Andrew Zhu

24 papers Journal 15Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Addressing the Challenges of Planning Language Generation.
CoRR
Prabhu Prakash Kagitha, Andrew Zhu, Li Zhang
2025 J jnl
BabyVLM-V2: Toward Developmentally Grounded Pretraining and Benchmarking of Vision Foundation Models.
CoRR
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
2025 J jnl
First Steps Towards Overhearing LLM Agents: A Case Study With Dungeons & Dragons Gameplay.
CoRR
Andrew Zhu, Evan Osgood, Chris Callison-Burch
2025 — conf
GenAI Content Detection Task 3: Cross-Domain Machine Generated Text Detection Challenge.
COLING Workshops
Liam Dugan, Andrew Zhu, Firoj Alam, Preslav Nakov, Marianna Apidianaki, Chris Callison-Burch
2025 J jnl
GenAI Content Detection Task 3: Cross-Domain Machine-Generated Text Detection Challenge.
CoRR
Liam Dugan, Andrew Zhu, Firoj Alam, Preslav Nakov, Marianna Apidianaki, Chris Callison-Burch
2025 J jnl
Improved Accuracy in Pelvic Tumor Resections Using a Real-Time Vision-Guided Surgical System.
CoRR
Vahid Danesh, Paul Arauz, Maede Boroji, Andrew Zhu, Mia Cottone, Elaine Gould, Fazel A. Khan, Imin Kao
2025 J jnl
Overhearing LLM Agents: A Survey, Taxonomy, and Roadmap.
CoRR
Andrew Zhu, Chris Callison-Burch
2025 J jnl
PAL: Designing Conversational Agents as Scalable, Cooperative Patient Simulators for Palliative-Care Training.
CoRR
Neil K. R. Sehgal, Hita Kambhamettu, Allen Chang, Andrew Zhu, Lyle H. Ungar, Sharath Chandra Guntuku
2025 — conf
PAL: Designing Conversational Agents as Scalable, Cooperative Patient Simulators for Palliative‑Care Training.
CSCW Companion
Neil K. R. Sehgal, Hita Kambhamettu, Allen Chang, Andrew Zhu, Lyle H. Ungar, Sharath Chandra Guntuku
2024 — conf
FanOutQA: A Multi-Hop, Multi-Document Question Answering Benchmark for Large Language Models.
ACL (Short Papers)
Andrew Zhu, Alyssa Hwang, Liam Dugan, Chris Callison-Burch
2024 J jnl
FanOutQA: Multi-Hop, Multi-Document Question Answering for Large Language Models.
CoRR
Andrew Zhu, Alyssa Hwang, Liam Dugan, Chris Callison-Burch
2024 — conf
RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors.
ACL (1)
Liam Dugan, Alyssa Hwang, Filip Trhlík, Andrew Zhu, Josh Magnus Ludan, Hainiu Xu, Daphne Ippolito, Chris Callison-Burch
2024 J jnl
RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors.
CoRR
Liam Dugan, Alyssa Hwang, Filip Trhlík, Josh Magnus Ludan, Andrew Zhu, Hainiu Xu, Daphne Ippolito, Chris Callison-Burch
2024 — conf
ReDel: A Toolkit for LLM-Powered Recursive Multi-Agent Systems.
EMNLP (System Demonstrations)
Andrew Zhu, Liam Dugan, Chris Callison-Burch
2024 J jnl
ReDel: A Toolkit for LLM-Powered Recursive Multi-Agent Systems.
CoRR
Andrew Zhu, Liam Dugan, Chris Callison-Burch
2024 J jnl
You Have Thirteen Hours in Which to Solve the Labyrinth: Enhancing AI Game Masters with Function Calling.
CoRR
Jaewoo Song, Andrew Zhu, Chris Callison-Burch
2023 — conf
CALYPSO: LLMs as Dungeon Master's Assistants.
AIIDE
Andrew Zhu, Lara J. Martin, Andrew Head, Chris Callison-Burch
2023 J jnl
CALYPSO: LLMs as Dungeon Masters' Assistants.
CoRR
Andrew Zhu, Lara J. Martin, Andrew Head, Chris Callison-Burch
2023 — conf
FIREBALL: A Dataset of Dungeons and Dragons Actual-Play with Structured Game State Information.
ACL (1)
Andrew Zhu, Karmanya Aggarwal, Alexander H. Feng, Lara J. Martin, Chris Callison-Burch
2023 J jnl
FIREBALL: A Dataset of Dungeons and Dragons Actual-Play with Structured Game State Information.
CoRR
Andrew Zhu, Karmanya Aggarwal, Alexander H. Feng, Lara J. Martin, Chris Callison-Burch
2023 — conf
I Cast Detect Thoughts: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons.
ACL (1)
Pei Zhou, Andrew Zhu, Jennifer Hu, Jay Pujara, Xiang Ren, Chris Callison-Burch, Yejin Choi, Prithviraj Ammanabrolu
2023 J jnl
Kani: A Lightweight and Highly Hackable Framework for Building Language Model Applications.
CoRR
Andrew Zhu, Liam Dugan, Alyssa Hwang, Chris Callison-Burch
2022 J jnl
An AI Dungeon Master's Guide: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons.
CoRR
Pei Zhou, Andrew Zhu, Jennifer Hu, Jay Pujara, Xiang Ren, Chris Callison-Burch, Yejin Choi, Prithviraj Ammanabrolu
2022 — conf
DuelGAN: A Duel Between Two Discriminators Stabilizes the GAN Training.
ECCV (23)
Jiaheng Wei, Minghao Liu, Jiahao Luo, Andrew Zhu, James Davis, Yang Liu