and pathological states that are manifested through observab…

cs.AI2025

Bridging Minds and Machines: Toward an Integration of AI and Cognitive Science

Rui Mao, Qian Liu, Xiao Li +2

Cognitive Science has profoundly shaped disciplines such as Artificial Intelligence (AI), Philosophy, Psychology, Neuroscience, Linguistics, and Culture. Many breakthroughs in AI t…

cs.AI2025

From Query to Explanation: Uni-RAG for Multi-Modal Retrieval-Augmented Learning in STEM

Xinyi Wu, Yanhao Jia, Luwei Xiao +3

In AI-facilitated teaching, leveraging various query styles to interpret abstract educational content is crucial for delivering effective and accessible learning experiences. Howev…