Michal Shmueli-Scheuer

71 papers A* 7A 5B 1Misc 1Journal 25Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	CLEAR: Error Analysis via LLM-as-a-Judge Made Easy. AAAI Asaf Yehudai, Lilach Eden, Yotam Perlitz, Roy Bar-Haim, Michal Shmueli-Scheuer
2026	J	`jnl`	CUBE: A Standard for Unifying Agent Benchmarks. CoRR Alexandre Lacoste, Nicolas Gontier, Oleh Shliazhko, Aman Jaiswal, Kusha Sareen, Shailesh Nanisetty, Joan Cabezas, Manuel Del Verme, Omar G. Younis, Simone Baratta, Matteo Avalle, Imene Kerboua, Xing Han Lù, Elron Bandel, Michal Shmueli-Scheuer, Asaf Yehudai, Leshem Choshen, Jonathan Lebensold, Sean Hughes, Massimo Caccia, Alexandre Drouin, Siva Reddy, Tao Yu, Yu Su, Graham Neubig, Dawn Song
2026	J	`jnl`	ErrorMap and ErrorAtlas: Charting the Failure Landscape of Large Language Models. CoRR Shir Ashury-Tahan, Yifan Mai, Elron Bandel, Michal Shmueli-Scheuer, Leshem Choshen
2026	J	`jnl`	General Agent Evaluation. CoRR Elron Bandel, Asaf Yehudai, Lilach Eden, Yehoshua Sagron, Yotam Perlitz, Elad Venezian, Natalia Razinkov, Natan Ergas, Shlomit Shachor Ifergan, Segev Shlomov, Michal Jacovi, Leshem Choshen, Liat Ein-Dor, Yoav Katz, Michal Shmueli-Scheuer
2026	J	`jnl`	Robustness as an Emergent Property of Task Performance. CoRR Shir Ashury-Tahan, Ariel Gera, Elron Bandel, Michal Shmueli-Scheuer, Leshem Choshen
2025	J	`jnl`	CLEAR: Error Analysis via LLM-as-a-Judge Made Easy. CoRR Asaf Yehudai, Lilach Eden, Yotam Perlitz, Roy Bar-Haim, Michal Shmueli-Scheuer
2025	—	`conf`	DOVE: A Large-Scale Multi-Dimensional Predictions Dataset Towards Meaningful LLM Evaluation. ACL (Findings) Eliya Habba, Ofir Arviv, Itay Itzhak, Yotam Perlitz, Elron Bandel, Leshem Choshen, Michal Shmueli-Scheuer, Gabriel Stanovsky
2025	J	`jnl`	DOVE: A Large-Scale Multi-Dimensional Predictions Dataset Towards Meaningful LLM Evaluation. CoRR Eliya Habba, Ofir Arviv, Itay Itzhak, Yotam Perlitz, Elron Bandel, Leshem Choshen, Michal Shmueli-Scheuer, Gabriel Stanovsky
2025	J	`jnl`	Survey on Evaluation of LLM-based Agents. CoRR Asaf Yehudai, Lilach Eden, Alan Li, Guy Uziel, Yilun Zhao, Roy Bar-Haim, Arman Cohan, Michal Shmueli-Scheuer
2025	J	`jnl`	The Mighty ToRR: A Benchmark for Table Reasoning and Robustness. CoRR Shir Ashury-Tahan, Yifan Mai, Rajmohan C, Ariel Gera, Yotam Perlitz, Asaf Yehudai, Elron Bandel, Leshem Choshen, Eyal Shnarch, Percy Liang, Michal Shmueli-Scheuer
2025	—	`conf`	Think Again! The Effect of Test-Time Compute on Preferences, Opinions, and Beliefs of Large Language Models. ACL (6) George Kour, Itay Nakash, Michal Shmueli-Scheuer, Ateret Anaby-Tavor
2025	J	`jnl`	Think Again! The Effect of Test-Time Compute on Preferences, Opinions, and Beliefs of Large Language Models. CoRR George Kour, Itay Nakash, Ateret Anaby-Tavor, Michal Shmueli-Scheuer
