activity
20172026
most citedEvolutionary Multitasking for Single-objective Continuous Optimization: Benchmark Problems, Performance Metric, and Baseline Results

137 citations · 143 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2026

A self-evolving multi-role collaborative framework with fine-grained difficulty guidance for innovative mathematical problem generation

Yifei Sun, Yongan Li, A. K. Qin +2

Mathematical problem generation (MPG) is a significant research direction in the field of intelligent education. In recent years, the rapid development of large language models (LL…

physics.med-ph2026

Human-like AI-based Auto-Field-in-Field Whole-Brain Radiotherapy Treatment Planning With Conversation Large Language Model Feedback

Adnan Jafar, An Qin, Gavin Atkins +3

Whole-brain radiotherapy (WBRT) is a common treatment due to its simplicity and effectiveness. While automated Field-in-Field (Auto-FiF) functions assist WBRT planning in modern tr…

cs.CL2025★ 1 cited

Steering Evaluation-Aware Language Models to Act Like They Are Deployed

Tim Tian Hua, Andrew Qin, Samuel Marks +1

Large language models (LLMs) can sometimes detect when they are being evaluated and adjust their behavior to appear more aligned, compromising the reliability of safety evaluations…

cs.LG2024★ 5 cited

Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry

Yoel Zimmermann, Adib Bazgir, Zartashia Afzal +141

Here, we present the outcomes from the second Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry, which engaged participants across global hyb…

cs.LG2024

SOFIM: Stochastic Optimization Using Regularized Fisher Information Matrix

Mrinmay Sen, A. K. Qin, Gayathri C +3

This paper introduces a new stochastic optimization method based on the regularized Fisher information matrix (FIM), named SOFIM, which can efficiently utilize the FIM to approxima…

cs.NE2017★ 137 cited

Evolutionary Multitasking for Single-objective Continuous Optimization: Benchmark Problems, Performance Metric, and Baseline Results

Bingshui Da, Yew-Soon Ong, Liang Feng +6

In this report, we suggest nine test problems for multi-task single-objective optimization (MTSOO), each of which consists of two single-objective optimization tasks that need to b…