Danish Contractor
Scholar

Danish Contractor

Google Scholar ID: AULk5toAAAAJ
IBM Research AI
NLPResponsible AIQuestion-AnsweringDialog SystemsInstruction-following in LLMs
Citations & Impact
All-time
Citations
4,411
 
H-index
14
 
i10-index
21
 
Publications
20
 
Co-authors
38
list available
Resume (English only)
Academic Achievements
  • 2025: Published 'mtRAG: A Multi-Turn Conversational Benchmark for Evaluating Retrieval-Augmented Generation Systems' (ACL 2025)
  • 2025: Proposed 'Instruction-Following with Dynamic Attention Steering'
  • 2025: Introduced 'Training with Pseudo Code for Instruction Following'
  • 2025: Released dataset with 2500+ invocable API endpoints derived from NL2SQL databases
  • 2024: Proposed 'Reducing the Scope of Language Models'
  • 2025: Published work on tools for tracking adherence to AI model behavioral use clauses
  • 2024: Recognized as one of IBM’s top global technical contributors
  • IBM Technical Award recipient (2015, 2019, 2025)
  • 2018: Named to MIT Technology Review’s Innovators Under 35 – India
  • 2020: British Council Alumni Award for Professional Achievement – India
  • 2017: Inaugural member of the ACM Future of Computing Academy
  • 2016: Romberg Scholar at the 4th Heidelberg Laureate Forum (HLF)
Research Experience
  • Leading research on conversational AI and large language models at IBM Research AI
  • Developing methods to enhance LLM performance in agentic Retrieval-Augmented Generation (RAG) and API tasks with multi-hop reasoning and grounding
  • Researching training- and inference-time approaches to improve instruction-following capabilities of LLMs
  • Chaired the IEEE-SA P2840 working group and BigScience Model Governance Working Group, leading to the first large LLM released under Behavioral-use Licensing
  • Collaborated with AAAI to enable RAIL licensing for code/models associated with conference papers