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The End of “Seeing is Believing” – Securing Identity in the Age of Generative AI by Richa Singh

SIT 001 Amar Nath and Shashi Khosla School of Information Technology, IIT Delhi, Hauz Khas, New Delhi 110016, India, Delhi, Delhi, India

Venue: SIT001 Online Link: https://teams.microsoft.com/meet/4492945053702?p=Gz8szja9ebX7NoIitC Abstract: "In an era where AI can synthesize hyper-realistic faces and voices, does the axiom 'seeing is believing' still hold water?" This question strikes at the very… Read More »The End of “Seeing is Believing” – Securing Identity in the Age of Generative AI by Richa Singh

Unifying Large Language Models and Knowledge Graphs for Faithful and Interpretable Reasoning by Gholamreza (Reza) Haffari

SIT 001 Amar Nath and Shashi Khosla School of Information Technology, IIT Delhi, Hauz Khas, New Delhi 110016, India, Delhi, Delhi, India

Venue: SIT001 Abstract: Large Language Models (LLMs) demonstrate strong general reasoning ability, yet still suffer from hallucination, limited faithfulness, and a lack of interpretability—especially in knowledge-intensive or domain-specific settings. Knowledge… Read More »Unifying Large Language Models and Knowledge Graphs for Faithful and Interpretable Reasoning by Gholamreza (Reza) Haffari

Relational Transformer: Toward Zero-Shot Foundation Models for Relational Data by Rishabh Ranjan

Bharti 501 IIT Campus, Hauz Khas, New Delhi

Venue: Bharti501 Abstract: Pretrained transformers readily adapt to new sequence modeling tasks via zero-shot prompting, but relational domains still lack architectures that transfer across datasets and tasks. The core challenge is… Read More »Relational Transformer: Toward Zero-Shot Foundation Models for Relational Data by Rishabh Ranjan