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Ashok UrlanaI am a PhD candidate at IIIT-Hyderabad, working under the guidance of Ponnurangam Kumaraguru (PK) and Rahul Mishra, and a Researcher at TCS Research. Earlier, I completed my Masters by Research in NLP at IIIT-Hyderabad, under the supervision of Manish Shrivastava, where I worked on multilingual summarization of Indian languages. Prior to that, I worked with Chakravarthi Jada on bio-inspired algorithms for multi-robotic systems. My research interests lie at the intersection of LLM trustworthiness including unlearning, explainability, hallucination detection, and bias and multilingual NLP for low-resource Indian languages. I also retain a broader interest in multimodal learning and bio-inspired algorithms [Google Scholar] [Semantic Scholar] [Linkedin] [GitHub] [E-mail: ashokurlana@gmail.com] |
Experience
| IIIT-Hyderabad | January 2025 - present | PhD Fellow |
| 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, 2025, 2026
- 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
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Enhancing Text Summarization for Indian Languages: Mono, Multi and Cross-lingual Approaches
Ashok Urlana
Masters Thesis , July 2023
[PDF]
Preprints
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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]
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Shadow Unlearning: A Neuro-Semantic Approach to Fidelity-Preserving Faceless Forgetting in LLMs
Dinesh Srivasthav P*, Ashok Urlana*, Rahul Mishra, Bala Mallikarjunarao Garlapati, Ponnurangam Kumaraguru
In arXiv , preprint 2026
[PDF][Code/Data]
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Cultivar: A Contrastive and Locale-Oriented Translation Benchmark for Investigating Contamination and Localisation Robustness
Pinzhen Chen, Koel Dutta Chowdhury, Xiaoya Xu, David Tan, Doreen Osmelak, Ona de Gibert, Ariun-Erdene Tumurchuluun, Ashok Urlana, Fedor Sizov, Hale Sirin, Jesujoba Alabi, Karrar Talib Abed,
Mateusz Klimaszewski, Nikolay Bogoychev, Niyati Bafna, Patricia Schmidtova, Preksha Manjunath Shanbhag, Sherrie Shen, Vilem Zouhar, Vivek Iyer, Yasser Hamidullah, Yusser Al Ghussin, Zheng Zhao
In arXiv, preprint 2026
[PDF] [Code/Data]
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Last Translation Benchmark
Vilém Zouhar, Niyati Bafna, Mukund Choudhary, Maike Züfle, Sara Rajaee, Pinzhen Chen,..., Ashok Urlana..Andrea Gregor de Varda, Zaid Alyafeai
In arXiv , preprint 2026
[PDF][Code/Data]
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IndicTriMix: Developing Language Identification Datasets and Models for Tri-Language Code-Mixing
Pruthwik Mishra, Rudra Trivedi, Avi Patel, Ashok Urlana, Shrikant Malviya In arXiv , preprint 2026
[PDF][Code][Data]
Publications
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Genµ 2.0: A Multimodal Challenge for Biometric Identity and Visual Concept Unlearning
Shreyansh Pathak, Muskan Dosi, Chiranjeev Chiranjeev, Kartik Thakral, Mayank Vatsa, Richa Singh, Tal Hassner, Tamar Glaser, Iacopo Masi, Diego Garcia-Olano, Fahad Shamshad, Mohammed Talha Alam,
Fakhri Karray, Karthik Nandakumar, Ashok Urlana, L D M S Sai Teja, Vivek Hruday Kavuri, Ponnurangam Kumaraguru
In proceedings of , Unlearning and Model-Editing Workshop, ECCV 2026
[PDF] [Code/Data]
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MapRoute++: Surrogate-Guided Semantic Routing for Visual Concept Unlearning
Ashok Urlana, L D M S Sai Teja, Vivek Hruday Kavuri, Ponnurangam Kumaraguru
In proceedings of , Unlearning and Model-Editing Workshop, ECCV 2026
[PDF] [Code/Data]
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AGIC: Attention-Guided Image Captioning to Improve Caption Relevance
L D M S Sai Teja, Ashok Urlana, Pruthwik Mishra
In proceedings of , Findings of EACL 2026
[PDF] [Code/Data][Blog]
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Behind the Words: A Comprehensive Study of Bias Detection Methods in LLMs
Charaka Vinayak Kumar, Ashok Urlana, Gopichand Kanumolu, Bala Mallikarjunarao Garlapati, Pruthwik Mishra
In proceedings of AIGov Workshop, AAAI 2026
[PDF] [Code/Data][Blog]
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NIT-Surat@L-Sum: A Semantic Retrieval-Based Framework for Summarizing Indian Judicial Documents
Nita Jadav, Ashok Urlana, Pruthwik Mishra
In proceedings of JUST-NLP workshop, IJCNLP-AACL 2025
[PDF] [Code/Data]
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HalluCounter: Reference-free LLM Hallucination Detection in the Wild!
Ashok Urlana, Gopichand Kanumolu, Charaka Vinayak Kumar, Bala Mallikarjunarao Garlapati, Rahul Mishra
In proceedings of Findings of IJCNLP-AACL 2025
[PDF] [Code] [Data]
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No LLM is Free From Bias: A Comprehensive Study of Bias Evaluation in Large Language Models
Charaka Vinayak Kumar, Ashok Urlana, Gopichand Kanumolu, Bala Mallikarjunarao Garlapati, Pruthwik Mishra
In proceedings of BIAS Workshop, ECML-PKDD 2025
[PDF] [Code/Data][Blog]
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Agent Ideate: A Framework for Product Idea Generation from Patents Using Agentic AI
Gopichand Kanumolu, Ashok Urlana, Charaka Vinayak Kumar, Bala Mallikarjunarao Garlapati
In proceedings of AgentScen Workshop, IJCAI 2025
[PDF]
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No Size Fits All: The Perils and Pitfalls of Leveraging LLMs Vary with Company Size
Ashok Urlana, Charaka Vinayak Kumar, Bala Mallikarjunarao Garlapati, Ajeet Kumar Singh, Rahul Mishra
In proceedings of COLING 2025 Industry Track
[PDF] [Code/Data]
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LimGen: Probing the LLMs for Generating Suggestive Limitations of Research Papers
Abdur Rahman Bin Md Faizullah*, Ashok Urlana*, Rahul Mishra
In proceedings of ECML PKDD 2024
[PDF] [Code/Data]
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Controllable Text Summarization: Unraveling Challenges, Approaches, and Prospects -- A Survey
Ashok Urlana, Pruthwik Mishra, Tathagato Roy, Rahul Mishra
Findings of ACL2024
[PDF] [Code/Data]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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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]
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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 September 2026.