Papers by Minghao Su

2 papers
TwinVoice: A Multi-dimensional Benchmark Towards Digital Twins via LLM Persona Simulation (2026.findings-acl)

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Challenge: Existing studies show that advanced LLMs produce text indistinguishable from human writing.
Approach: They propose a benchmark to assess persona simulation across diverse contexts by decomposing the evaluation into six fundamental capabilities including opinion consistency, memory recall, logical reasoning, persona tone, and syntactic style.
Outcome: The proposed model achieves moderate accuracy but falls short of the basic capabilities needed to simulate personas in real-world contexts.
Reasoning Fails Where Step Flow Breaks (2026.acl-long)

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Challenge: Existing analysis tools struggle with long chain of thought traces.
Approach: They propose a saliency-inspired test-time intervention that adjusts shallow saliencies to improve accuracy on math, science, and coding tasks.
Outcome: The proposed model improves accuracy on math, science, and coding tasks without retraining.

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