2 citations · 4 across the 8 of their papers we have counts for
9 papers
You Know What I Mean: A Benchmark for Agentic Conversational Reference Grounding
Karen Fuchs, Uri Katz, Yoav Goldberg
Collaborative conversations frequently contain references whose targets are indirect rather than named: resolving "this looks like the fix discussed yesterday" requires combining c…
MameLoshnLM: Yiddish Language Model and Evaluation Benchmark
Uri Katz, Omer Goldman, Tomasz Limisiewicz +2
We present MameLoshnLM, the first open-source 8B-parameter language model built specifically for Yiddish. Despite Yiddish's rich textual tradition, its limited digital presence and…
Understanding Usage and Engagement in AI-Powered Scientific Research Tools: The Asta Interaction Dataset
Dany Haddad, Dan Bareket, Joseph Chee Chang +19
AI-powered scientific research tools are rapidly being integrated into research workflows, yet the field lacks a clear lens into how researchers use these systems in real-world set…
NER Retriever: Zero-Shot Named Entity Retrieval with Type-Aware Embeddings
Or Shachar, Uri Katz, Yoav Goldberg +1
We present NER Retriever, a zero-shot retrieval framework for ad-hoc Named Entity Retrieval, a variant of Named Entity Recognition (NER), where the types of interest are not provid…
Knowledge Navigator: LLM-guided Browsing Framework for Exploratory Search in Scientific Literature
Uri Katz, Mosh Levy, Yoav Goldberg
The exponential growth of scientific literature necessitates advanced tools for effective knowledge exploration. We present Knowledge Navigator, a system designed to enhance explor…
NERetrieve: Dataset for Next Generation Named Entity Recognition and Retrieval
Uri Katz, Matan Vetzler, Amir DN Cohen +1
Recognizing entities in texts is a central need in many information-seeking scenarios, and indeed, Named Entity Recognition (NER) is arguably one of the most successful examples of…
Answering Questions by Meta-Reasoning over Multiple Chains of Thought
Ori Yoran, Tomer Wolfson, Ben Bogin +3
Modern systems for multi-hop question answering (QA) typically break questions into a sequence of reasoning steps, termed chain-of-thought (CoT), before arriving at a final answer.…
Inferring Implicit Relations in Complex Questions with Language Models
Uri Katz, Mor Geva, Jonathan Berant
A prominent challenge for modern language understanding systems is the ability to answer implicit reasoning questions, where the required reasoning steps for answering the question…
What's in your Head? Emergent Behaviour in Multi-Task Transformer Models
Mor Geva, Uri Katz, Aviv Ben-Arie +1
The primary paradigm for multi-task training in natural language processing is to represent the input with a shared pre-trained language model, and add a small, thin network (head)…