WebSuite: A Tool Suite for Harnessing Web Data. - Catriel Beeri; Gershon Elber; Tova Milo; Yehoshua Sagiv; Oded Shmueli; Naftali Tishby; Yakov A. Kogan; David Konopnicki; Pini Mogilevski; Noam Slonim (WebDB, 1998)

Agglomerative Information Bottleneck. - Noam Slonim; Naftali Tishby (NIPS, 1999)

Data Clustering by Markovian Relaxation and the Information Bottleneck Method. - Naftali Tishby; Noam Slonim (NIPS, 2000)

Document clustering using word clusters via the information bottleneck method. - Noam Slonim; Naftali Tishby (SIGIR, 2000)

Agglomerative Multivariate Information Bottleneck. - Noam Slonim; Nir Friedman; Naftali Tishby (NIPS, 2001)

Multivariate Information Bottleneck. - Nir Friedman; Ori Mosenzon; Noam Slonim; Naftali Tishby (UAI, 2001)

Maximum Likelihood and the Information Bottleneck. - Noam Slonim; Yair Weiss (NIPS, 2002)

Unsupervised document classification using sequential information maximization. - Noam Slonim; Nir Friedman; Naftali Tishby (SIGIR, 2002)

Discriminative Feature Selection via Multiclass Variable Memory Markov Model. - Noam Slonim; Gill Bejerano; Shai Fine; Naftali Tishby (EURASIP J. Adv. Signal Process., 2003)

Estimating mutual information and multi-information in large networks - Noam Slonim; Gurinder S. Atwal; Gasper Tkacik; William Bialek (CoRR, 2005)

Information Bottleneck for Non Co-Occurrence Data. - Yevgeny Seldin; Noam Slonim; Naftali Tishby (NIPS, 2006)

Multivariate Information Bottleneck. - Noam Slonim; Nir Friedman; Naftali Tishby (Neural Comput., 2006)

Parallel Pairwise Clustering. - Elad Yom-Tov; Noam Slonim (SDM, 2009)

Predicting Customer Churn in Mobile Networks through Analysis of Social Groups. - Yossi Richter; Elad Yom-Tov; Noam Slonim (SDM, 2010)

Active Online Classification via Information Maximization. - Noam Slonim; Elad Yom-Tov; Koby Crammer (IJCAI, 2011)

Prognostic Data-Driven Clinical Decision Support - Formulation and Implications. - Ruty Rinott; Boaz Carmeli; Carmel Kent; Daphna Landau; Yonatan Maman; Yoav Rubin; Noam Slonim (MIE, 2011)

Utilizing assigned treatments as labels for supervised machine learning in clinical decision support. - Ruty Rinott; Boaz Carmeli; Carmel Kent; Yonatan Maman; Yoav Rubin; Noam Slonim (IHI, 2012)

Hartigan's K-Means Versus Lloyd's K-Means - Is It Time for a Change? - Noam Slonim; Ehud Aharoni; Koby Crammer (IJCAI, 2013)

A Benchmark Dataset for Automatic Detection of Claims and Evidence in the Context of Controversial Topics. - Ehud Aharoni; Anatoly Polnarov; Tamar Lavee; Daniel Hershcovich; Ran Levy 001; Ruty Rinott; Dan Gutfreund; Noam Slonim (ArgMining@ACL, 2014)

Context Dependent Claim Detection. - Ran Levy 001; Yonatan Bilu; Daniel Hershcovich; Ehud Aharoni; Noam Slonim (COLING, 2014)

Claims on demand - an initial demonstration of a system for automatic detection and polarity identification of context dependent claims in massive corpora. - Noam Slonim; Ehud Aharoni; Carlos Alzate; Roy Bar-Haim; Yonatan Bilu; Lena Dankin; Iris Eiron; Daniel Hershcovich; Shay Hummel; Mitesh M. Khapra; Tamar Lavee; Ran Levy 001; et al. (COLING (Demos), 2014)

TR9856: A Multi-word Term Relatedness Benchmark. - Ran Levy 001; Liat Ein-Dor; Shay Hummel; Ruty Rinott; Noam Slonim (ACL (2), 2015)

Show Me Your Evidence - an Automatic Method for Context Dependent Evidence Detection. - Ruty Rinott; Lena Dankin; Carlos Alzate Perez; Mitesh M. Khapra; Ehud Aharoni; Noam Slonim (EMNLP, 2015)

Automatic Claim Negation: Why, How and When. - Yonatan Bilu; Daniel Hershcovich; Noam Slonim (ArgMining@HLT-NAACL, 2015)

Debating Technologies (Dagstuhl Seminar 15512). - Iryna Gurevych; Eduard H. Hovy; Noam Slonim; Benno Stein 001 (Dagstuhl Reports, 2015)

