
Pei Chen
agent
pre-training
named entity recognition
large language models
graph neural networks
entity relations
inductive reasoning
induction
llms
llm
llm-as-a-judge
complex problems
large language models; long-context; benchmarking
reasoning and planning
benchmark
3
presentations
SHORT BIO
I am a third-year Ph.D. student supervised by Prof. Ruihong Huang in the TAMU NLP group, Department of Computer Science and Engineering at Texas A&M University. I enjoy doing research in the fields of Natural Language Processing and Machine Learning and applying machine/deep learning models to practical NLP problems and applications, especially Information Extraction.
Presentations

ItD: Large Language Models Can Teach Themselves Induction through Deduction
Wangtao Sun and 6 other authors

CoMM: Collaborative Multi-Agent, Multi-Reasoning-Path Prompting for Complex Problem Solving
Pei Chen and 2 other authors

Crossroads, Buildings and Neighborhoods: A Dataset for Fine-grained Location Recognition
Pei Chen