Hainiu Xu
许海牛
Pronounced as (hai nyou)
Room (N) 5.08
Bush House
Strand Campus, 30 Aldwych,
London, WC2B 4BG
Email: hainiu.xu@kcl.ac.uk
Last Updated:
May 06, 2024
Before KCL, I was a Master's student at the University of Pennsylvania, where I was supervised by Professor Chris Callison-Burch. During my time at Penn, I worked closely with Li "Harry" Zhang, who is an incoming assistant professor at Drexel University. Prior to that, I completed my undergraduate degree in Statistical Data Science at University of California, Davis, where I worked on Functional Principal Component Analysis and Curve Registration with Professor Jane-Ling Wang.
I will be working as a Research Intern at Huawei London Research Centre in the comming summer. Previously, I worked as an AI Enginner Intern at Schlumberger BGC from 2020 to 2021.
Besides work and research, I enjoy reading detective novels and playing the clarinet. I was a member of the UC Davis Concert Band and the UC Davis Symphony Orchestra. I am also a boardgame enthusiast. I particularly love playing The Resistance: Avalon.
My MBTI is ENFJ.
Education
Experience
Publications
OpenToM : A Comprehensive Benchmark
for Evaluating Theory-of-Mind Reasoning Capabilities of Large Language Models
, Runcong Zhao, Lixing Zhu, Jinhua Du, Yulan He
ACL'24
| Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics
website
pdf
abstract
cite
Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for
Prompt-Based Large Language Models and Beyond
Xinyu Wang, , Lin Gui, Yulan He
ACL'24
| Findings of the Association for Computational Linguistics: ACL 2024
pdf
abstract
cite
Large Language Models Fall Short: Understanding Complex Relationships in Detective
Narratives
Runcong Zhao*, Qinglin Zhu*, , Jiazheng Li, Yuxiang Zhou, Yulan He,
Lin Gui
(* = Equal Contribution)
ACL'24
| Findings of the Association for Computational Linguistics: ACL 2024
pdf
abstract
cite
RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors
Liam Dugan, Alyssa Hwang, Filip Trhlik, Josh Magnus Ludan, Andrew Zhu, , Daphne Ippolito, Chris Callison-Burch
ACL'24
| Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics
pdf
abstract
cite
OpenPI2.0: An Improved Dataset for Entity Tracking in
Texts
Li Zhang, , Abhinav
Kommula, Niket Tandon, Chris Callison-Burch
EACL'24
| 18th Conference of the European Chapter of the Association for
Computational Linguistics
pdf
abstract
cite
Human-in-the-loop Schema Induction
Tianyi Zhang, Isaac Tham, Zhaoyi Hou, Jiaxuan Ren, Leon Zhou,
, Li Zhang, Lara Martin,
Rotem Dror, Sha Li, Heng Ji, Martha Palmer, Susan Windisch Brown,
Reece Suchocki, Chris Callison-Burch
ACL'23
| Proceedings of the 61st Annual Meeting of the Association for
Computational Linguistics (Volume 3: System
Demonstrations)
pdf
abstract
cite
Exploring the Curious Case of Code Prompts
Li Zhang*, Liam Dugan*, , Chris Callison-burch
(* = Equal Contribution)
ACL'23-NLRSE
| Proceedings of the 1st Workshop on Natural Language Reasoning
and Structured Explanations (NLRSE)
pdf
abstract
cite
Causal Reasoning of Entities and Events in Procedural
Texts
Li Zhang*, , Yue Yang, Shuyan Zhou, Weiqiu You, Manni Arora, Chris
Callison-Burch
(* = Equal Contribution)
EACL'23
| Findings of the Association for Computational Linguistics:
EACL 2023
pdf
abstract
cite
dataset
FINE-GRAINED AND COARSE-GRAINED CAUSAL REASONING IN PROCEDURAL TEXTS
Master's Thesis
Master's Thesis for MSE in Data Science at UPenn
pdf