Noam Slonim
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
63
Venues
15
Active years
2000–2025
Best venue rank
A*
Where they publish
Papers
63 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | EMNLP | Debatable Intelligence: Benchmarking LLM Judges via Debate Speech Evaluation. | Noy Sternlicht, Ariel Gera, Roy Bar-Haim, Tom Hope, Noam Slonim |
| 2024 | NAACL | 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 |
| 2023 | AAAI | nBIIG: A Neural BI Insights Generation System for Table Reporting. | Yotam Perlitz, Dafna Sheinwald, Noam Slonim, Michal Shmueli-Scheuer |
| 2023 | ACL | ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning. | Shachar Don-Yehiya, Elad Venezian, Colin Raffel, Noam Slonim, Leshem Choshen |
| 2023 | ACL | 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 |
| 2023 | EACL | 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, Joo Sedoc, Pooja Sangha, Yoav Katz, Noam Slonim |
| 2023 | EMNLP | Where to start? Analyzing the potential value of intermediate models. | Leshem Choshen, Elad Venezian, Shachar Don-Yehiya, Noam Slonim, Yoav Katz |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | Knowledge is a Region in Weight Space for Fine-tuned Language Models. | Almog Gueta, Elad Venezian, Colin Raffel, Noam Slonim, Yoav Katz, Leshem Choshen |
| 2023 | EMNLP | Active Learning for Natural Language Generation. | Yotam Perlitz, Ariel Gera, Michal Shmueli-Scheuer, Dafna Sheinwald, Noam Slonim, Liat Ein-Dor |
| 2022 | AAAI | Fortunately, Discourse Markers Can Enhance Language Models for Sentiment Analysis. | Liat Ein-Dor, Ilya Shnayderman, Artem Spector, Lena Dankin, Ranit Aharonov, Noam Slonim |
| 2022 | ACL | Quality Controlled Paraphrase Generation. | Elron Bandel, Ranit Aharonov, Michal Shmueli-Scheuer, Ilya Shnayderman, Noam Slonim, Liat Ein-Dor |
| 2022 | ACL | Cluster & Tune: Boost Cold Start Performance in Text Classification. | Eyal Shnarch, Ariel Gera, Alon Halfon, Lena Dankin, Leshem Choshen, Ranit Aharonov, Noam Slonim |
| 2022 | EMNLP | Zero-Shot Text Classification with Self-Training. | Ariel Gera, Alon Halfon, Eyal Shnarch, Yotam Perlitz, Liat Ein-Dor, Noam Slonim |
| 2022 | ISAIM | Project Debater - an autonomous debating system. | Noam Slonim |
| 2022 | NAACL | Multi-Domain Targeted Sentiment Analysis. | Orith Toledo-Ronen, Matan Orbach, Yoav Katz, Noam Slonim |
| 2021 | ACL | Every Bite Is an Experience: Key Point Analysis of Business Reviews. | Roy Bar-Haim, Lilach Eden, Yoav Kantor, Roni Friedman, Noam Slonim |
| 2021 | EMNLP | Project Debater APIs: Decomposing the AI Grand Challenge. | Roy Bar-Haim, Yoav Kantor, Elad Venezian, Yoav Katz, Noam Slonim |
| 2021 | EMNLP | YASO: A Targeted Sentiment Analysis Evaluation Dataset for Open-Domain Reviews. | Matan Orbach, Orith Toledo-Ronen, Artem Spector, Ranit Aharonov, Yoav Katz, Noam Slonim |
| 2020 | AAAI | 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, Yonatan Bilu, Ranit Aharonov, Noam Slonim |
| 2020 | AAAI | 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 |
| 2020 | ACL | From Arguments to Key Points: Towards Automatic Argument Summarization. | Roy Bar-Haim, Lilach Eden, Roni Friedman, Yoav Kantor, Dan Lahav, Noam Slonim |
| 2020 | ACL | Out of the Echo Chamber: Detecting Countering Debate Speeches. | Matan Orbach, Yonatan Bilu, Assaf Toledo, Dan Lahav, Michal Jacovi, Ranit Aharonov, Noam Slonim |
| 2020 | EMNLP | Quantitative argument summarization and beyond: Cross-domain key point analysis. | Roy Bar-Haim, Yoav Kantor, Lilach Eden, Roni Friedman, Dan Lahav, Noam Slonim |
| 2020 | EMNLP | 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 |
| 2020 | EMNLP | 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 |
| 2020 | EMNLP | Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains. | Eyal Shnarch, Leshem Choshen, Guy Moshkowich, Ranit Aharonov, Noam Slonim |
| 2020 | EMNLP | Multilingual Argument Mining: Datasets and Analysis. | Orith Toledo-Ronen, Matan Orbach, Yonatan Bilu, Artem Spector, Noam Slonim |
| 2019 | ACL | 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 |
