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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

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