siyiliu [at] seas [dot] upenn [dot] edu
3401 Walnut St, Philadelphia, PA
I'm third year PhD student at Department of Computer and Information Science, University of Pennsylvania, advised by Prof. Dan Roth
My research interest lies within the areas of natural language processing. Recently, I’m interested in studying various types of conflicts in the applications of Large Language Models (LLMs), including
[1] Towards Long Context Hallucination Detection
Siyi Liu , Kishaloy Halder, et al.
in submission
[2] Open Domain Question Answering with Conflicting Contexts
Siyi Liu , Qiang Ning, et al.
in submission
[3] Using LLM for improving key event discovery: Temporal-guided news stream clustering with event summaries
Nishanth Nakshatri, Siyi Liu, Sihao Chen, Daniel Hopkins, Dan Roth, Dan Goldwasser
EMNLP 2023
[4] Open-Domain Event Graph Induction for Mitigating Framing Bias
Siyi Liu, Hongming Zhang, Hongwei Wang, Kaiqiang Song, Dan Roth, Dong Yu
arXiv
[5] Design Challenges for a Multi-Perspective Search Engine
Sihao Chen*, Siyi Liu* , Xander Uyttendaele, Yi Zhang, William Bruno, Dan Roth
NAACL 2022 Findings
[6] MultiOpEd: A Corpus of Multi-Perspective News Editorials
Siyi Liu, Sihao Chen, Xander Uyttendaele, Dan Roth
NAACL 2021
[Code]
[Slides] [Poster] [Talk]
[7] Detecting frames in news headlines and its application to analyzing news framing trends surrounding US gun violence
Siyi Liu, Lei Guo, Kate Mays, Margrit Betke, Derry Tanti Wijaya
CoNLL 2019
[8] Learning to mirror speaking styles incrementally
Siyi Liu*, Ziang Leng*, Derry Wijaya
arXiv
Applied Scientist Intern
Host: Kishaloy Halder
May 2024 - Aug 2024
Applied Scientist Intern
Host: Qiang Ning
May 2023 - Aug 2023
NLP Summer Research Intern
Host: Hongming Zhang
May 2022 - Aug 2022
25% of unambiguous, open domain questions can lead to conflicting contexts when retrieved using Google Search.
Perspectives-oriented Search
An example screenshot of our Multi-Perspective Search Engine
A survey that compares the search results of our system and Google Search
MultiOpEd: A Corpus of Multi-Perspective News Editorials
Detecting frames in news headlines and its application to analyzing news framing trends surrounding US gun violence