2024	J	`jnl`	Benchmark Agreement Testing Done Right: A Guide for LLM Benchmark Evaluation. CoRR Yotam Perlitz, Ariel Gera, Ofir Arviv, Asaf Yehudai, Elron Bandel, Eyal Shnarch, Michal Shmueli-Scheuer, Leshem Choshen
2024	—	`conf`	Efficient Benchmarking (of Language Models). NAACL-HLT Yotam Perlitz, Elron Bandel, Ariel Gera, Ofir Arviv, Liat Ein-Dor, Eyal Shnarch, Noam Slonim, Michal Shmueli-Scheuer, Leshem Choshen
2024	J	`jnl`	Stay Tuned: An Empirical Study of the Impact of Hyperparameters on LLM Tuning in Real-World Applications. CoRR Alon Halfon, Shai Gretz, Ofir Arviv, Artem Spector, Orith Toledo-Ronen, Yoav Katz, Liat Ein-Dor, Michal Shmueli-Scheuer, Noam Slonim
2024	—	`conf`	Unitxt: Flexible, Shareable and Reusable Data Preparation and Evaluation for Generative AI. NAACL (Demonstrations) Elron Bandel, Yotam Perlitz, Elad Venezian, Roni Friedman, Ofir Arviv, Matan Orbach, Shachar Don-Yehiya, Dafna Sheinwald, Ariel Gera, Leshem Choshen, Michal Shmueli-Scheuer, Yoav Katz
2024	J	`jnl`	Unitxt: Flexible, Shareable and Reusable Data Preparation and Evaluation for Generative AI. CoRR Elron Bandel, Yotam Perlitz, Elad Venezian, Roni Friedman-Melamed, Ofir Arviv, Matan Orbach, Shachar Don-Yehiya, Dafna Sheinwald, Ariel Gera, Leshem Choshen, Michal Shmueli-Scheuer, Yoav Katz
2023	A*	`conf`	Active Learning for Natural Language Generation. EMNLP Yotam Perlitz, Ariel Gera, Michal Shmueli-Scheuer, Dafna Sheinwald, Noam Slonim, Liat Ein-Dor
2023	J	`jnl`	Active Learning for Natural Language Generation. CoRR Yotam Perlitz, Ariel Gera, Michal Shmueli-Scheuer, Dafna Sheinwald, Noam Slonim, Liat Ein-Dor
2023	J	`jnl`	Efficient Benchmarking (of Language Models). CoRR Yotam Perlitz, Elron Bandel, Ariel Gera, Ofir Arviv, Liat Ein-Dor, Eyal Shnarch, Noam Slonim, Michal Shmueli-Scheuer, Leshem Choshen
2023	—	`conf`	Tell Me More? Can AI Enhance User Experience for List Answers? IUI Companion Odellia Boni, Sara Rosenthal, Ora Peled Nakash, Michal Shmueli-Scheuer
2023	A*	`conf`	nBIIG: A Neural BI Insights Generation System for Table Reporting. AAAI Yotam Perlitz, Dafna Sheinwald, Noam Slonim, Michal Shmueli-Scheuer
2022	J	`jnl`	Diversity Enhanced Table-to-Text Generation via Type Control. CoRR Yotam Perlitz, Liat Ein-Dor, Dafna Sheinwald, Noam Slonim, Michal Shmueli-Scheuer
2022	—	`conf`	Overview of the First Shared Task on Multi Perspective Scientific Document Summarization (MuP). SDP@COLING Arman Cohan, Guy Feigenblat, Tirthankar Ghosal, Michal Shmueli-Scheuer
2022	—	`conf`	Overview of the Third Workshop on Scholarly Document Processing. SDP@COLING Arman Cohan, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Drahomira Herrmannova, Petr Knoth, Kyle Lo, Philipp Mayr, Michal Shmueli-Scheuer, Anita de Waard, Lucy Lu Wang
