Mounica Maddela

About me

I am a Senior Language Modeling Engineer at Bloomberg AI working on adapting pretrained and language models for entity-centric analysis of news, social media, and financial documents. My research also focuses on building and evaluating controllable systems based on large language models for different text-generation tasks. I recently completed my Ph.D. in the School of Interactive Computing at Georgia Institute of Technology, advised by Professor Wei Xu. My dissertation focused on building and evaluating text simplifcation systems for different user groups and domains.

I received my Master's degree in Computer and Information Science from the University of Pennsylvania (UPENN) and my Bachelor's degree in Computer Science and Engineering from the International Institute of Information Technology, Hyderabad (IIIT). Before joining my Ph.D., I also worked as a Software Development Engineer at Big Data Technologies, Amazon.

Publications

LENS - A Learnable Evaluation Metric for Text Simplification
Mounica Maddela*, Yao Dou*, David Heineman, and Wei Xu
*equal contribution
ACL 2023
[paper] [data]

Dancing between success and failure: Edit-level simplification evaluation using SALSA
David Heineman, Yao Dou, Mounica Maddela, and Wei Xu
EMNLP 2023
[paper] [code/data]

EntSUM: A Data Set for Entity-Centric Summarization
Mounica Maddela*, Mayank Kulkarni*, and Daniel Preoţiuc-Pietro
*equal contribution
ACL 2022
[paper] [data]

A Dataset of Word-Complexity Judgements from Deaf and Hard-of-Hearing Adults for Text Simplification
Oliver Alonzo, Sooyeon Lee, Mounica Maddela, Wei Xu and Matt Huenerfauth
TSAR Workshop at EMNLP 2022
[paper]

Extractive Entity-Centric Summarization as Sentence Selection using Bi-Encoders
Ella Hofmann-Coyle, Mayank Kulkarni, Lingjue Xie, Mounica Maddela, and Daniel Preoţiuc-Pietro
AACL 2022
[paper]

BiSECT: Learning to Split and Rephrase Sentences with Bitexts
Joongwon Kim*, Mounica Maddela*, Reno Kriz, Wei Xu, and Chris Callison-Burch
*equal contribution
EMNLP 2021
[paper] [code and data]

Controllable Text Simplification with Explicit Paraphrasing
Mounica Maddela, Fernando Alva-Manchego, and Wei Xu
NAACL 2021
[paper] [code/data] [slides] [poster]

The GEM Benchmark: NLG, its Evaluation and Metrics
[paper] [project website]
ACL 2021

Neural CRF Model for Sentence Alignment in Text Simplification
Chao Jiang, Mounica Maddela , Wuwei Lan, Yang Zhong and Wei Xu
ACL 2020
[paper] [code/data] [slides] [video]

Code and Named Entity Recognition in StackOverflow
Jeniya Tabassum, Mounica Maddela , Wei Xu and Alan Ritter
ACL 2020
[paper] [code/data]

Multi-task Pairwise Neural Ranking for Hashtag Segmentation
Mounica Maddela , Wei Xu and Daniel Preoţiuc-Pietro
ACL 2019
[paper] [project] [code/data] [poster]

A Word-Complexity Lexicon and A Neural Readability Ranking Model for Lexical Simplification
Mounica Maddela and Wei Xu
EMNLP 2018
[paper] [slides] [code/data]

Experience

Senior Language Modeling Engineer at Bloomberg AI
Dec 2023 - present

Graduate Research Assistant at Georgia Institute of Technology
Advisor: Professor Wei Xu
August 2020 - May 2023

AI Research Intern at Meta AI
Mentors: Dr. Y-Lan Boureau
August 2022 - November 2022

AI Research Intern at Bloomberg AI
Mentors: Mayank Kulkarni, Dr. Daniel Preoţiuc-Pietro
May 2021 - August 2021

Graduate Research Assistant at Ohio State University
Advisor: Professor Wei Xu
August 2017 - August 2020

Software Development Engineer at Big Data Technologies, Amazon
June 2015 - July 2017

Software Development Engineer Intern at Big Data Technologies, Amazon
June 2014 - August 2014

Awards