Ethan Bito

s4102812 AT student.rmit.edu.au

I'm an undergraduate researcher at RMIT University in Melbourne, Australia. My research interests include recommender systems, information retrieval, and large language models.

I'm supervised by Yongli Ren and Estrid He on understanding and improving LLM-based recommendation.

I'm looking for PhD opportunities starting in 2027.

Publications

2026

Position Bias Undermines Preference Consistency in Listwise LLM-Based Reranking.

Ethan Bito, Yongli Ren, Estrid He.

RecSys 2026 Proceedings of the 20th ACM Conference on Recommender Systems.

arXiv · Code
One Pass, Any Order: Position-Invariant Listwise Reranking for LLM-Based Recommendation.

Ethan Bito, Yongli Ren, Estrid He.

SIGIR 2026 Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval.

ACM · arXiv · Code

Preprints

2025

Evaluating Position Bias in Large Language Model Recommendation.

Ethan Bito, Yongli Ren, Estrid He.

arXiv:2508.02020.

arXiv

Projects

InvariRank

This repository provides the package code and experiment pipeline for InvariRank, an architecture for position-invariant and position-bias-aware LLM-based recommendation reranking.

GitHub

Education

B.S., in Computer Science, RMIT University

School of Computing Technologies

Advisors: Yongli Ren and Estrid He