Learning Concept Abstractness Using Weak Supervision. - Ella Rabinovich; Benjamin Sznajder; Artem Spector; Ilya Shnayderman; Ranit Aharonov; David Konopnicki; Noam Slonim (EMNLP, 2018)

Fast End-to-End Wikification. - Ilya Shnayderman; Liat Ein-Dor; Yosi Mass; Alon Halfon; Benjamin Sznajder; Artem Spector; Yoav Katz; Dafna Sheinwald; Ranit Aharonov; Noam Slonim (CoRR, 2019)

Multilingual Argument Mining: Datasets and Analysis. - Orith Toledo-Ronen; Matan Orbach; Yonatan Bilu; Artem Spector; Noam Slonim (EMNLP (Findings), 2020)

YASO: A New Benchmark for Targeted Sentiment Analysis. - Matan Orbach; Orith Toledo-Ronen; Artem Spector; Ranit Aharonov; Yoav Katz; Noam Slonim (CoRR, 2020)

YASO: A Targeted Sentiment Analysis Evaluation Dataset for Open-Domain Reviews. - Matan Orbach; Orith Toledo-Ronen; Artem Spector; Ranit Aharonov; Yoav Katz; Noam Slonim (EMNLP (1), 2021)

An autonomous debating system. - Noam Slonim; Yonatan Bilu; Carlos Alzate; Roy Bar-Haim; Ben Bogin; Francesca Bonin; Leshem Choshen; Edo Cohen-Karlik; Lena Dankin; Lilach Edelstein; Liat Ein-Dor; Roni Friedman-Melamed; et al. (Nat., 2021)

Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis. - Liat Ein-Dor; Ilya Shnayderman; Artem Spector; Lena Dankin; Ranit Aharonov; Noam Slonim (AAAI, 2022)

Zero-shot Topical Text Classification with LLMs - an Experimental Study. - Shai Gretz; Alon Halfon; Ilya Shnayderman; Orith Toledo-Ronen; Artem Spector; Lena Dankin; Yannis Katsis; Ofir Arviv; Yoav Katz; Noam Slonim; Liat Ein-Dor (EMNLP (Findings), 2023)

Stay Tuned: An Empirical Study of the Impact of Hyperparameters on LLM Tuning in Real-World Applications. - Alon Halfon; Shai Gretz; Ofir Arviv; Artem Spector; Orith Toledo-Ronen; Yoav Katz; Liat Ein-Dor; Michal Shmueli-Scheuer; Noam Slonim (CoRR, 2024)

Conversational Prompt Engineering. - Liat Ein-Dor; Orith Toledo-Ronen; Artem Spector; Shai Gretz; Lena Dankin; Alon Halfon; Yoav Katz; Noam Slonim (CoRR, 2024)