4 papers
Polarity-Aware Probing for Quantifying Latent Alignment in Language Models
Sabrina Sadiekh, Elena Ericheva, Chirag Agarwal
Advances in unsupervised probes such as Contrast-Consistent Search (CCS), which reveal latent beliefs without relying on token outputs, raise the question of whether these methods…
EGOILLUSION: Benchmarking Hallucinations in Egocentric Video Understanding
Ashish Seth, Utkarsh Tyagi, Ramaneswaran Selvakumar +6
Multimodal Large Language Models (MLLMs) have demonstrated remarkable performance in complex multimodal tasks. While MLLMs excel at visual perception and reasoning in third-person…
Towards a Systematic Evaluation of Hallucinations in Large-Vision Language Models
Ashish Seth, Dinesh Manocha, Chirag Agarwal
Large Vision-Language Models (LVLMs) have demonstrated remarkable performance in complex multimodal tasks. However, these models still suffer from hallucinations, particularly when…
Towards Operationalizing Right to Data Protection
Abhinav Java, Simra Shahid, Chirag Agarwal
The widespread practice of indiscriminate data scraping to fine-tune language models (LMs) raises significant legal and ethical concerns, particularly regarding compliance with dat…