Vinod Muthusamy
7 papers · 2020–2025 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌉 Interdisciplinary Bridge · Silver 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (27) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze
🏆
Keyword Champion
(2)
❓
The Questioner
Top co-authors
Research topics
Artificial Intelligence
(6)
Core AI
(6)
Machine Learning
(5)
Natural Language Processing
(5)
Resources & Methods
(4)
Application Areas
(3)
Learning Types · Machine Learning
(3)
Applications · Natural Language Processing
(2)
Core Methods
(2)
Generation
(2)
Optimization & Theory
(2)
Computer Science
(1)
Deep Learning
(1)
Applications · Computer Science
(1)
Learning Types · Deep Learning
(1)
Keywords
large language model
(4)
business process
(2)
tool use
(2)
dataset creation
(1)
prompt engineering
(1)
text generation
(1)
natural language generation
(1)
explanation generation
(1)
intent classification
(1)
natural language understanding
(1)
model interpretability
(1)
autonomous agent
(1)
confidence estimation
(1)
prompt optimization
(1)
intermediate representation
(1)
code generation
(1)
in-context learning
(1)
slot filling
(1)
knowledge worker
(1)
model selection
(1)
Papers
FLOW-BENCH: Towards Conversational Generation of Enterprise Workflows
EMNLP 2025
OptiSeq: Ordering Examples On-The-Fly for In-Context Learning
EMNLP 2025
API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs
ACL 2024
Who Knows the Answer? Finding the Best Model and Prompt for Each Query Using Confidence-Based Search
AAAI 2024
Towards Hybrid Automation by Bootstrapping Conversational Interfaces for IT Operation Tasks
AAAI 2023
Towards large language model-based personal agents in the enterprise: Current trends and open problems
EMNLP 2023
AI Trust in Business Processes: The Need for Process-Aware Explanations
AAAI 2020