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