6 papers
AutoJourn: Multi-Perspective Summarisation, Bias Detection and Bias Neutralisation for LLM-Generated News in Automated Journalism
Himel Ghosh, Ahmed Mosharafa, Georg Groh
We present AutoJourn, a demonstration system for multi-perspective news generation and bias-aware evaluation using large language models (LLMs). The system tackles three core chall…
LLM BiasScope: A Real-Time Bias Analysis Platform for Comparative LLM Evaluation
Himel Ghosh, Nick Elias Werner
As large language models (LLMs) are deployed widely, detecting and understanding bias in their outputs is critical. We present LLM BiasScope, a web application for side-by-side com…
Explaining News Bias Detection: A Comparative SHAP Analysis of Transformer Model Decision Mechanisms
Himel Ghosh
Automated bias detection in news text is heavily used to support journalistic analysis and media accountability, yet little is known about how bias detection models arrive at their…
To Bias or Not to Bias: Detecting bias in News with bias-detector
Himel Ghosh, Ahmed Mosharafa, Georg Groh
Media bias detection is a critical task in ensuring fair and balanced information dissemination, yet it remains challenging due to the subjectivity of bias and the scarcity of high…
Sleepy Chauffeur Detection and Alert Techniques for Road Safety
Himel Ghosh, Sayak Chatterjee, Antik Ganguly +2
The most startling of the contemporary problems is the sleepiness of chauffeur which causes lots of car accidents. Prevention of those impending accidents by detecting and alerting…
Enabling Efficient Serverless Inference Serving for LLM (Large Language Model) in the Cloud
Himel Ghosh
This review report discusses the cold start latency in serverless inference and existing solutions. It particularly reviews the ServerlessLLM method, a system designed to address t…