Andrew Zhu

According to our database, Andrew Zhu authored at least 12 papers between 2022 and 2024.

Collaborative distances:

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

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

ReDel: A Toolkit for LLM-Powered Recursive Multi-Agent Systems.

Andrew Zhu, Liam Dugan, 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

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, 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