Professional Engagements
Professional engagements, talks, service, internships, and teaching activities by Kaushal Kumar Maurya.
Work Experience
Postdoctoral Fellow & Research Scientist, MBZUAI, Abu Dhabi, UAE
PI: Dr. Ekaterina Kochmar & Prof. Thamar Solorio
Research Theme: AI/LLM for Education
- Focus: Development of a pedagogy-grounded unified evaluation principle and toolkit for AI tutor evaluation. Further, release of a high-quality evaluation benchmark and presentation of the current state-of-the-art LLMs as AI tutors.
- Publications: EACL 2026, BEA@ACL 2026, CBT@ICML 2026, EMNLP 2025, ACL 2025, NAACL 2025, AIED 2025, COLING 2025, BEA@ACL 2025, INW@NAACL 2024
- Grant: Google Academic Research Award (GARA) 2024
- Award: SAC Paper Award at NAACL 2025
Data Scientist, Ntwist, CIE, IIITH, Hyderabad, India
Job Theme: AI-driven Optimization and Automation of Gas Plant Production
- Developed deep reinforcement learning-based models to optimize and semi-automate gas plant production, accounting for real-world constraints that dynamically altered the exploration space.
Research Internships
Microsoft India (R&D), Machine Translator Team
Topic: Machine Translation for Extremely Low-Resource Languages/Dialects
- Developed a novel MT system targeting extremely low-resource languages and dialects by leveraging lexical similarity with closely related high-resource languages.
- Publication: EACL 2024
Microsoft India (R&D), Auto-Suggest Team
Topic: Personalized Auto-Suggest Text Generation for Bing Search Engine
- Designed a hybrid approach augmenting trie-based suggestions with NLG models to provide personalized auto-suggestions for Bing Search.
- Publication: ECML-PKDD 2023 (Journal Track: DAMI)
Nvidia AI Research Center, India & Shizuoka University, Japan
Topic: Towards Cross-lingual Transfer and Generation for Indian Languages
- Proposed an unsupervised cross-lingual generation framework, ZmBART, to transfer supervision from high-resource to multiple low-resource languages.
- Publication: ACL 2021 (Findings)
Collaborations
Collaboration with Microsoft India (R&D), Academic Grant
Topic: Non-toxic Multilingual Personalized Auto-Suggest Generation
Role: Lead PhD Researcher
- Enhanced the quality of auto-suggestions for the Bing Search Engine.
- Mitigated problematic and toxic auto-suggestions to improve user experience.
- Publications: SIGIR 2024 and PAKDD 2024
Advisory Roles
Startup Advisor: Technical Advisor at Lending Katalyst (AI-NLP Startup) [Webpage]
Topic: AI-Driven Automation for Property Title Verification
- Directed AI-ML solutions to automate property title tracing for home buyers and financial institutions.
- Addressed interdisciplinary challenges involving NLP, multilinguality, legal domain, and linguistics.
Invited Talks 15 entries
IITD-Abu Dhabi, Abu Dhabi, UAE
Title: Democratizing NLP Advances for Social Good: Evaluation, Inclusion, and Safety
Department of CSE, TUNI, India
Title: The Mind Behind ChatGPT: The Magic, the Mechanics, and the Myth
IEEE Student Branch Talk, IIT Guwahati, India
Title: Data Augmentation-Based Approach for Extremely Low-Resource Machine Translation
NLP Class, IIT Hyderabad, India
Title: Decoding the Craft of Machine Narratives: Overview of Evaluation Approaches in Natural Language Generation
NLG Class, MBZUAI, Abu Dhabi, UAE
Title: Challenges in NLG Evaluation: Insights from Low-Resource and Educational Domains
NLP Team, National Research Council, Canada
Title: Towards Machine Translation for Extremely Low-Resource Languages
NLP Seminar Series, MBZUAI, Abu Dhabi, UAE
Title: Data Augmentation-Based Approach for Extremely Low-Resource Machine Translation
