Ashok Urlana

Currently, I am working as a Researcher at TCS research. Earlier, I did my Masters in NLP at International Institute of Information Technology-Hyderabad, under the supervision of Manish Shrivastava. Previously I worked with Chakravarthi Jada

My research interests are explainability and interpretability of deep learning models. I am also interested in multimodal, multilingual text summarization for low-resource languages and bio-inspired algorithms and its related topics.

[Google Scholar] [Semantic Scholar] [Linkedin] [GitHub] [E-mail: ashokurlana@gmail.com]

Experience

TCS Research	August 2023 - present	Researcher
IIIT-Hyderabad	July 2020 - July 2023	Masters by Research
IIIT-Hyderabad	May 2019 - June 2020	Research Intern
RGUKT-Nuzvid	June 2014 - May 2018	Bachelors Degree

Services

Program Committee/Reviewer:
- Association for Computational Linguistics Rolling Review (ARR): 2023, 2024
- EACL Student Research Workshop, 2024
- EACL DravidianLangTech Workshop, 2024
- Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
- International Conference on Natural Language Processing (ICON), 2023

Research

Masters Thesis

Enhancing Text Summarization for Indian Languages: Mono, Multi and Cross-lingual Approaches
Ashok Urlana
Masters Thesis , July 2023
[PDF]

Preprints

LimGen: Probing the LLMs for Generating Suggestive Limitations of Research Papers
Abdur Rahman Bin Md Faizullah*, Ashok Urlana*, Rahul Mishra
In arXiv , preprint 2024
[PDF] [Code/Data]

LLMs with Industrial Lens: Deciphering the Challenges and Prospects -- A Survey
Ashok Urlana, Charaka Vinayak Kumar, Ajeet Kumar Singh, Bala Mallikarjunarao Garlapati, Srinivasa Rao Chalamala, Rahul Mishra
In arXiv , preprint 2024
[PDF]

Controllable Text Summarization: Unraveling Challenges, Approaches, and Prospects -- A Survey
Ashok Urlana, Pruthwik Mishra, Tathagato Roy, Rahul Mishra
In arXiv , preprint 2023
[PDF] [Code/Data]

Publications

Assessing Translation Capabilities of Large Language Models involving English and Indian Languages
Vandan Mujadia, Ashok Urlana, Yash Bhaskar, Penumalla Aditya Pavani, Kukkapalli Shravya, Parameswari Krishnamurthy, Dipti Misra Sharma
In Annual Conference of the European Association for Machine Translation (EAMT) 2024
[PDF]
Exploring News Summarization and Enrichment in a Highly Resource-Scarce Indian Language: A Case Study of Mizo
Abhinaba Bala, Ashok Urlana, Rahul Mishra, Parameswari Krishnamurthy
In WILDRE-7 workshop at LREC-COLING 2024
[PDF] [Code/Data]
TrustAI at SemEval-2024 Task 8: A Comprehensive Analysis of Multi-domain Machine Generated Text Detection Techniques
Ashok Urlana, Aditya Saibewar, Bala Mallikarjunarao Garlapati, Charaka Vinayak Kumar, Ajeet Kumar Singh, Srinivasa Rao Chalamala
In SemEval workshop at NAACL2024
[PDF]
Automatic Data Retrieval for Cross Lingual Summarization
Nikhilesh Bhatnagar*, Ashok Urlana*, Vandan Mujadia, Pruthwik Mishra, Dipti Misra Sharma
In proceedings of International Conference on Natural Language Processing , ICON 2023
[PDF] [Code/Data]
PMIndiaSum: Multilingual and Cross-lingual Headline Summarization for Languages in India
Ashok Urlana*, Pinzhen Chen*, Zheng Zhao, Shay Cohen, Manish Shrivastava, and Barry Haddow
In Findings of Empirical Methods in Natural Language Processing, EMNLP 2023
[PDF] [Code][Data][Poster]
Indian Language Summarization using Pretrained Sequence-to-Sequence Models
Ashok Urlana, Sahil Manoj Bhatt, Nirmal Surange, Manish Shrivastava
Indian Language Summarization (ILSUM) track , Forum for Information Retrieval 2022
[PDF] [Code/Data] [Slides]
Ltrc@ mup 2022: Multi-perspective scientific document summarization using pre-trained generation models
Ashok Urlana, Nirmal Surange, Manish Shrivastava
Scholary Document Processing (SDP) Workshop, COLING 2022
[PDF] [Code/Data] [Poster]
TeSum: Human-Generated Abstractive Summarization Corpus for Telugu
Ashok Urlana*, Nirmal Surange*, Pavan Baswani, Priyanka Ravva, Manish Shrivastava
Language Resources and Evaluation Conference , LREC 2022
[PDF] [Data][Code][Slides] [Poster]
AVADHAN: System for Open-Domain Telugu Question Answering
Priyanka Ravva, Ashok Urlana, Manish Shrivastava
Conference on Data Science and Management of Data ,CODS-COMAD 2021
[PDF] [Code/Data][Slides][Poster]
Bflier's: A Novel Butterfly Inspired Multi-robotic Model in Search of Signal Sources
Chakravarthi Jada , Vinod Babu P , Pavan Baswani , Ashok Urlana , Marek Kolencik , Martin Sebesta, Ramakanth Illa
Conference on Robotics, Intelligent Automation and Control Technologies (RIACT) , 2021
Honourable Mention for the Outstanding Oral Presentation Award [PDF]
Simultaneous localization of signal sources inspired by butterfly paradigm
Chakravarthi Jada, Vinod Pusuluri, Pavan Baswani, Ashok Urlana , Mahima Kumari Devineni, Padma Priya Motepalli, Ganesh Bodakurthi, Sumanth Motupalli
Advances in Robotics (AIR) , 2019
[PDF]
Bflybots: a novel robotic-swarm in pursuit of dynamic signal sources
Madhusudhana Rao Bhattiprolu, Chakravarhi Jada, Ashok Urlana, Pavan Baswani, Navyasri Pentakota, Rama Lakshmi Bonagiri, Naveen Boddeda
Conference on Robotics and Smart Manufacturing (RoSMa) , 2018
[PDF]
BflyBot: Mobile robotic platform for implementing Butterfly mating phenomenon
Chakravarthi Jada, Ashok Urlana, Shaik Gouse Basha, Pavan Baswani
Conference on Advances in Control and Optimization of Dynamic Systems (ACODS) , 2018
[PDF]
Butterfly Inspired Multi-robotic Swarm for Signal Source Localization
Chakravarthi Jada, Ch RS Lokesh, Ashok Urlana, Shaik Gouse Basha, Baswani Pavan, Yerubandi Shirdi Swamy, Kantha Rao Bora, Karri Balaraju
Advances in Robotics (AIR), 2017
[PDF]
Butterflies: A new source of inspiration for futuristic aerial robotics
Chakravarthi Jada , Ashok Urlana ,Pavan Baswani, Vinod Babu P
ICRA Late breaking, 2017
[PDF]

Personal

I enjoy traveling and watching cricket.

Last Updated: 11 Apr 2024.