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Sambit Ghosh

dblp:199/0180 · DBLP profile ↗
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4ranked-venue papers
0as first author
4since 2021 · last 2026
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 4 · 4 since 2021Graphics, computer vision, multimedia, augmented reality and games · 2 · 2 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
3 papers
Data mining · 50% Data models and query languages · 50%
Software engineering, system software, and programming languages
2 papers
Program synthesis and code generation · 57% Services computing and microservices · 43%
Artificial intelligence
2 papers
Language models and text generation · 100%
Human-computer interaction and pervasive computing
1 paper
Human-AI interaction · 100%

Topics — the 3 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data mining
exploratory data analysis
1.012026
DFAgent: From Natural Language Data Interactions to Reusable Agent-Ready Tools · AAAI 2026
Natural language and speech › Language models and text generation
code generation
0.812024
LLM-powered GraphQL Generator for Data Retrieval · IJCAI 2024
Natural language and speech › Language models and text generation › agentic language model › tool-augmented language models
function calling
0.812024
Sequential API Function Calling Using GraphQL Schema · EMNLP 2024

Methods — techniques the papers use, named apart from their topics

large language model · 6.8model context protocol · 3.0
YearPublicationVenuePosition
2026 DFAgent: From Natural Language Data Interactions to Reusable Agent-Ready Tools
abstract
We present DataFoundry Agent (DFAgent), a system that forges reusable, agent-ready tools from interactive data exploration, quality, and remediation tasks. Users engage with data through natural-language prompts for operations that include inspection, transformation, and visualization. These interactions automatically generate executable code snippets that are logged. From these snippets, DFAgent acts as a foundry, synthesizing a governed catalog of enriched tools exposed via the Model Context Protocol (MCP). In this way, user-derived logic for all data operations is transformed into standardized, composable tools without reimplementation. We demonstrate how diverse interactions accumulate into a reusable toolset, highlighting a paradigm that unifies natural language interaction, executable code generation, and tool foundry processes for agentic data systems.
Neelamadhav Gantayat, Renuka Sindhgatta, Sambit Ghosh, Sameep Mehta, Soujanya Soni
AAAI3
2024 Sequential API Function Calling Using GraphQL Schema
abstract
Avirup Saha, Lakshmi Mandal, Balaji Ganesan, Sambit Ghosh, Renuka Sindhgatta, Carlos Eberhardt, Dan Debrunner, Sameep Mehta. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. 2024.
Avirup Saha, Lakshmi Mandal, Balaji Ganesan, Sambit Ghosh, Renuka Sindhgatta, Carlos Eberhardt, Dan Debrunner, Sameep Mehta
EMNLP4
2024 LLM-powered GraphQL Generator for Data Retrieval
Balaji Ganesan, Sambit Ghosh, Nitin Gupta 0005, Manish Kesarwani, Sameep Mehta, Renuka Sindhgatta
IJCAI2
2023 The Contribution of Human Cognition and Decision-Making to Understanding the Dynamics of Chemical Manufacturing Process Tasks
Mrunal V. Sontakke, Sounak Banerjee 0002, Sambit Ghosh, B. Wayne Bequette, Wayne D. Gray
CogSci3