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Ziqian Liu

2 accepted papers

2026

TASE: Token Awareness and Structured Evaluation for Multilingual Language Models

AAAI 2026technical

While large language models (LLMs) have demonstrated remarkable performance on high-level semantic tasks, they often struggle with fine-grained, token-level understanding and structural reasoning—capabilities that are essential for applications requiring precision and control. We introduce TASE, a c

Cited by 0SourcePDFScholar
2025

PMPO: Probabilistic Metric Prompt Optimization for Small and Large Language Models

EMNLP 2025

Prompt optimization is a practical and widely applicable alternative to fine tuning for improving large language model performance. Yet many existing methods evaluate candidate prompts by sampling full outputs, often coupled with self critique or human annotated preferences, which limits scalability

Cited by 0SourcePDFScholar