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Author

Yi Lu

University of Toronto

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#artificial intelligence Review Oct 2026

AgentPersonaBench: Benchmarking Persona-Driven User Simulation

We introduce AgentPersonaBench (APB), a benchmark evaluating whether persona conditioning faithfully steers downstream agent behavior. While language models are increasingly deployed for persona-driven user simulation, existing benchmarks primarily evaluate conversational styling or self-reports rather than authentic b...

Jin-Tao Huang, Yi-Fan Wang, Hong-Yuan Shen et al. · 0 citations
Preprint Aug 2026

OmniEdit-Bench: A Comprehensive Benchmark for Instruction-based Video Editing

The OmniEdit-Bench provides a comprehensive and reliable testbed for evaluating instruction-based video editing and offers insights into future research directions, including an accuracy-aware penalty mechanism that conditions other scores on accuracy, preventing visually plausible but incorrect edits from receiving in...

Chenxuan Miao, Yutong Feng, Yi Lu et al. · 1 citation
#natural language process... Preprint Aug 2026

Graph Evidence Is Not Enough: Diagnosing Native Decoder Use in Graph-Augmented LLMs

This work presents S$^2$GE as an instance showing that diagnosis-driven interface design can improve native decoder usability and introduces an intervention triangle with three matched conditions: readable graph evidence, shuffled graph evidence, and no-graph input that separates evidence inclusion, structural readabil...

Xiao-Yu Guo, Peng-Cheng Chen, Jiong Yu et al. · 0 citations

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