Automatic Arguments Construction - From Search Engine to Research Engine. - Dan Gutfreund; Yoav Katz; Noam Slonim (AAAI Fall Symposia, 2016)

Claim Synthesis via Predicate Recycling. - Yonatan Bilu; Noam Slonim (ACL (2), 2016)

Expert Stance Graphs for Computational Argumentation. - Orith Toledo-Ronen; Roy Bar-Haim; Noam Slonim (ArgMining@ACL, 2016)

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)

Improving Claim Stance Classification with Lexical Knowledge Expansion and Context Utilization. - Roy Bar-Haim; Lilach Edelstein; Charles Jochim; Noam Slonim (ArgMining@EMNLP, 2017)

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

Stance Classification of Context-Dependent Claims. - Roy Bar-Haim; Indrajit Bhattacharya; Francesco Dinuzzo; Amrita Saha; Noam Slonim (EACL (1), 2017)

GRASP: Rich Patterns for Argumentation Mining. - Eyal Shnarch; Ran Levy 001; Vikas C. Raykar; Noam Slonim (EMNLP, 2017)

Learning Thematic Similarity Metric from Article Sections Using Triplet Networks. - Liat Ein-Dor; Yosi Mass; Alon Halfon; Elad Venezian; Ilya Shnayderman; Ranit Aharonov; Noam Slonim (ACL (2), 2018)

Will it Blend? Blending Weak and Strong Labeled Data in a Neural Network for Argumentation Mining. - Eyal Shnarch; Carlos Alzate; Lena Dankin; Martin Gleize; Yufang Hou 001; Leshem Choshen; Ranit Aharonov; Noam Slonim (ACL (2), 2018)

Towards an argumentative content search engine using weak supervision. - Ran Levy 001; Ben Bogin; Shai Gretz; Ranit Aharonov; Noam Slonim (COLING, 2018)

Learning Sentiment Composition from Sentiment Lexicons. - Orith Toledo-Ronen; Roy Bar-Haim; Alon Halfon; Charles Jochim; Amir Menczel; Ranit Aharonov; Noam Slonim (COLING, 2018)

Project Debater. - Noam Slonim (COMMA, 2018)

Listening Comprehension over Argumentative Content. - Shachar Mirkin; Guy Moshkowich; Matan Orbach; Lili Kotlerman; Yoav Kantor; Tamar Lavee; Michal Jacovi; Yonatan Bilu; Ranit Aharonov; Noam Slonim (EMNLP, 2018)

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

Semantic Relatedness of Wikipedia Concepts - Benchmark Data and a Working Solution. - Liat Ein-Dor; Alon Halfon; Yoav Kantor; Ran Levy 001; Yosi Mass; Ruty Rinott; Eyal Shnarch; Noam Slonim (LREC, 2018)

SLIDE - a Sentiment Lexicon of Common Idioms. - Charles Jochim; Francesca Bonin; Roy Bar-Haim; Noam Slonim (LREC, 2018)

A Recorded Debating Dataset. - Shachar Mirkin; Michal Jacovi; Tamar Lavee; Hong-Kwang Kuo; Samuel Thomas 001; Leslie Sager; Lili Kotlerman; Elad Venezian; Noam Slonim (LREC, 2018)

What did you Mention? A Large Scale Mention Detection Benchmark for Spoken and Written Text. - Yosi Mass; Lili Kotlerman; Shachar Mirkin; Elad Venezian; Gera Witzling; Noam Slonim (CoRR, 2018)

From Surrogacy to Adoption; From Bitcoin to Cryptocurrency: Debate Topic Expansion. - Roy Bar-Haim; Dalia Krieger; Orith Toledo-Ronen; Lilach Edelstein; Yonatan Bilu; Alon Halfon; Yoav Katz; Amir Menczel; Ranit Aharonov; Noam Slonim (ACL (1), 2019)

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)

Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network. - Martin Gleize; Eyal Shnarch; Leshem Choshen; Lena Dankin; Guy Moshkowich; Ranit Aharonov; Noam Slonim (ACL (1), 2019)

Towards Effective Rebuttal: Listening Comprehension Using Corpus-Wide Claim Mining. - Tamar Lavee; Matan Orbach; Lili Kotlerman; Yoav Kantor; Shai Gretz; Lena Dankin; Michal Jacovi; Yonatan Bilu; Ranit Aharonov; Noam Slonim (ArgMining@ACL, 2019)

Learning to combine Grammatical Error Corrections. - Yoav Kantor; Yoav Katz; Leshem Choshen; Edo Cohen-Karlik; Naftali Liberman; Assaf Toledo; Amir Menczel; Noam Slonim (BEA@ACL, 2019)

