Dhanasekar Sundararaman

21 papers A 1Journal 12Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
Evaluating Hallucination in Large Vision-Language Models based on Context-Aware Object Similarities.
CoRR
Shounak Datta, Dhanasekar Sundararaman
2025 J jnl
LOCUS: A System and Method for Low-Cost Customization for Universal Specialization.
CoRR
Dhanasekar Sundararaman, Keying Li, Wayne Xiong, Aashna Garg
2022 J jnl
Exploring Gender Bias in Retrieval Models.
CoRR
Dhanasekar Sundararaman, Vivek Subramanian
2022 J jnl
How do lexical semantics affect translation? An empirical study.
CoRR
Vivek Subramanian, Dhanasekar Sundararaman
2022 A conf
Improving Downstream Task Performance by Treating Numbers as Entities.
CIKM
Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Liyan Xu, Lawrence Carin
2022 J jnl
Number Entity Recognition.
CoRR
Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Liyan Xu, Lawrence Carin
2022 J jnl
Pseudo-OOD training for robust language models.
CoRR
Dhanasekar Sundararaman, Nikhil Mehta, Lawrence Carin
2021 — conf
Learning Task Sampling Policy for Multitask Learning.
EMNLP (Findings)
Dhanasekar Sundararaman, Henry Tsai, Kuang-Huei Lee, Iulia Turc, Lawrence Carin
2021 — conf
Syntactic Knowledge-Infused Transformer and BERT Models.
CIKM Workshops
Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Shijing Si, Dinghan Shen, Dong Wang, Lawrence Carin
2020 — conf
Methods for Numeracy-Preserving Word Embeddings.
EMNLP (1)
Dhanasekar Sundararaman, Shijing Si, Vivek Subramanian, Guoyin Wang, Devamanyu Hazarika, Lawrence Carin
2019 — conf
Learning Compressed Sentence Representations for On-Device Text Processing.
ACL (1)
Dinghan Shen, Pengyu Cheng, Dhanasekar Sundararaman, Xinyuan Zhang, Qian Yang, Meng Tang, Asli Celikyilmaz, Lawrence Carin
2019 J jnl
Learning Compressed Sentence Representations for On-Device Text Processing.
CoRR
Dinghan Shen, Pengyu Cheng, Dhanasekar Sundararaman, Xinyuan Zhang, Qian Yang, Meng Tang, Asli Celikyilmaz, Lawrence Carin
2019 J jnl
Syntax-Infused Transformer and BERT models for Machine Translation and Natural Language Understanding.
CoRR
Dhanasekar Sundararaman, Vivek Subramanian, Guoyin Wang, Shijing Si, Dinghan Shen, Dong Wang, Lawrence Carin
2018 — conf
TweetIT: analyzing topics for Twitter users to garner maximum attention.
ICMLSC
Dhanasekar Sundararaman, Priya Arora, Vishwanath Seshagiri
2018 — conf
YouTree: A Visualization Paradigm of Statistically and Textually Similar Videos.
ICCMS
Dhanasekar Sundararaman, Vishwanath Seshagiri, Balaji Ramesh, Priya Arora
2017 J jnl
An analysis of non-immigrant work visas in the USA using Machine Learning.
CoRR
Dhanasekar Sundararaman, Nabarun Pal, Aashish Kumar Misraa
2017 — conf
Customizable Vehicle Tracking with Intelligent Prediction System.
I3E
Dhanasekar Sundararaman, Gowtham Ravichandran, R. Jagadeesh, Sasirekha Selvakumar, I. Joe Louis Paul, Sankaranarayanan Swamynathan
2017 J jnl
How much is my car worth? A methodology for predicting used cars prices using Random Forest.
CoRR
Nabarun Pal, Priya Arora, Dhanasekar Sundararaman, Puneet Kohli, Sai Sumanth Palakurthy
2017 J jnl
TweetIT- Analyzing Topics for Twitter Users to garner Maximum Attention.
CoRR
Dhanasekar Sundararaman, Priya Arora, Vishwanath Seshagiri
2017 — conf
Twigraph: Discovering and Visualizing Influential Words Between Twitter Profiles.
SocInfo (2)
Dhanasekar Sundararaman, Sudharshan Srinivasan
2017 J jnl
Twigraph: Discovering and Visualizing Influential Words between Twitter Profiles.
CoRR
Dhanasekar Sundararaman, Sudharshan Srinivasan