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20202026
most citedSense and Sensibility: Characterizing Social Media Users Regarding the Use of Controversial Terms for COVID-19

46 citations · 192 across the 56 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

cs.IR2026

Decision-Oriented Recommendation Reranking: An Empirical Study of Its Promise and Limitations

Hanjia Lyu, Yinglong Xia

Large language models (LLMs) have shown promise for recommendation reranking, but their use introduces an important trade-off between recommendation quality and serving efficiency.…

cs.CL2026

SocioVerse2: A Longitudinal Dynamic Social Simulation Framework under a Human-AI Co-evolutionary Paradigm

Xinnong Zhang, Jiayu Lin, Jia Wang +19

Social simulation offers the social sciences an experimental instrument that the real world cannot supply, and generative agents have transformed it by acting as silicon samples th…

cs.CL2026

Probing Outcome-Level Resemblance and Mechanism-Level Alignment in LLM Risk Decisions: Evidence from the St. Petersburg Game

Chensong Huang, Changyu Chen, Chenwei Lin +3

LLMs can appear cautious in risk decision-making tasks, yet cautious-looking outputs do not necessarily indicate alignment with human decision-making mechanisms. We investigate thi…

cs.CL2026

Revising Context, Shifting Simulated Stance: Auditing LLM-Based Stance Simulation in Online Discussions

Xinnong Zhang, Wanting Shan, Hanjia Lyu +2

Large language models are increasingly used to simulate social media users and infer how individuals may respond to online discussions. However, it remains unclear whether these si…

cs.CL2026

Seeing the Poem: Image-Semantic Detection of AI-Generated Modern Chinese Poetry with MLLMs

Shanshan Wang, Fengying Ye, Hanjia Lyu +6

Previous detection studies have shown that LLMs cannot be effectively used as detectors, but these studies have not addressed modern Chinese poetry. Moreover, no relevant research…