2022	—	`ed.`	Proceedings of the Third Workshop on Scholarly Document Processing, SDP@COLING 2022, Gyeongju, Republic of Korea, October 12 - 17, 2022 SDP@COLING Arman Cohan, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Drahomira Herrmannova, Petr Knoth, Kyle Lo, Philipp Mayr, Michal Shmueli-Scheuer, Anita de Waard, Lucy Lu Wang
2022	—	`conf`	Quality Controlled Paraphrase Generation. ACL (1) Elron Bandel, Ranit Aharonov, Michal Shmueli-Scheuer, Ilya Shnayderman, Noam Slonim, Liat Ein-Dor
2022	J	`jnl`	Quality Controlled Paraphrase Generation. CoRR Elron Bandel, Ranit Aharonov, Michal Shmueli-Scheuer, Ilya Shnayderman, Noam Slonim, Liat Ein-Dor
2022	J	`jnl`	nBIIG: A Neural BI Insights Generation System for Table Reporting. CoRR Yotam Perlitz, Dafna Sheinwald, Noam Slonim, Michal Shmueli-Scheuer
2021	J	`jnl`	HowSumm: A Multi-Document Summarization Dataset Derived from WikiHow Articles. CoRR Odellia Boni, Guy Feigenblat, Guy Lev, Michal Shmueli-Scheuer, Benjamin Sznajder, David Konopnicki
2021	—	`ed.`	Joint Proceedings of the Workshops on Human-AI Co-Creation with Generative Models and User-Aware Conversational Agents co-located with 25th International Conference on Intelligent User Interfaces (IUI 2020), Cagliari, Italy, March 17, 2020. HAI-GEN+user2agent@IUI Werner Geyer, Yasaman Khazaeni, Michal Shmueli-Scheuer
2020	—	`conf`	Overview and Insights from the Shared Tasks at Scholarly Document Processing 2020: CL-SciSumm, LaySumm and LongSumm. SDP@EMNLP Muthu Kumar Chandrasekaran, Guy Feigenblat, Eduard H. Hovy, Abhilasha Ravichander, Michal Shmueli-Scheuer, Anita de Waard
2020	—	`conf`	Overview of the First Workshop on Scholarly Document Processing (SDP). SDP@EMNLP Muthu Kumar Chandrasekaran, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Eduard H. Hovy, Philipp Mayr, Michal Shmueli-Scheuer, Anita de Waard
2020	—	`ed.`	Proceedings of the First Workshop on Scholarly Document Processing, SDP@EMNLP 2020, Online, November 19, 2020 SDP@EMNLP Muthu Kumar Chandrasekaran, Anita de Waard, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Eduard H. Hovy, Petr Knoth, David Konopnicki, Philipp Mayr, Robert M. Patton, Michal Shmueli-Scheuer
2020	J	`jnl`	orgFAQ: A New Dataset and Analysis on Organizational FAQs and User Questions. CoRR Guy Lev, Michal Shmueli-Scheuer, Achiya Jerbi, David Konopnicki
2020	—	`conf`	user2agent: 2nd Workshop on User-Aware Conversational Agents. IUI Companion Michal Shmueli-Scheuer, Ron Artstein, Yasaman Khazaeni, Hao Fang, Q. Vera Liao
2019	—	`conf`	A Summarization System for Scientific Documents. EMNLP/IJCNLP (3) Shai Erera, Michal Shmueli-Scheuer, Guy Feigenblat, Ora Peled Nakash, Odellia Boni, Haggai Roitman, Doron Cohen, Bar Weiner, Yosi Mass, Or Rivlin, Guy Lev, Achiya Jerbi, Jonathan Herzig, Yufang Hou, Charles Jochim, Martin Gleize, Francesca Bonin, David Konopnicki
