DuelGAN: A Duel Between Two Discriminators Stabilizes the GAN Training. - Jiaheng Wei; Minghao Liu 009; Jiahao Luo; Andrew Zhu; James Davis 001; Yang Liu 018 (ECCV (23), 2022)

An AI Dungeon Master's Guide: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons. - Pei Zhou; Andrew Zhu; Jennifer Hu 001; Jay Pujara; Xiang Ren 001; Chris Callison-Burch; Yejin Choi 001; Prithviraj Ammanabrolu (CoRR, 2022)

I Cast Detect Thoughts: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons. - Pei Zhou; Andrew Zhu; Jennifer Hu 001; Jay Pujara; Xiang Ren 001; Chris Callison-Burch; Yejin Choi 001; Prithviraj Ammanabrolu (ACL (1), 2023)

FIREBALL: A Dataset of Dungeons and Dragons Actual-Play with Structured Game State Information. - Andrew Zhu; Karmanya Aggarwal; Alexander H. Feng; Lara J. Martin; Chris Callison-Burch (ACL (1), 2023)

CALYPSO: LLMs as Dungeon Master's Assistants. - Andrew Zhu; Lara J. Martin; Andrew Head; Chris Callison-Burch (AIIDE, 2023)

CALYPSO: LLMs as Dungeon Masters' Assistants. - Andrew Zhu; Lara J. Martin; Andrew Head; Chris Callison-Burch (CoRR, 2023)

Kani: A Lightweight and Highly Hackable Framework for Building Language Model Applications. - Andrew Zhu; Liam Dugan; Alyssa Hwang; Chris Callison-Burch (CoRR, 2023)

RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors. - Liam Dugan; Alyssa Hwang; Filip Trhlík; Andrew Zhu; Josh Magnus Ludan; Hainiu Xu; Daphne Ippolito; Chris Callison-Burch (ACL (1), 2024)

FanOutQA: A Multi-Hop, Multi-Document Question Answering Benchmark for Large Language Models. - Andrew Zhu; Alyssa Hwang; Liam Dugan; Chris Callison-Burch (ACL (Short Papers), 2024)

FanOutQA: Multi-Hop, Multi-Document Question Answering for Large Language Models. - Andrew Zhu; Alyssa Hwang; Liam Dugan; Chris Callison-Burch (CoRR, 2024)

ReDel: A Toolkit for LLM-Powered Recursive Multi-Agent Systems. - Andrew Zhu; Liam Dugan; Chris Callison-Burch (CoRR, 2024)

You Have Thirteen Hours in Which to Solve the Labyrinth: Enhancing AI Game Masters with Function Calling. - Jaewoo Song; Andrew Zhu; Chris Callison-Burch (CoRR, 2024)

GenAI Content Detection Task 3: Cross-Domain Machine Generated Text Detection Challenge. - Liam Dugan; Andrew Zhu; Firoj Alam; Preslav Nakov; Marianna Apidianaki; Chris Callison-Burch (COLING Workshops, 2025)

Addressing the Challenges of Planning Language Generation. - Prabhu Prakash Kagitha; Andrew Zhu; Li Zhang (CoRR, 2025)

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay. - Andrew Zhu; Evan Osgood; Chris Callison-Burch (CoRR, 2025)

Improved Accuracy in Pelvic Tumor Resections Using a Real-Time Vision-Guided Surgical System. - Vahid Danesh; Paul Arauz; Maede Boroji; Andrew Zhu; Mia Cottone; Elaine Gould; Fazel A. Khan; Imin Kao (CoRR, 2025)

PAL: Designing Conversational Agents as Scalable, Cooperative Patient Simulators for Palliative-Care Training. - Neil K. R. Sehgal; Hita Kambhamettu; Allen Chang; Andrew Zhu; Lyle H. Ungar; Sharath Chandra Guntuku (CoRR, 2025)