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Lamogha Chiazor

3 accepted papers

2025

DECASTE: Unveiling Caste Stereotypes in Large Language Models Through Multi-Dimensional Bias Analysis

IJCAI 2025

Recent advancements in large language models (LLMs) have revolutionized natural language processing (NLP) and expanded their applications across diverse domains. However, despite their impressive capabilities, LLMs have been shown to reflect and perpetuate harmful societal biases, including those ba

2024

MANDREL: Modular Reinforcement Learning Pipelines for Material Discovery

AAAI 2024technical

AI-driven materials discovery is evolving rapidly with new approaches and pipelines for experimentation and design. However, the pipelines are often designed in isolation. We introduce a modular reinforcement learning framework for inter-operable experimentation and design of tailored, novel molecul…

Cited by 1SourcePDFScholar
2024

SocialStigmaQA: A Benchmark to Uncover Stigma Amplification in Generative Language Models

AAAI 2024technical

Current datasets for unwanted social bias auditing are limited to studying protected demographic features such as race and gender. In this work, we introduce a comprehensive benchmark that is meant to capture the amplification of social bias, via stigmas, in generative language models. Taking inspir…

Cited by 18SourcePDFScholar