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2020 – today
- 2024
[c6]Andrew Zhu, Alyssa Hwang, Liam Dugan, Chris Callison-Burch:
FanOutQA: A Multi-Hop, Multi-Document Question Answering Benchmark for Large Language Models. ACL (Short Papers) 2024: 18-37- [c5]Liam Dugan, Alyssa Hwang, Filip Trhlík, Andrew Zhu, Josh Magnus Ludan, Hainiu Xu, Daphne Ippolito, Chris Callison-Burch:
RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors. ACL (1) 2024: 12463-12492 - [i8]Andrew Zhu, Alyssa Hwang, Liam Dugan, Chris Callison-Burch:
FanOutQA: Multi-Hop, Multi-Document Question Answering for Large Language Models. CoRR abs/2402.14116 (2024) - [i7]Liam Dugan, Alyssa Hwang, Filip Trhlík, Josh Magnus Ludan, Andrew Zhu, Hainiu Xu, Daphne Ippolito, Chris Callison-Burch:
RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors. CoRR abs/2405.07940 (2024) - [i6]Andrew Zhu, Liam Dugan
, Chris Callison-Burch:
ReDel: A Toolkit for LLM-Powered Recursive Multi-Agent Systems. CoRR abs/2408.02248 (2024) - [i5]Jaewoo Song, Andrew Zhu, Chris Callison-Burch:
You Have Thirteen Hours in Which to Solve the Labyrinth: Enhancing AI Game Masters with Function Calling. CoRR abs/2409.06949 (2024) - 2023
- [c4]Andrew Zhu, Karmanya Aggarwal, Alexander H. Feng, Lara J. Martin, Chris Callison-Burch:
FIREBALL: A Dataset of Dungeons and Dragons Actual-Play with Structured Game State Information. ACL (1) 2023: 4171-4193 - [c3]Pei Zhou, Andrew Zhu, Jennifer Hu, Jay Pujara, Xiang Ren, Chris Callison-Burch, Yejin Choi, Prithviraj Ammanabrolu:
I Cast Detect Thoughts: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons. ACL (1) 2023: 11136-11155 - [c2]Andrew Zhu, Lara J. Martin, Andrew Head, Chris Callison-Burch:
CALYPSO: LLMs as Dungeon Master's Assistants. AIIDE 2023: 380-390 - [i4]Andrew Zhu, Karmanya Aggarwal, Alexander H. Feng, Lara J. Martin, Chris Callison-Burch:
FIREBALL: A Dataset of Dungeons and Dragons Actual-Play with Structured Game State Information. CoRR abs/2305.01528 (2023) - [i3]Andrew Zhu, Lara J. Martin, Andrew Head, Chris Callison-Burch:
CALYPSO: LLMs as Dungeon Masters' Assistants. CoRR abs/2308.07540 (2023) - [i2]Andrew Zhu, Liam Dugan, Alyssa Hwang, Chris Callison-Burch:
Kani: A Lightweight and Highly Hackable Framework for Building Language Model Applications. CoRR abs/2309.05542 (2023) - 2022
- [c1]Jiaheng Wei, Minghao Liu, Jiahao Luo, Andrew Zhu, James Davis, Yang Liu:
DuelGAN: A Duel Between Two Discriminators Stabilizes the GAN Training. ECCV (23) 2022: 290-317 - [i1]Pei Zhou, Andrew Zhu, Jennifer Hu, Jay Pujara, Xiang Ren, Chris Callison-Burch, Yejin Choi, Prithviraj Ammanabrolu:
An AI Dungeon Master's Guide: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons. CoRR abs/2212.10060 (2022)
Coauthor Index
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