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Manveer Singh Tamber

2 accepted papers

2025

Can’t Hide Behind the API: Stealing Black-Box Commercial Embedding Models

NAACL 2025findings

Embedding models that generate dense vector representations of text are widely used and hold significant commercial value. Companies such as OpenAI and Cohere offer proprietary embedding models via paid APIs, but despite being “hidden” behind APIs, these models are not protected from theft. We prese…

Cited by 4SourcePDFScholar
2025

FaithBench: A Diverse Hallucination Benchmark for Summarization by Modern LLMs

NAACL 2025short

Summarization is one of the most common tasks performed by large language models (LLMs), especially in applications like Retrieval-Augmented Generation (RAG). However, existing evaluations of hallucinations in LLM-generated summaries, and evaluations of hallucination detection models both suffer fro…