Sameep Mehta

Overview

Title

IBM Distinguished Engineer and Senior Manager. Data and AI Platforms. IBM Research AI

Location

IBM Research - India Bengaluru, India

Bio

Sameep Mehta is IBM Distinguished Engineer at IBM Research AI. He leads the global Data Strategy for AI. His research interests includes Innovations in Data Lifecycle, Trusted AI & Meta Data Management. He is regular speaker at various technical forums and is recipient of multiple best & runner-up best paper awards at top AI conferences. He holds Adjunct Faculty Position at IIT-Jodhpur and IIIT-Delhi. Recently, he has co-authored a book AI for You - The New Game Changer which aims to demystify AI for Business Leaders. Prior to joining IBM Research, Sameep received his Ph.D. from The Ohio State University in 2006.

Publications

Sequential API Function Calling Using GraphQL Schema
- - Avirup Saha
  - Lakshmi Mandal
  - et al.
- 2024
- EMNLP 2024
GraphQL Query Generation: A Large Training and Benchmarking Dataset
- - Manish Kesarwani
  - Sambit Ghosh
  - et al.
- 2024
- EMNLP 2024
LLM-powered GraphQL Generator for Data Retrieval
- - Balaji Ganesan
  - Sambit Ghosh
  - et al.
- 2024
- IJCAI 2024
LLMGuard: Guarding Against Unsafe LLM Behavior
- - Shubh Goyal
  - Medha Hira
  - et al.
- 2024
- AAAI 2024
Conversational GUI for Semantic Automation Layer
- - Daniel Karl I. Weidele
  - Gaetano Rossiello
  - et al.
- 2023
- ISWC 2023
Foundations and Applications in Large-scale AI Models: Pre-training, Fine-tuning, and Prompt-based Learning
- - Derek Cheng
  - Dhaval Patel
  - et al.
- 2023
- KDD 2023
CFL: Causally Fair Language Models Through Token-level Attribute Controlled Generation
- - Rahul Madhavan
  - Rishabh Garg
  - et al.
- 2023
- ACL 2023
Tutorial on Semantic Automation for Data Discovery
- - Rajmohan C
  - Ritwik Chaudhuri
  - et al.
- 2023
- CODS-COMAD 2023
Tutorial on Advances in NLP Research for Automated Business Intelligence
- - Vinayak Gupta
  - Rajmohan C
  - et al.
- 2022
- ICON 2022
Toward Scientific Workflows in a Serverless World
- - Aakash Khochare
  - Yogesh Simmhan
  - et al.
- 2022
- eScience 2022

Patents

- 02 May 2022
- US
- 11321304
Domain Aware Explainable Anomaly And Drift Detection For Multi-variate Raw Data Using A Constraint Repository
- 11 Apr 2022
- US
- 11302096
Determining Model-related Bias Associated With Training Data
- 28 Feb 2022
- US
- 11263188
Generation And Management Of An Artificial Intelligence (ai) Model Documentation Throughout Its Life Cycle
- 17 Jan 2022
- US
- 11227099
Automatic Summarization With Bias Minimization
- 10 Jan 2022
- US
- 11222087
Dynamically Debiasing An Online Job Application System
- 20 Dec 2021
- US
- 11204953
Generation Of Lineage Data Subset Based Upon Business Role
- 20 Dec 2021
- US
- 11205138
Model Quality And Related Models Using Provenance Data
- 13 Dec 2021
- US
- 11200283
Cohesive Visualized Instruction Representation
- 25 Oct 2021
- US
- 11157983
Generating A Framework For Prioritizing Machine Learning Model Offerings Via A Platform
- 11 Oct 2021
- US
- 11144569
Operations To Transform Dataset To Intent

Top collaborators

Sameep Mehta

Overview

Title

Location

Bio

Publications

Sequential API Function Calling Using GraphQL Schema

GraphQL Query Generation: A Large Training and Benchmarking Dataset

LLM-powered GraphQL Generator for Data Retrieval

LLMGuard: Guarding Against Unsafe LLM Behavior

Conversational GUI for Semantic Automation Layer

Foundations and Applications in Large-scale AI Models: Pre-training, Fine-tuning, and Prompt-based Learning

CFL: Causally Fair Language Models Through Token-level Attribute Controlled Generation

Tutorial on Semantic Automation for Data Discovery

Tutorial on Advances in NLP Research for Automated Business Intelligence

Toward Scientific Workflows in a Serverless World

Patents

Domain Aware Explainable Anomaly And Drift Detection For Multi-variate Raw Data Using A Constraint Repository

Determining Model-related Bias Associated With Training Data

Generation And Management Of An Artificial Intelligence (ai) Model Documentation Throughout Its Life Cycle

Automatic Summarization With Bias Minimization

Dynamically Debiasing An Online Job Application System

Generation Of Lineage Data Subset Based Upon Business Role

Model Quality And Related Models Using Provenance Data

Cohesive Visualized Instruction Representation

Generating A Framework For Prioritizing Machine Learning Model Offerings Via A Platform

Operations To Transform Dataset To Intent

Top collaborators

Balaji Ganesan

Renuka Sindhgatta

Manish Kesarwani

Nitin Gupta