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From the 1 of 8 linked papers with an AI index.

collaborators

8 papers

cs.CL2026

Mitigating Identity Essentialism in LLM Agents with Longitudinal Life Trajectories

Hexi Wang, Yujia Zhou, Bangde Du +7

Large language models (LLMs) offer a scalable approach to social simulation, but their credibility depends on how agents are constructed. Existing methods can partially reproduce p…

cs.AI2026

Different Feedback, Different Updates: Selective Self-Learning from User Interactions for Large Language Models

Xuanchen Li, Haitao Li, Yujia Zhou +5

User feedback offers natural supervision for persistent LLM improvement, but a single message may support multiple behavioral changes with different scopes of generalization. We in…

cs.MM2026

What Would You Click? Personalized Video Thumbnail Generation with Preference-aware Highlight Retrieval

Zhiyu He, Zecheng Zhao, Tong Chen +3

The paper proposes a two‑stage system that first retrieves user‑specific video highlights and then generates personalized video thumbnails using a diffusion model guided by visual‑…

cs.CL2026

Benchmarking LLM-as-a-Judge for Long-Form Output Evaluation

Junjie Chen, Yuxi Dong, Haitao Li +6

As large language models (LLMs) are increasingly used for long-form generation, reliably evaluating long-form outputs has become a critical challenge. LLM-as-a-judge offers a scala…

cs.CL2026

ATACompressor: Adaptive Task-Aware Compression for Efficient Long-Context Processing in LLMs

Xuancheng Li, Haitao Li, Yujia Zhou +2

Long-context inputs in large language models (LLMs) often suffer from the "lost in the middle" problem, where critical information becomes diluted or ignored due to excessive lengt…

cs.SI2025

Investigating Prosocial Behavior Theory in LLM Agents under Policy-Induced Inequities

Yujia Zhou, Hexi Wang, Qingyao Ai +2

As large language models (LLMs) increasingly operate as autonomous agents in social contexts, evaluating their capacity for prosocial behavior is both theoretically and practically…