Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Hashmath Shaik
Observed name:
Shaik, Hashmath
Institution:
Stony Brook University
Observed institutions:
Stony Brook University,
Lakehead University
ORCID:
0009-0000-0014-2322
Observed ORCID:
0009-0000-0014-2322
OpenAlex ID:
A5115756672
Using a Symbolic Knowledge Graph to Address LLM Limitations in Analog Circuit Topology Generation
2025
·
Hashmath Shaik
, Alex Doboli
·
IEEE Annual Computing and Communication Workshop and Conference (CCWC)
·
7
A Stacked Multi-Layered Perceptron - LLM Model for Extracting the Relations in Textual Descriptions
2025
·
Gnaneswar Villuri
, Hashmath Shaik
, et al.
·
IEEE Symposium on Computational Intelligence in Natural Language Processing and Social Media (CI-NLPSoMe)
·
5
Embrace LLM-Based Cognitive Architecture to Boost Team Problem-Solving in Open-Ended Tasks
2026
·
Hashmath Shaik
, Gnaneswar Villuri
, et al.
·
Systems
·
3
PDF
Concept Combinations with Generator and Validator Agents Prompted Using Insights from Concept Networks
2026
·
Hashmath Shaik
, Gnaneswar Villuri
, et al.
·
Studies in computational intelligence
·
2
Empowering Transformers for Evidence-Based Medicine
2023
·
Sabah Mohammed
, Jinan Fiaidhi
, et al.
·
medRxiv
·
2
PDF
Dynamic Adaptation of the LLM Context for Generating Routines with Coupled Semantics
2026
·
Gnaneswar Villuri
, Hashmath Shaik
, et al.
·
Lecture notes in computer science
·
1
PDF
Ask, Code, Review: A Three-Module Framework for AI in Programming Labs
2026
·
Gnaneswar Villuri
, Hashmath Shaik
, et al.
·
ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE)
·
1
Two Large Language Model-based Methods to Validate Open-Ended Problem Solving in Teams
2025
·
Hashmath Shaik
, Gnaneswar Villuri
, et al.
·
International Conference on Foundation and Large Language Models (FLLM)
·
1
MoSAIC: Learning DAG Scheduling Heuristics from Optimal Schedules through Motif-Aware Recovery and LLM-Guided Reasoning
2026
·
Ahir, Shiva
, Shaik, Hashmath
, et al.
·
arXiv (Cornell University)
PDF
Will the Judge Flip? Predicting Position-Sensitive LLM Judgments from Residual Stream Activations
2026
·
Shaik, Hashmath
, Villuri, Gnaneswar
, et al.
·
arXiv (Cornell University)
PDF
When Do Internal Probes Beat Reading the Answer? Miscalibrated Readouts and Behavior-Concealed Knowledge in Language Models
2026
·
Villuri, Gnaneswar
, Shaik, Hashmath
, et al.
·
arXiv (Cornell University)
PDF
The First Token Is Not the Verdict: Hidden Costs of Reading LLM Judges Without Generating
2026
·
Villuri, Gnaneswar
, Shaik, Hashmath
, et al.
·
arXiv (Cornell University)
PDF
Open-Ended LLM Problem Solving: Structured Scaffolding for Concept Combination, Agentic Control, and Cross-Coupled Symbolic Tasks
2026
·
Hashmath Shaik
, Gnaneswar Villuri
, et al.
·
IEEE Conference on Information Technology and Data Science (CITDS)
Hierarchical Structured Abstraction as an Inductive Bias for Out-Of-Distribution Generalisation
2026
·
Gnaneswar Villuri
, Hashmath Shaik
, et al.
·
IEEE Conference on Information Technology and Data Science (CITDS)
An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems
2024
·
Shaik, Hashmath
, Doboli, Alex
·
arXiv (Cornell University)
PDF
Show more works
View as search
Works count:
15
Citation count:
22
H-index:
3
I10-index:
Year
Topic
Type