Nigel Collier

Self-Alignment Pretraining for Biomedical Entity Representations

2021

Fangyu Liu, Ehsan Shareghi, Zaiqiao Meng, Marco Basaldella, Nigel Collier. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2021.

FireAct: Toward Language Agent Fine-tuning

2023 · arXiv (Cornell University)

Recent efforts have augmented language models (LMs) with external tools or environments, leading to the development of language agents that can reason and act. However, most of these agents rely on few-shot prompting techniques with …

LUQ: Long-text Uncertainty Quantification for LLMs

2024

Large Language Models (LLMs) have demonstrated remarkable capability in a variety of NLP tasks.However, LLMs are also prone to generate nonfactual content.Uncertainty Quantification (UQ) is pivotal in enhancing our understanding of a model's confidence on …

Prompt Compression for Large Language Models: A Survey

2025

Zongqian Li, Yinhong Liu, Yixuan Su, Nigel Collier. Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). 2025.

Normalising Medical Concepts in Social Media Texts by Learning Semantic Representation

2016

Automatically recognising medical concepts mentioned in social media messages (e.g. tweets) enables several applications for enhancing health quality of people in a community, e.g. real-time monitoring of infectious diseases in population. However, the discrepancy between …

SemEval-2017 Task 2: Multilingual and Cross-lingual Semantic Word Similarity

2017

This paper introduces a new task on Multilingual and Cross-lingual Semantic Word Similarity which measures the semantic similarity of word pairs within and across five languages: English, Farsi, German, Italian and Spanish. High quality datasets …