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researcher

Venkatesh Kodur

3 papers hereh-index 582 citations12 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.CL1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedCan AI Chatbots Pass the Fundamentals of Engineering (FE) and Principles and Practice of Engineering (PE) Structural Exams?

8 citations · 12 across the 3 of their papers we have counts for

collaborators

3 papers

cs.AI2026

Engineering Reasoning and Instruction (ERI) Benchmark: A Large Taxonomy-driven Dataset for Foundation Models and Agents

MZ Naser, Ahmad Bani Awwad, Zoie McCreery +8

The Engineering Reasoning and Instruction (ERI) benchmark is a taxonomy-driven instruction dataset designed to train and evaluate engineering-capable large language models (LLMs) a…

cs.LG2024★ 4 cited

A Review of 315 Benchmark and Test Functions for Machine Learning Optimization Algorithms and Metaheuristics with Mathematical and Visual Descriptions

M. Z. Naser, Mohammad Khaled al-Bashiti, Arash Teymori Gharah Tapeh +7

In the rapidly evolving optimization and metaheuristics domains, the efficacy of algorithms is crucially determined by the benchmark (test) functions. While several functions have…

cs.CL2023★ 8 cited

Can AI Chatbots Pass the Fundamentals of Engineering (FE) and Principles and Practice of Engineering (PE) Structural Exams?

M. Z. Naser, Brandon Ross, Jennier Ogle +4

The engineering community has recently witnessed the emergence of chatbot technology with the release of OpenAI ChatGPT-4 and Google Bard. While these chatbots have been reported t…

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