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Nai Zhou

2 accepted papers

2026

Counterfactual-based Cognitive Alignment In-Context Learning for Relation Extraction

AAAI 2026technical

Large Language Models (LLMs) have demonstrated remarkable In-Context learning (ICL) capabilities for relation extraction (RE). While ICL has shown promise in RE tasks, current approaches face challenges in example selection and utilization. These challenges stem from the misalignment between example

Cited by 0SourcePDFScholar
2025

Enhancing NLU in Large Language Models Using Adversarial Noisy Instruction Tuning

AAAI 2025technical

Instruction tuning has emerged as an effective approach that notably improves large language models (LLMs) performance, showing particular promise in natural language generation tasks by producing more diverse, coherent, and task-relevant outputs. However, extending instruction tuning to natural lan…

Cited by 0SourcePDFScholar