A Dataset of General-Purpose Rebuttal. - Matan Orbach; Yonatan Bilu; Ariel Gera; Yoav Kantor; Lena Dankin; Tamar Lavee; Lili Kotlerman; Shachar Mirkin; Michal Jacovi; Ranit Aharonov; Noam Slonim (EMNLP/IJCNLP (1), 2019)

Automatic Argument Quality Assessment - New Datasets and Methods. - Assaf Toledo; Shai Gretz; Edo Cohen-Karlik; Roni Friedman; Elad Venezian; Dan Lahav; Michal Jacovi; Ranit Aharonov; Noam Slonim (EMNLP/IJCNLP (1), 2019)

Syntactic Interchangeability in Word Embedding Models. - Daniel Hershcovich; Assaf Toledo; Alon Halfon; Noam Slonim (CoRR, 2019)

Towards Effective Rebuttal: Listening Comprehension using Corpus-Wide Claim Mining. - Tamar Lavee; Matan Orbach; Lili Kotlerman; Yoav Kantor; Shai Gretz; Lena Dankin; Shachar Mirkin; Michal Jacovi; Yonatan Bilu; Ranit Aharonov; Noam Slonim (CoRR, 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)

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)

A Large-Scale Dataset for Argument Quality Ranking: Construction and Analysis. - Shai Gretz; Roni Friedman; Edo Cohen-Karlik; Assaf Toledo; Dan Lahav; Ranit Aharonov; Noam Slonim (AAAI, 2020)

From Arguments to Key Points: Towards Automatic Argument Summarization. - Roy Bar-Haim; Lilach Eden; Roni Friedman; Yoav Kantor; Dan Lahav; Noam Slonim (ACL, 2020)

Out of the Echo Chamber: Detecting Countering Debate Speeches. - Matan Orbach; Yonatan Bilu; Assaf Toledo; Dan Lahav; Michal Jacovi; Ranit Aharonov; Noam Slonim (ACL, 2020)

Quantitative argument summarization and beyond: Cross-domain key point analysis. - Roy Bar-Haim; Yoav Kantor; Lilach Eden; Roni Friedman; Dan Lahav; Noam Slonim (EMNLP (1), 2020)

Active Learning for BERT: An Empirical Study. - Liat Ein-Dor; Alon Halfon; Ariel Gera; Eyal Shnarch; Lena Dankin; Leshem Choshen; Marina Danilevsky; Ranit Aharonov; Yoav Katz; Noam Slonim (EMNLP (1), 2020)

The workweek is the best time to start a family - A Study of GPT-2 Based Claim Generation. - Shai Gretz; Yonatan Bilu; Edo Cohen-Karlik; Noam Slonim (EMNLP (Findings), 2020)

Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains. - Eyal Shnarch; Leshem Choshen; Guy Moshkowich; Ranit Aharonov; Noam Slonim (EMNLP (Findings), 2020)

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

What if we had no Wikipedia? Domain-independent Term Extraction from a Large News Corpus. - Yonatan Bilu; Shai Gretz; Edo Cohen; Noam Slonim (CoRR, 2020)

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

Every Bite Is an Experience: Key Point Analysis of Business Reviews. - Roy Bar-Haim; Lilach Eden; Yoav Kantor; Roni Friedman; Noam Slonim (ACL/IJCNLP (1), 2021)

Overview of the 2021 Key Point Analysis Shared Task. - Roni Friedman; Lena Dankin; Yufang Hou 001; Ranit Aharonov; Yoav Katz; Noam Slonim (ArgMining@EMNLP, 2021)

Project Debater APIs: Decomposing the AI Grand Challenge. - Roy Bar-Haim; Yoav Kantor; Elad Venezian; Yoav Katz; Noam Slonim (EMNLP (Demos), 2021)

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)

Quality Controlled Paraphrase Generation. - Elron Bandel; Ranit Aharonov; Michal Shmueli-Scheuer; Ilya Shnayderman; Noam Slonim; Liat Ein-Dor (ACL (1), 2022)

Cluster & Tune: Boost Cold Start Performance in Text Classification. - Eyal Shnarch; Ariel Gera; Alon Halfon; Lena Dankin; Leshem Choshen; Ranit Aharonov; Noam Slonim (ACL (1), 2022)

Zero-Shot Text Classification with Self-Training. - Ariel Gera; Alon Halfon; Eyal Shnarch; Yotam Perlitz; Liat Ein-Dor; Noam Slonim (EMNLP, 2022)

Project Debater - an autonomous debating system. - Noam Slonim (ISAIM, 2022)

