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Alberto Purpura
Observed name:
Purpura, Alberto
Institution:
Capital One (United States)
Observed institution:
Capital One (United States)
OpenAlex ID:
A5117864929
Building Safe GenAI Applications: An End-to-End Overview of Red Teaming for Large Language Models
2025
·
Alberto Purpura
, Sahil Wadhwa
, et al.
·
Workshop on Trustworthy NLP (TrustNLP)
·
11
PDF
Abstract 5006: Multi-modal large language models for metastatic breast cancer prognosis
2025
·
Raphael Pelossof
, Mark Carty
, et al.
·
Cancer Research
·
1
Deconstructing Instruction-Following: A New Benchmark for Granular Evaluation of Large Language Model Instruction Compliance Abilities
2026
·
Association for Computational Linguistics 2026
, Badyal, Sahil
, et al.
·
Underline Science Inc.
Deconstructing Instruction-Following: A New Benchmark for Granular Evaluation of Large Language Model Instruction Compliance Abilities
2026
·
Purpura, Alberto
, Wang, Li
, et al.
·
arXiv (Cornell University)
PDF
Enhancing LLM Instruction Following: An Evaluation-Driven Multi-Agentic Workflow for Prompt Instructions Optimization
2026
·
Purpura, Alberto
, Wang, Li
, et al.
·
arXiv (Cornell University)
PDF
Deconstructing Instruction-Following: A New Benchmark for Granular Evaluation of Large Language Model Instruction Compliance Abilities
2026
·
Alberto Purpura
, Li Wang
, et al.
·
Conference of the European Chapter of the Association for Computational Linguistics
PDF
A Multi-Stage Workflow for the Review of Marketing Content with Reasoning Large Language Models
2025
·
Purpura, Alberto
, Chen, Emily
, et al.
·
arXiv (Cornell University)
PDF
Building Safe GenAI Applications: An End-to-End Overview of Red Teaming for Large Language Models
2025
·
Purpura, Alberto
, Wadhwa, Sahil
, et al.
·
arXiv (Cornell University)
PDF
GRAID: Synthetic Data Generation with Geometric Constraints and Multi-Agentic Reflection for Harmful Content Detection
2025
·
Melissa Kazemi Rad
, Alberto Purpura
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
PDF
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Works count:
11
Citation count:
12
H-index:
1
I10-index:
1
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