Bhiman Kumar Baghel

I'm

My research interests are
Memory Editing in LLMs Common sense Reasoning AI Fairness Conversational AI NLU

About

I am a 2nd Year Ph.D. student in Computer Science at the University of Pittsburgh, advised by Professor Xiang (Lorraine) Li.

Research Interests:

  • Memory Editing in Large Language Models (LLMs): Developing techniques to efficiently update internal knowledge representations for better adaptability and fairness without the computational cost of full finetuning.
  • Commonsense Reasoning: Tackling challenges in grounding language models to improve fairness and reliability in real-world applications.
  • Fairness in AI: Investigating methods to mitigate biases in AI systems, ensuring equitable and reliable model performance across diverse user groups.
  • Conversational AI and NLU: Specializing in Natural Language Understanding for enhancing conversational AI systems, including multi-intent classification, handling out-of-domain queries, and developing real-world applications like Samsung Bixby.

A major milestone in my career was leading the overhaul of the deep learning architecture for Samsung SmartThings. During this time, I worked as a Lead Engineer - NLP at the Samsung Research, where I developed solutions for NLU challenges faced by Samsung’s Conversational AI from research to commercialization.


I earned my Master's in Computer Science and Engineering from IIT Kharagpur, following a Bachelor's in Computer Science and Engineering from NIT Jalandhar.

Publications

Patents

News

Sept'24
👨‍🔬Started working as Graduate Reseach Assistant @ SCI, UPitt

Aug'24
📽️Lightning Talk - "A Fairness Analysis of Human and AI-Generated Student Reflection Summaries" in Gender Bias in Natural Language Processing Workshop at ACL 2024!

Jul'24
🗣️Oral invitation - "A Fairness Analysis of Human and AI-Generated Student Reflection Summaries" in Gender Bias in Natural Language Processing Workshop at ACL 2024!

Jun'24
🎉Paper publication - "A Fairness Analysis of Human and AI-Generated Student Reflection Summaries" accepted in Gender Bias in Natural Language Processing Workshop at ACL 2024!

Jun'24
📽️Oral presentation - "Multimodal Understanding of Memes with Fair Explanations" @ CVPR - Multimodal Learning and Applications Workshop (MULA 2024)!

May'24
🗣️Oral invitation - "Multimodal Understanding of Memes with Fair Explanations" in CVPR - Multimodal Learning and Applications Workshop (MULA 2024)!

Mar'24
🎉Paper publication - "Multimodal Understanding of Memes with Fair Explanations" accepted in CVPR - Multimodal Learning and Applications Workshop (MULA 2024)!

Feb'24
🎉A1 US Patent published - "Method and system for mitigating physical risks in an IOT environment"

Feb'24
🤩Attended Google logo Research Week

Jan'24
👨‍🏫Started working as Teaching Assistant - Intro to Natural Language Processing @ SCI, UPitt

Sep'23
👨‍🏫Started working as Teaching Assistant - Operating System @ SCI, UPitt

Aug'23
🎓Started CS PhD @ University of Pittsburgh, PA, USA

Mar'23
🆙Promoted to Lead Engineer - NLP @ SRIB

Mar'23
🏆Received Samsung Excellence Award @ SRIB

Mar'23
🎉A1 US Patent published - "Methods and systems for determining missing slots associated with a voice command for an advanced voice interaction"

Mar'23
🌟Received MBO High Perfromance Bonus @ SRIB

Sep'22-Dec'22
✈️Business trip to Samsung logo HQ, South Korea

Publications & Patents

  • All
  • Conversational AI
  • AI Fairness
  • Patents
  • 2024
  • 2023
  • 2021

Resume  

Education

Doctor of Philosophy (PhD) Computer Science

2023 - Present
University of Pittsburgh, PA, USA

Courses Taken

  • Advanced Topics in NLP (Seminar)
  • Intro to NLP
  • Distributed Operating System

Master of Technology (M.Tech) Computer Science & Engineering

2017 - 2019
Indian Institute of Technology (IIT), Kharagpur, India

Bachelor of Technology (B.Tech) Computer Science & Engineering

2013 - 2017
National Institute of Technology (NIT), Jalandhar, India

Academic Experience

Teaching Assistant - Intro to Operating Systems

Sep'23 - Dec'23
University of Pittsburgh, PA, USA

  • Conducted weekly recitations for class of ~50 undergrad students. Graded quizes and assignments.

Teaching Assistant - Programming and Data Structure & DBMS

Jul'18 - May'19
Indian Institute of Technology (IIT), Jalandhar, India

  • Thought lectures on Programming & DBMS concepts to a class of 80+ undergrad students. Evaluated lab assignments and tests based on those concepts.

Professional Experience

Lead Engineer - NLP

Jun'19 - Aug'23
Samsung Research Institute, Bangalore, India

  • Role: Research, Design and Develop solutions for Bixby’s (Conversational AI) industry‑level NLU challenges.
  • CoSMIC ‑ Contextual SmartThings Multi‑Intent Composer: Researched and commercialized BERT‑based Multi‑Intent NLU for SmartThings. Achieved 96% E2E Accuracy with 12% performance boost. Reduced the error rate by 67%.
  • Conversational AI: Worked on complex scenarios of Multi‑Intent and Slot Classification, Zero-shot Out‑Of‑Domain Detection, Intelligent Device Resolution service, Bixby Recall ‑ Chat Question Answering (QA) System and Knowledge Representation.
  • Achievements: Publications (x2), Patents (x4), MBO High Performance Bonus (x3), Samsung Excellence and other awards (x5), CLab Finalist

Extreme Blue Intern

May'18 - Jul'19
IBM, Bangalore, India

  • Project: Template based Machine Learning Models for MVS
  • Designed and developed a time series forecasting, self‑learning, DL system to predict, prevent or auto‑resolve or assist in IT infrastructure Failure.
  • Achievement: 2nd Runner Up ‑ Audience Poll Category, IBM Extreme Blue Expo