3 papers
cs.CL2026
Linguistic and Argument Diversity in Synthetic Data for Function-Calling Agents
Dan Greenstein, Zohar Karnin, Chen Amiraz +1
The construction of function calling agents has emerged as a promising avenue for extending model capabilities. A major challenge for this task is obtaining high quality diverse da…
cs.CL2025
The Cross-Lingual Cost: Retrieval Biases in RAG over Arabic-English Corpora
Chen Amiraz, Yaroslav Fyodorov, Elad Haramaty +2
Cross-lingual retrieval-augmented generation (RAG) is a critical capability for retrieving and generating answers across languages. Prior work in this context has mostly focused on…
cs.CL2025
The Distracting Effect: Understanding Irrelevant Passages in RAG
Chen Amiraz, Florin Cuconasu, Simone Filice +1
A well-known issue with Retrieval Augmented Generation (RAG) is that retrieved passages that are irrelevant to the query sometimes distract the answer-generating LLM, causing it to…