activity
20212026
most citedQAID: Question Answering Inspired Few-shot Intent Detection

1 citations · 1 across the 8 of their papers we have counts for

collaborators

8 papers

cs.AI2026

Agent Lifecycle Toolkit (ALTK): Reusable Middleware Components for Robust AI Agents

Zidane Wright, Jason Tsay, Anupama Murthi +8

As AI agents move from demos into enterprise deployments, their failure modes become consequential: a misinterpreted tool argument can corrupt production data, a silent reasoning e…

cs.CL2025

CRISP: Complex Reasoning with Interpretable Step-based Plans

Matan Vetzler, Koren Lazar, Guy Uziel +3

Recent advancements in large language models (LLMs) underscore the need for stronger reasoning capabilities to solve complex problems effectively. While Chain-of-Thought (CoT) reas…

cs.SE2025

OASBuilder: Generating OpenAPI Specifications from Online API Documentation with Large Language Models

Koren Lazar, Matan Vetzler, Kiran Kate +8

AI agents and business automation tools interacting with external web services require standardized, machine-readable information about their APIs in the form of API specifications…

cs.MA2025

Effective Red-Teaming of Policy-Adherent Agents

Itay Nakash, George Kour, Koren Lazar +3

Task-oriented LLM-based agents are increasingly used in domains with strict policies, such as refund eligibility or cancellation rules. The challenge lies in ensuring that the agen…

cs.CL2024

SpeCrawler: Generating OpenAPI Specifications from API Documentation Using Large Language Models

Koren Lazar, Matan Vetzler, Guy Uziel +4

In the digital era, the widespread use of APIs is evident. However, scalable utilization of APIs poses a challenge due to structure divergence observed in online API documentation.…

cs.CL2023★ 1 cited

QAID: Question Answering Inspired Few-shot Intent Detection

Asaf Yehudai, Matan Vetzler, Yosi Mass +3

Intent detection with semantically similar fine-grained intents is a challenging task. To address it, we reformulate intent detection as a question-answering retrieval task by trea…

cs.CL2021

Filling the Gaps in Ancient Akkadian Texts: A Masked Language Modelling Approach

Koren Lazar, Benny Saret, Asaf Yehudai +3

We present models which complete missing text given transliterations of ancient Mesopotamian documents, originally written on cuneiform clay tablets (2500 BCE - 100 CE). Due to the…

cs.CL2021

Collecting a Large-Scale Gender Bias Dataset for Coreference Resolution and Machine Translation

Shahar Levy, Koren Lazar, Gabriel Stanovsky

Recent works have found evidence of gender bias in models of machine translation and coreference resolution using mostly synthetic diagnostic datasets. While these quantify bias in…