Shubhashis Roy Dipta, PhD Researcher in NLP and Multimodal AI

Shubhashis Roy Dipta

PhD Researcher · UMBC

sroydip1@umbc.edu


Amazon Science (Alexa AI)
Bellevue, WA
Applied Scientist Intern
Summer 2026
Manager: Dr. Lichao Wang
Causal Dynamics Lab
Remote
Research Scientist (Part-time)
Nov 2025 - Aug 2026
Amazon Science (Alexa AI)
Bellevue, WA
Applied Scientist Intern
Summer 2025
Manager: Dr. Lichao Wang
See more
Scale AI
San Francisco, CA
Machine Learning Research Intern
Summer 2024
Manager: Dr. Adrian Lam
Mentor: Vijay Kalmath
University of Maryland, Baltimore County
Ph.D. in Computer Science
May 2023 - Present
Grade: 4.00/4.00
Publications: See Here (From 2022)
University of Maryland, Baltimore County
M.Sc. in Computer Science
Spring 2021 - Spring 2023
Awards: Phi Kappa Phi
Grade: 4.00/4.00
Morgan State University
Research Assistant
Jun 2017 - Jun 2020
Publications: 4 Journal
UniShopr.com
Bangladesh
Founder & CTO
2019 - 2021

Upcoming Travel

  • NeurIPS 2026 in Atlanta, GA (Dec 9-13)
  • ICLR 2027 in San Francisco, CA (Apr 26-30)
  • NAACL 2027 in San Francisco, CA (Jun 1-5)
👋 I'm open to meet! Email me to schedule a chat!

Peer Review

Reviewed 41+ papers across top venues since 2023.

22+ conference papers 13+ workshop papers 6+ journal papers

I’m a final-year CS Ph.D. researcher at the University of Maryland, Baltimore County (UMBC), advised by Dr. Frank Ferraro, with research internships at Amazon Science (Alexa AI; Summer 2025 + 2026) and Scale AI (Summer 2024). I make models expose the structure behind an answer, events, questions, policies, graphs, then train and score against that structure with GRPO or OPD. My work on agentic LLMs earned a $20K Google Cloud Gemini Academic Program Award (2026).

Graduating Spring 2027 · No visa sponsorship needed · actively seeking Research Scientist roles in NLP / Multimodal AI. Please reach out if you have an opening.

Recent News (See All)

Oct 22, 2026 🌍 New preprint - CulturalRiddles: human-written riddles from 62 cultures and 51 languages. The best models reach only 22% in some cultures. News coverage by Fast Company and Cohere Labs (X, LinkedIn).
Sep 26, 2026 🎉 Three papers accepted at NeurIPS 2026 - Rock Tokens to the main conference, plus TRIAGE and AgentCollabBench to the E&D track.
Sep 6, 2026 🚀 New preprint - OracleZoom: recursive super-resolution to 256× with ground truth only at 4×. A VLM judge prefers it over Chain-of-Zoom 78% of the time. Demo.
Aug 22, 2026 🎉 Four papers accepted at EMNLP 2026 - PA3 to the main conference, plus †DAGGER, Many Dialects and Register Shifts to Findings.

Beyond Research

I’ve competed internationally in algorithms and robotics, ranking 8th out of 300+ teams at the 2018 ACM ICPC Asia Dhaka Regional with multiple regional and national placements, reaching the top 70 on Kaggle 🥉 in the Birdcall Identification competition, and placing 9th at the University Rover Challenge 2015 (Utah, USA) and 22nd at the European Rover Challenge 2016 (Poland). Full list of awards →

Before the PhD, I also founded UniShopr (2019-2021), a cross-border e-commerce platform serving consumers in Bangladesh.

