Andrew Zhu

According to our database, Andrew Zhu authored at least 19 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

BabyVLM-V2: Toward Developmentally Grounded Pretraining and Benchmarking of Vision Foundation Models.

Shengao Wang, Wenqi Wang, Zecheng Wang, Max Whitton, Michael Wakeham, Arjun Chandra, Joey Huang, Pengyue Zhu, Helen Chen, David Li, Jeffrey Li, Shawn Li, Andrew Zagula, Amy Zhao, Andrew Zhu, Sayaka Nakamura, Yuki Yamamoto, Jerry Jun Yokono, Aaron Mueller, Bryan A. Plummer, Kate Saenko, Venkatesh Saligrama, Boqing Gong

CoRR, December, 2025

Overhearing LLM Agents: A Survey, Taxonomy, and Roadmap.

Andrew Zhu, Chris Callison-Burch

CoRR, September, 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, May, 2025

First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay.

Andrew Zhu, Evan Osgood, Chris Callison-Burch

CoRR, May, 2025

Addressing the Challenges of Planning Language Generation.

Prabhu Prakash Kagitha, Andrew Zhu, Li Zhang

CoRR, May, 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

Proceedings of the Companion Publication of the 2025 Conference on Computer-Supported Cooperative Work and Social Computing, 2025

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

Proceedings of the 31st International Conference on Computational Linguistics, 2025

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

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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

FanOutQA: A Multi-Hop, Multi-Document Question Answering Benchmark for Large Language Models.

Andrew Zhu, Alyssa Hwang, Liam Dugan, Chris Callison-Burch

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2024

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Kani: A Lightweight and Highly Hackable Framework for Building Language Model Applications.

Andrew Zhu, Liam Dugan, Alyssa Hwang, Chris Callison-Burch

CoRR, 2023

CALYPSO: LLMs as Dungeon Masters' Assistants.

Andrew Zhu, Lara J. Martin, Andrew Head, Chris Callison-Burch

CoRR, 2023

CALYPSO: LLMs as Dungeon Master's Assistants.

Andrew Zhu, Lara J. Martin, Andrew Head, Chris Callison-Burch

Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

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, Jay Pujara, Xiang Ren, Chris Callison-Burch, Yejin Choi, Prithviraj Ammanabrolu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

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, Jay Pujara, Xiang Ren, Chris Callison-Burch, Yejin Choi, Prithviraj Ammanabrolu

CoRR, 2022

DuelGAN: A Duel Between Two Discriminators Stabilizes the GAN Training.

Jiaheng Wei, Minghao Liu, Jiahao Luo, Andrew Zhu, James Davis, Yang Liu

Proceedings of the Computer Vision - ECCV 2022, 2022