| 2019 | ACL | Argument Invention from First Principles. | Yonatan Bilu, Ariel Gera, Daniel Hershcovich, Benjamin Sznajder, Dan Lahav, Guy Moshkowich, Anael Malet, Assaf Gavron, Noam Slonim |
| 2019 | ACL | 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 |
| 2019 | EMNLP | 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 |
| 2019 | EMNLP | 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 |
| 2018 | ACL | 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 |
| 2018 | ACL | 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, Leshem Choshen, Ranit Aharonov, Noam Slonim |
| 2018 | COLING | Towards an argumentative content search engine using weak supervision. | Ran Levy, Ben Bogin, Shai Gretz, Ranit Aharonov, Noam Slonim |
| 2018 | COLING | Learning Sentiment Composition from Sentiment Lexicons. | Orith Toledo-Ronen, Roy Bar-Haim, Alon Halfon, Charles Jochim, Amir Menczel, Ranit Aharonov, Noam Slonim |
| 2018 | COMMA | Project Debater. | Noam Slonim |
| 2018 | EMNLP | 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 |
| 2018 | EMNLP | Learning Concept Abstractness Using Weak Supervision. | Ella Rabinovich, Benjamin Sznajder, Artem Spector, Ilya Shnayderman, Ranit Aharonov, David Konopnicki, Noam Slonim |
| 2018 | LREC | Semantic Relatedness of Wikipedia Concepts - Benchmark Data and a Working Solution. | Liat Ein-Dor, Alon Halfon, Yoav Kantor, Ran Levy, Yosi Mass, Ruty Rinott, Eyal Shnarch, Noam Slonim |
| 2018 | LREC | SLIDE - a Sentiment Lexicon of Common Idioms. | Charles Jochim, Francesca Bonin, Roy Bar-Haim, Noam Slonim |
| 2018 | LREC | A Recorded Debating Dataset. | Shachar Mirkin, Michal Jacovi, Tamar Lavee, Hong-Kwang Kuo, Samuel Thomas, Leslie Sager, Lili Kotlerman, Elad Venezian, Noam Slonim |
| 2017 | EACL | Stance Classification of Context-Dependent Claims. | Roy Bar-Haim, Indrajit Bhattacharya, Francesco Dinuzzo, Amrita Saha, Noam Slonim |
| 2017 | EMNLP | GRASP: Rich Patterns for Argumentation Mining. | Eyal Shnarch, Ran Levy, Vikas C. Raykar, Noam Slonim |
| 2016 | ACL | Claim Synthesis via Predicate Recycling. | Yonatan Bilu, Noam Slonim |
| 2016 | ACL | Expert Stance Graphs for Computational Argumentation. | Orith Toledo-Ronen, Roy Bar-Haim, Noam Slonim |
| 2016 | WWW | On the Retrieval of Wikipedia Articles Containing Claims on Controversial Topics. | Haggai Roitman, Shay Hummel, Ella Rabinovich, Benjamin Sznajder, Noam Slonim, Ehud Aharoni |
| 2015 | ACL | TR9856: A Multi-word Term Relatedness Benchmark. | Ran Levy, Liat Ein-Dor, Shay Hummel, Ruty Rinott, Noam Slonim |
| 2015 | EMNLP | 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 |
| 2015 | NAACL | Automatic Claim Negation: Why, How and When. | Yonatan Bilu, Daniel Hershcovich, Noam Slonim |
| 2014 | ACL | 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, Ruty Rinott, Dan Gutfreund, Noam Slonim |
| 2014 | COLING | Context Dependent Claim Detection. | Ran Levy, Yonatan Bilu, Daniel Hershcovich, Ehud Aharoni, Noam Slonim |
| 2014 | COLING | 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, Paul Matchen, Anatoly Polnarov, Vikas C. Raykar, Ruty Rinott, Amrita Saha, Naama Zwerdling, David Konopnicki, Dan Gutfreund |
| 2013 | IJCAI | Hartigan's K-Means Versus Lloyd's K-Means - Is It Time for a Change? | Noam Slonim, Ehud Aharoni, Koby Crammer |
| 2011 | IJCAI | Active Online Classification via Information Maximization. | Noam Slonim, Elad Yom-Tov, Koby Crammer |
| 2010 | SDM | Predicting Customer Churn in Mobile Networks through Analysis of Social Groups. | Yossi Richter, Elad Yom-Tov, Noam Slonim |
| 2009 | SDM | Parallel Pairwise Clustering. | Elad Yom-Tov, Noam Slonim |
| 2002 | ICML | Discriminative Feature Selection via Multiclass Variable Memory Markov Model. | Noam Slonim, Gill Bejerano, Shai Fine, Naftali Tishby |
| 2002 | SIGIR | Unsupervised document classification using sequential information maximization. | Noam Slonim, Nir Friedman, Naftali Tishby |
| 2001 | UAI | Multivariate Information Bottleneck. | Nir Friedman, Ori Mosenzon, Noam Slonim, Naftali Tishby |
| 2000 | SIGIR | Document clustering using word clusters via the information bottleneck method. | Noam Slonim, Naftali Tishby |