Multi-Domain Targeted Sentiment Analysis. - Orith Toledo-Ronen; Matan Orbach; Yoav Katz; Noam Slonim (NAACL-HLT, 2022)

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)

Fusing finetuned models for better pretraining. - Leshem Choshen; Elad Venezian; Noam Slonim; Yoav Katz (CoRR, 2022)

Diversity Enhanced Table-to-Text Generation via Type Control. - Yotam Perlitz; Liat Ein-Dor; Dafna Sheinwald; Noam Slonim; Michal Shmueli-Scheuer (CoRR, 2022)

VIRATrustData: A Trust-Annotated Corpus of Human-Chatbot Conversations About COVID-19 Vaccines. - Roni Friedman; João Sedoc; Shai Gretz; Assaf Toledo; Rose Weeks; Naor Bar-Zeev; Yoav Katz; Noam Slonim (CoRR, 2022)

Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours. - Eyal Shnarch; Alon Halfon; Ariel Gera; Marina Danilevsky; Yannis Katsis; Leshem Choshen; Martín Santillán Cooper; Dina Epelboim; Zheng Zhang 043; Dakuo Wang; Lucy Yip; Liat Ein-Dor; et al. (CoRR, 2022)

Efficient Methods for Natural Language Processing: A Survey. - Marcos V. Treviso; Tianchu Ji; Ji-Ung Lee; Betty van Aken; Qingqing Cao; Manuel R. Ciosici; Michael Hassid; Kenneth Heafield; Sara Hooker; Pedro Henrique Martins; André F. T. Martins; Peter A. Milder; et al. (CoRR, 2022)

ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning. - Shachar Don-Yehiya; Elad Venezian; Colin Raffel; Noam Slonim; Yoav Katz; Leshem Choshen (CoRR, 2022)

SimpleStyle: An Adaptable Style Transfer Approach. - Elron Bandel; Yoav Katz; Noam Slonim; Liat Ein-Dor (CoRR, 2022)

Revisiting Sequential Information Bottleneck: New Implementation and Evaluation. - Assaf Toledo; Elad Venezian; Noam Slonim (Entropy, 2022)

nBIIG: A Neural BI Insights Generation System for Table Reporting. - Yotam Perlitz; Dafna Sheinwald; Noam Slonim; Michal Shmueli-Scheuer (AAAI, 2023)

ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning. - Shachar Don-Yehiya; Elad Venezian; Colin Raffel; Noam Slonim; Leshem Choshen (ACL (1), 2023)

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)

Benchmark Data and Evaluation Framework for Intent Discovery Around COVID-19 Vaccine Hesitancy. - Shai Gretz; Assaf Toledo; Roni Friedman; Dan Lahav; Rose Weeks; Naor Bar-Zeev; João Sedoc; Pooja Sangha; Yoav Katz; Noam Slonim (EACL (Findings), 2023)

Where to start? Analyzing the potential value of intermediate models. - Leshem Choshen; Elad Venezian; Shachar Don-Yehiya; Noam Slonim; Yoav Katz (EMNLP, 2023)

Welcome to the Real World: Efficient, Incremental and Scalable Key Point Analysis. - Lilach Eden; Yoav Kantor; Matan Orbach; Yoav Katz; Noam Slonim; Roy Bar-Haim (EMNLP (Industry Track), 2023)

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)

Knowledge is a Region in Weight Space for Fine-tuned Language Models. - Almog Gueta; Elad Venezian; Colin Raffel; Noam Slonim; Yoav Katz; Leshem Choshen (EMNLP (Findings), 2023)

Active Learning for Natural Language Generation. - Yotam Perlitz; Ariel Gera; Michal Shmueli-Scheuer; Dafna Sheinwald; Noam Slonim; Liat Ein-Dor (EMNLP, 2023)

Efficient Methods for Natural Language Processing: A Survey. - Marcos V. Treviso; Ji-Ung Lee; Tianchu Ji; Betty van Aken; Qingqing Cao; Manuel R. Ciosici; Michael Hassid; Kenneth Heafield; Sara Hooker; Colin Raffel; Pedro Henrique Martins; André F. T. Martins; et al. (Trans. Assoc. Comput. Linguistics, 2023)

Efficient Benchmarking (of Language Models). - Yotam Perlitz; Elron Bandel; Ariel Gera; Ofir Arviv; Liat Ein-Dor; Eyal Shnarch; Noam Slonim; Michal Shmueli-Scheuer; Leshem Choshen (NAACL-HLT, 2024)

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)

Debatable Intelligence: Benchmarking LLM Judges via Debate Speech Evaluation. - Noy Sternlicht; Ariel Gera; Roy Bar-Haim; Tom Hope; Noam Slonim (CoRR, 2025)