Featured Publications

A few papers that best represent my work. See all publications

  1. OracleZoom: On-Policy Self-Distillation Inspired Reference-Constrained Recursive Image Super Resolution
    Under review
    OracleZoom: On-Policy Self-Distillation Inspired Reference-Constrained Recursive Image Super Resolution
    Shubhashis Roy Dipta*, Sourajit Saha*, Shaswati Saha, and 1 more author
    Under review
    * Equal contribution
  2. DecomposeRL: Learning to Ask Useful, Informative, and Diverse Questions for Semi-Supervised, Traceable Claim Verification
    Under review
    DecomposeRL: Learning to Ask Useful, Informative, and Diverse Questions for Semi-Supervised, Traceable Claim Verification
    Shubhashis Roy Dipta, Ankur Padia, and Francis Ferraro
    Under review
  3. Cornerstones or Stumbling Blocks? Deciphering the Rock Tokens in On-Policy Distillation
    NeurIPS
    Cornerstones or Stumbling Blocks? Deciphering the Rock Tokens in On-Policy Distillation
    Yuxuan Jiang*, Runchao Li*, Shubhashis Roy Dipta*, and 2 more authors
    NeurIPS 2026
    * Equal contribution
  4. TRIAGE: Evaluating Prospective Metacognitive Control in LLMs under Resource Constraints
    NeurIPS
    TRIAGE: Evaluating Prospective Metacognitive Control in LLMs under Resource Constraints
    Zabir Al Nazi, and Shubhashis Roy Dipta
    NeurIPS 2026
  5. AgentCollabBench: Diagnosing When Good Agents Make Bad Collaborators
    NeurIPS
    AgentCollabBench: Diagnosing When Good Agents Make Bad Collaborators
    Aritra Mazumder, Shubhashis Roy Dipta, Nusrat Jahan Lia, and 10 more authors
    NeurIPS 2026
  6. PA3: Policy-Aware Agent Alignment through Chain-of-Thought
    EMNLP
    PA3: Policy-Aware Agent Alignment through Chain-of-Thought
    Shubhashis Roy Dipta, Daniel Bis, Kun Zhou, and 4 more authors
    EMNLP 2026
    Work done during internship at Amazon Alexa AI
  7. †DAGGER: Distractor-Aware Graph Generation for Executable Reasoning in Math Problems
    EMNLP
    †DAGGER: Distractor-Aware Graph Generation for Executable Reasoning in Math Problems
    Zabir Al Nazi, Shubhashis Roy Dipta, and Sudipta Kar
    EMNLP 2026
  8. GanitLLM: Difficulty-Aware Bengali Mathematical Reasoning through Curriculum-GRPO
    ACL
    GanitLLM: Difficulty-Aware Bengali Mathematical Reasoning through Curriculum-GRPO
    Shubhashis Roy Dipta, Khairul Mahbub, and Nadia Najjar
    ACL 2026
  9. VC-Inspector: Advancing Reference-free Evaluation of Video Captions with Factual Analysis
    ACL
    VC-Inspector: Advancing Reference-free Evaluation of Video Captions with Factual Analysis
    Shubhashis Roy Dipta, Tz-Ying Wu, and Subarna Tripathi
    ACL 2026
  10. Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks
    ACL
    Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks
    Nobin Sarwar, Shubhashis Roy Dipta, Zheyuan Liu, and 1 more author
    ACL 2026
  11. Q2E: Query-to-Event Decomposition for Zero-Shot Multilingual Text-to-Video Retrieval
    AACL
    Q2E: Query-to-Event Decomposition for Zero-Shot Multilingual Text-to-Video Retrieval
    Shubhashis Roy Dipta, and Francis Ferraro
    AACL 2025
  12. Learning How to Use Tools, Not Just When: Pattern-Aware Tool-Integrated Reasoning
    MathAI @NeurIPS
    Learning How to Use Tools, Not Just When: Pattern-Aware Tool-Integrated Reasoning
    Ningning Xu, Yuxuan Jiang, and Shubhashis Roy Dipta
    MathAI @NeurIPS 2025

Patents

  • AI-Based System and Method for Code Localization Using Dependency Graph Retrieval for Bug Identification in Software Repositories
    US provisional application filed, March 2026
  • System and Method for Anchor-Based Memory Indexing and Policy-Driven Retrieval Across Heterogeneous Sources
    US provisional application filed, March 2026

Research Mentorship