3 papers
cs.CL2026
Iterate Until Retrieved: Factual Nugget Optimization for Discoverable Continual Corrections in Agentic RAG
Moshe Hazoom, Gal Patel, Alon Talmor +1
Agentic retrieval-augmented generation (RAG) systems in complex B2B (business-to-business) settings may often receive free-form response feedback. Rather than generic feedback sign…
cs.CL2023
MuLER: Detailed and Scalable Reference-based Evaluation
Taelin Karidi, Leshem Choshen, Gal Patel +1
We propose a novel methodology (namely, MuLER) that transforms any reference-based evaluation metric for text generation, such as machine translation (MT) into a fine-grained analy…
cs.CL2021
On Neurons Invariant to Sentence Structural Changes in Neural Machine Translation
Gal Patel, Leshem Choshen, Omri Abend
We present a methodology that explores how sentence structure is reflected in neural representations of machine translation systems. We demonstrate our model-agnostic approach with…