Searching in an XML Corpus Using Content and Structure. - Yiftah Ben-Aharon; Sara Cohen; Yael Grumbach; Yaron Kanza; Jonathan Mamou; Yehoshua Sagiv; Benjamin Sznajder; Efrat Twito (INEX, 2003)

Discovering concepts via semantic expansion of keyword queries. - Markus Lorch; Andrea Elias; Thomas Hampp-Bahnmüller; Benjamin Sznajder (LWA, 2007)

XML Fragments Extended with Database Operators. - Yosi Mass; Dafna Sheinwald; Benjamin Sznajder; Sivan Yogev (RIAO, 2007)

Beyond basic faceted search. - Ori Ben-Yitzhak; Nadav Golbandi; Nadav Har'El; Ronny Lempel; Andreas Neumann 001; Shila Ofek-Koifman; Dafna Sheinwald; Eugene J. Shekita; Benjamin Sznajder; Sivan Yogev (WSDM, 2008)

Towards an Integrated Approach to Music Retrieval. - Emanuele Di Buccio; Ivano Masiero; Yosi Mass; Massimo Melucci; Riccardo Miotto; Nicola Orio; Benjamin Sznajder (IRCDL, 2009)

A unified inverted index for an efficient image and text retrieval. - Jonathan Mamou; Yosi Mass; Michal Shmueli-Scheuer; Benjamin Sznajder (SIGIR, 2009)

A statistical approach to mining customers' conversational data from social media. - David Konopnicki; Michal Shmueli-Scheuer; Doron Cohen 001; Benjamin Sznajder; Jonathan Herzig; Ariel Raviv; N. Zwerling; Haggai Roitman; Yosi Mass (IBM J. Res. Dev., 2013)

On the Retrieval of Wikipedia Articles Containing Claims on Controversial Topics. - Haggai Roitman; Shay Hummel; Ella Rabinovich; Benjamin Sznajder; Noam Slonim; Ehud Aharoni (WWW (Companion Volume), 2016)

Unsupervised corpus-wide claim detection. - Ran Levy 001; Shai Gretz; Benjamin Sznajder; Shay Hummel; Ranit Aharonov; Noam Slonim (ArgMining@EMNLP, 2017)

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

Argument Invention from First Principles. - Yonatan Bilu; Ariel Gera; Daniel Hershcovich; Benjamin Sznajder; Dan Lahav; Guy Moshkowich; Anael Malet; Assaf Gavron; Noam Slonim (ACL (1), 2019)

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)

Controversy in Context. - Benjamin Sznajder; Ariel Gera; Yonatan Bilu; Dafna Sheinwald; Ella Rabinovich; Ranit Aharonov; David Konopnicki; Noam Slonim (CoRR, 2019)

Financial Event Extraction Using Wikipedia-Based Weak Supervision. - Liat Ein-Dor; Ariel Gera; Orith Toledo-Ronen; Alon Halfon; Benjamin Sznajder (CoRR, 2019)

Corpus Wide Argument Mining - A Working Solution. - Liat Ein-Dor; Eyal Shnarch; Lena Dankin; Alon Halfon; Benjamin Sznajder; Ariel Gera; Carlos Alzate; Martin Gleize; Leshem Choshen; Yufang Hou 001; Yonatan Bilu; Ranit Aharonov; et al. (AAAI, 2020)

Summary Grounded Conversation Generation. - R. Chulaka Gunasekara; Guy Feigenblat; Benjamin Sznajder; Sachindra Joshi; David Konopnicki (ACL/IJCNLP (Findings), 2021)

TWEETSUMM - A Dialog Summarization Dataset for Customer Service. - Guy Feigenblat; R. Chulaka Gunasekara; Benjamin Sznajder; Sachindra Joshi; David Konopnicki; Ranit Aharonov (EMNLP (Findings), 2021)

Using Question Answering Rewards to Improve Abstractive Summarization. - R. Chulaka Gunasekara; Guy Feigenblat; Benjamin Sznajder; Ranit Aharonov; Sachindra Joshi (EMNLP (Findings), 2021)

HowSumm: A Multi-Document Summarization Dataset Derived from WikiHow Articles. - Odellia Boni; Guy Feigenblat; Guy Lev; Michal Shmueli-Scheuer; Benjamin Sznajder; David Konopnicki (CoRR, 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)

Heuristic-based Inter-training to Improve Few-shot Multi-perspective Dialog Summarization. - Benjamin Sznajder; R. Chulaka Gunasekara; Guy Lev; Sachin Joshi; Eyal Shnarch; Noam Slonim (CoRR, 2022)

The Benefits of Bad Advice: Autocontrastive Decoding across Model Layers. - Ariel Gera; Roni Friedman; Ofir Arviv; R. Chulaka Gunasekara; Benjamin Sznajder; Noam Slonim; Eyal Shnarch (ACL (1), 2023)

Label-Efficient Model Selection for Text Generation. - Shir Ashury-Tahan; Ariel Gera; Benjamin Sznajder; Leshem Choshen; Liat Ein-Dor; Eyal Shnarch (ACL (1), 2024)

InspectorRAGet: An Introspection Platform for RAG Evaluation. - Kshitij Fadnis; Siva Sankalp Patel; Odellia Boni; Yannis Katsis; Sara Rosenthal; Benjamin Sznajder; Marina Danilevsky (CoRR, 2024)

An Analysis of Hyper-Parameter Optimization Methods for Retrieval Augmented Generation. - Matan Orbach; Ohad Eytan; Benjamin Sznajder; Ariel Gera; Odellia Boni; Yoav Kantor; Gal Bloch; Omri Levy; Hadas Abraham; Nitzan Barzilay; Eyal Shnarch; Michael Factor; et al. (CoRR, 2025)