Jing Shao

Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction

2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

In this paper, we propose an effective yet efficient model PAIE for both sentence-level and document-level Event Argument Extraction (EAE), which also generalizes well when there is a lack of training data. On the one …

Assessment of Multimodal Large Language Models in Alignment with Human Values

2024 · arXiv (Cornell University)

Large Language Models (LLMs) aim to serve as versatile assistants aligned with human values, as defined by the principles of being helpful, honest, and harmless (hhh). However, in terms of Multimodal Large Language Models (MLLMs), …

The Tug of War Within: Mitigating the Fairness-Privacy Conflicts in Large Language Models

2025

Ensuring awareness of fairness and privacy in Large Language Models (LLMs) is critical.Interestingly, we discover a counterintuitive trade-off phenomenon that enhancing an LLM's privacy awareness through Supervised Fine-Tuning (SFT) methods significantly decreases its fairness awareness …

Layer-Aware Representation Filtering: Purifying Finetuning Data to Preserve LLM Safety Alignment

2025 · arXiv (Cornell University)

With rapid advancement and increasing accessibility of LLMs, fine-tuning aligned models has become a critical step for adapting them to real-world applications, which makes the safety of this fine-tuning process more important than ever. However, …