3 papers
cs.CL2026
IntroLM: Introspective Language Models via Prefilling-Time Self-Evaluation
Hossein Hosseini Kasnavieh, Gholamreza Haffari, Chris Leckie +1
A major challenge for the operation of large language models (LLMs) is how to predict whether a specific LLM will produce sufficiently high-quality output for a given query. Existi…
cs.DB2025
CoLSE: A Lightweight and Robust Hybrid Learned Model for Single-Table Cardinality Estimation using Joint CDF
Lankadinee Rathuwadu, Guanli Liu, Christopher Leckie +1
Cardinality estimation (CE), the task of predicting the result size of queries is a critical component of query optimization. Accurate estimates are essential for generating effici…
cs.AI2024
Long-term Fairness in Ride-Hailing Platform
Yufan Kang, Jeffrey Chan, Wei Shao +2
Matching in two-sided markets such as ride-hailing has recently received significant attention. However, existing studies on ride-hailing mainly focus on optimising efficiency, and…