NLP Team, Google Research India
Title: Meta-Learning for Low-Resource Language Generation
SCIS, University of Hyderabad, India
Title: Introduction to Deep Learning through the Lens of Natural Language Processing
CSE Seminar Series, IIT Hyderabad
Title: Hype to Reality: Responsible Text Generation with Large Language Models
KG Reddy College at Hyderabad, India, hosted by Swechha Foundation (NGO)
Title: Introduction to Artificial Intelligence and NLP
SCIS, University of Hyderabad, India
Title: Large Language Models and Responsible Text Generation
SVECW College, Bhimavaram, AP, India
Title: Introduction to Deep Learning for Natural Language Processing [100+ participants]
ASIC, NLP Reading and Discussion Group
Title: An Unsupervised Cross-lingual Transfer Framework for Language Generation
Faculty Development Program on Data Science, Hyderabad, India
Title: Introduction to RNN, Data Processing, and Text Classification
ACM IIT Hyderabad Student Chapter
Title: Learning to Distract: Generation of Incorrect Options from Reading Comprehension MCQs
Research Services Organizer, chairing, reviewing, volunteering
Organizer
- Diversity and Inclusion (D&I) Co-chair, EACL 2027 (ongoing) [Website]
- Graduate Forum Co-chair, IndoML 2026 (ongoing) [Website]
- Datathon Chair at IndoML 2025 [Website]
- Co-organizer, BEA Shared Task 2025, co-located with ACL 2025 [Website]
- Tutorial on “LLMs in Education,” COLING 2025 [Website]
- Head of Hybrid Infrastructure (Airmeet), ACML 2022
- One-day workshop on “Sara Translator and Recent Trends in NLP,” SCIS, University of Hyderabad, 2016
- One-day NLP meet on “Challenges in Human Evaluation for Indian Languages,” SCIS, University of Hyderabad, 2017
Session Chair
- Generation, Summarization & QA Track, ACL 2025
- Multilinguality and Language Diversity Track, NAACL 2025
- NLP Applications Track, COLING 2025
Area Chair
- Area Chair (AC), ARR June 2025 cycle (active September 2025)
Reviewer
- ACL [2021–2025]
- EMNLP [2021–2024]
- NAACL [2022–2025]
- ARR
- AAAI 2021
- ICLR 2021
- SIGTYP 2021
- MLR 2021
Lead Volunteer
- EMNLP 2022
- ACML 2022
Volunteer
- ACL [2020–2022] (in-person at ACL 2022)
- EMNLP [2020–2023]
- ICLR [2020–2021]
- NeurIPS [2020–2022]
- NAACL [2021–2022]
- CIKM 2021
- ACML 2022 (in-person)
Mentorship & Teaching Assistantship Mentorship, teaching, TA roles
Mentorship
- Supervised M.Tech students at IITH, contributing to peer-reviewed publications:
- Venkatesh E – ACL 2023 (Findings)
- Kamal Shrestha and Aditi Sanjay Bagora – WebSci 2022
- Arkadipta De and Venkatesh E – CONSTRAINT Workshop, AAAI 2021
- Academic course project mentor at MBZUAI:
- NLG (Spring 2025, 1 group)
- NLP (Fall 2024, 2 groups)
- Academic course project mentor at IITH:
- NLP: Spring 2023 (2 groups), Summer 2020 (4 groups), Winter 2019 (2 groups)
- NLP & IR: Spring 2023 (4 groups)
- IR: Fall 2021 (7 groups), Fall 2020 (8 groups)
Teaching
- Tutorial lecture on “Evaluation of Natural Language Generation (NLG),” IITH (2025)
- Lectures and hands-on sessions for NLP/IR course at IITH (2020–2023)
- Tutorial on “Introduction to RNNs” in a Faculty Development Program, Hyderabad (2020)
Teaching Assistantship
- MBZUAI:
- NLG (Spring 2025, 15+ students)
- NLP (Fall 2024, 60+ students)
- IITH:
- NLP & IR (Spring 2023, 45+ students)
- IR: Fall 2021 (25+ students), Fall 2020 (60+ students), Fall 2019 (30+ students)
- NLP: Spring 2021 (110+ students), Spring 2020 (45+ students)
- Algorithms: Spring 2019 (120+ students)
- University of Hyderabad:
- Optimization Techniques (Spring 2017, 55+ students)
- NLP (Fall 2016, 20+ students)