Advances in Machine Learning & Artificial Intelligence(AMLAI)

Associate in Cyber Risk Advisory, Grant Thornton Advisors LLC, India

Publications

• Research Article   
  A Lightweight Contrastive System for Misinformation Detection in Social Media Tweets
  Author(s): Priyam Saha*
  
  A compact classification system was developed and submitted to Prompt RecOvery for MisInformation Detection (PROMID) Subtask 3 for the detection of misinformation in tweets about the Russia-Ukraine conflict on the Twitter platform, as provided by the workshop organizers at Forum for Information Retrieval Evaluation (FIRE) 2025, held at the Indian Institute of Technology (BHU) Varanasi, India. The proposed solution combines a frozen RoBERTa encoder, a small projection head trained with a supervised contrastive objective, and a lightweight classifier trained jointly with binary cross-entropy. Design choices were driven by compute and memory constraints; several practical implementation details and evaluation outcomes are reported to support reproducibility of results. The submission of predictions computed on the test dataset as provided by the organizers was made on the Codabench platf.. Read More»
  

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