activity
20182026
most citedProcedural Content Generation in Games: A Survey with Insights on Emerging LLM Integration

28 citations · 50 across the 13 of their papers we have counts for

collaborators

13 papers

cs.AI2026

Enforcing Narrative Reliability and Epistemic Pacing in LLM-Driven Detective Games via Structured Knowledge Trees

Parsa Rahmati, Richard Zhao

Large Language Models (LLMs) enable open-ended dialogue in interactive games, but their non-deterministic outputs make it difficult to preserve authorial control, factual consisten…

cs.MM2026

From Design Principles to Prototype: A Game for Students with ADHD and Learning Disabilities Transitioning to Post-Secondary Education

Avery Keuben, Talaal Irtija, Joseph Tandyo +7

Students with Attention Deficit Hyperactivity Disorder (ADHD) and Learning Disabilities (LD) can face significant academic, social, and organizational challenges when transitioning…

eess.SY2025★ 7 cited

Towards Smart Manufacturing Metaverse via Digital Twinning in Extended Reality

Hui Yang, Faisal Aqlan, Richard Zhao

The rapid evolution of modern manufacturing systems is driven by the integration of emerging metaverse technologies such as artificial intelligence (AI), digital twin (DT) with dif…

cs.AI2025★ 1 cited

From Frustration to Fun: An Adaptive Problem-Solving Puzzle Game Powered by Genetic Algorithm

Matthew McConnell, Richard Zhao

This paper explores adaptive problem solving with a game designed to support the development of problem-solving skills. Using an adaptive, AI-powered puzzle game, our adaptive prob…

cs.CV2025

From Unstable to Playable: Stabilizing Angry Birds Levels via Object Segmentation

Mahdi Farrokhimaleki, Parsa Rahmati, Richard Zhao

Procedural Content Generation (PCG) techniques enable automatic creation of diverse and complex environments. While PCG facilitates more efficient content creation, ensuring consis…

cs.CL2025

A Rhythm-Aware Phrase Insertion for Classical Arabic Poetry Composition

Mohamad Elzohbi, Richard Zhao

This paper presents a methodology for inserting phrases in Arabic poems to conform to a specific rhythm using ByT5, a byte-level multilingual transformer-based model. Our work disc…

cs.LG2024

Enhancing Two-Player Performance Through Single-Player Knowledge Transfer: An Empirical Study on Atari 2600 Games

Kimiya Saadat, Richard Zhao

Playing two-player games using reinforcement learning and self-play can be challenging due to the complexity of two-player environments and the possible instability in the training…

cs.AI2024★ 28 cited

Procedural Content Generation in Games: A Survey with Insights on Emerging LLM Integration

Mahdi Farrokhi Maleki, Richard Zhao

Procedural Content Generation (PCG) is defined as the automatic creation of game content using algorithms. PCG has a long history in both the game industry and the academic world.…

cs.CL2024★ 1 cited

Let the Poem Hit the Rhythm: Using a Byte-Based Transformer for Beat-Aligned Poetry Generation

Mohamad Elzohbi, Richard Zhao

The intersection between poetry and music provides an interesting case for computational creativity, yet remains relatively unexplored. This paper explores the integration of poetr…

cs.CL2023★ 1 cited

ContrastWSD: Enhancing Metaphor Detection with Word Sense Disambiguation Following the Metaphor Identification Procedure

Mohamad Elzohbi, Richard Zhao

This paper presents ContrastWSD, a RoBERTa-based metaphor detection model that integrates the Metaphor Identification Procedure (MIP) and Word Sense Disambiguation (WSD) to extract…

cs.CL2023★ 3 cited

Creative Data Generation: A Review Focusing on Text and Poetry

Mohamad Elzohbi, Richard Zhao

The rapid advancement in machine learning has led to a surge in automatic data generation, making it increasingly challenging to differentiate between naturally or human-generated…

cs.AI2022

Exploring Adaptive MCTS with TD Learning in miniXCOM

Kimiya Saadat, Richard Zhao

In recent years, Monte Carlo tree search (MCTS) has achieved widespread adoption within the game community. Its use in conjunction with deep reinforcement learning has produced suc…

stat.ME2018★ 9 cited

Intentional Control of Type I Error over Unconscious Data Distortion: a Neyman-Pearson Approach to Text Classification

Lucy Xia, Richard Zhao, Yanhui Wu +1

This paper addresses the challenges in classifying textual data obtained from open online platforms, which are vulnerable to distortion. Most existing classification methods minimi…