2019	J	`jnl`	A Summarization System for Scientific Documents. CoRR Shai Erera, Michal Shmueli-Scheuer, Guy Feigenblat, Ora Peled Nakash, Odellia Boni, Haggai Roitman, Doron Cohen, Bar Weiner, Yosi Mass, Or Rivlin, Guy Lev, Achiya Jerbi, Jonathan Herzig, Yufang Hou, Charles Jochim, Martin Gleize, Francesca Bonin, David Konopnicki
2019	—	`conf`	Bot2Vec: Learning Representations of Chatbots. *SEM@NAACL-HLT Jonathan Herzig, Tommy Sandbank, Michal Shmueli-Scheuer, David Konopnicki
2019	A	`conf`	Detecting Persuasive Arguments based on Author-Reader Personality Traits and their Interaction. UMAP Michal Shmueli-Scheuer, Jonathan Herzig, David Konopnicki, Tommy Sandbank
2019	—	`conf`	TalkSumm: A Dataset and Scalable Annotation Method for Scientific Paper Summarization Based on Conference Talks. ACL (1) Guy Lev, Michal Shmueli-Scheuer, Jonathan Herzig, Achiya Jerbi, David Konopnicki
2019	J	`jnl`	TalkSumm: A Dataset and Scalable Annotation Method for Scientific Paper Summarization Based on Conference Talks. CoRR Guy Lev, Michal Shmueli-Scheuer, Jonathan Herzig, Achiya Jerbi, David Konopnicki
2019	—	`conf`	User-aware conversational agents. IUI Companion Q. Vera Liao, Michal Shmueli-Scheuer, Tsung-Hsien (Shawn) Wen, Zhou Yu
2018	—	`conf`	Detecting Egregious Conversations between Customers and Virtual Agents. NAACL-HLT Tommy Sandbank, Michal Shmueli-Scheuer, Jonathan Herzig, David Konopnicki, John T. Richards, David Piorkowski
2018	—	`conf`	Exploring the Universe of Egregious Conversations in Chatbots. IUI Companion Michal Shmueli-Scheuer, Tommy Sandbank, David Konopnicki, Ora Peled Nakash
2018	—	`conf`	On the Expression of Agent Emotions in Customer Support Dialogs in Social Media. IUI Companion Michal Shmueli-Scheuer, Jonathan Herzig, Tommy Sandbank, David Konopnicki
2017	J	`jnl`	Detecting Egregious Conversations between Customers and Virtual Agents. CoRR Tommy Sandbank, Michal Shmueli-Scheuer, David Konopnicki, Jonathan Herzig, John T. Richards, David Piorkowski
2017	—	`conf`	EHCTool: Managing Emotional Hotspots for Conversational Agents. IUI Companion Tommy Sandbank, Michal Shmueli-Scheuer, Jonathan Herzig, David Konopnicki, Rottem Shaul
2017	Misc	`conf`	Emotion Detection from Text via Ensemble Classification Using Word Embeddings. ICTIR Jonathan Herzig, Michal Shmueli-Scheuer, David Konopnicki
2017	B	`conf`	Neural Response Generation for Customer Service based on Personality Traits. INLG Jonathan Herzig, Michal Shmueli-Scheuer, Tommy Sandbank, David Konopnicki
2016	—	`conf`	Classifying Emotions in Customer Support Dialogues in Social Media. SIGDIAL Conference Jonathan Herzig, Guy Feigenblat, Michal Shmueli-Scheuer, David Konopnicki, Anat Rafaeli, Daniel Altman, David Spivak
2016	—	`conf`	I Understand Your Frustration. CSCW Companion Guy Feigenblat, David Konopnicki, Michal Shmueli-Scheuer, Jonathan Herzig, Hen Shkedi
2016	A	`conf`	Predicting Customer Satisfaction in Customer Support Conversations in Social Media Using Affective Features. UMAP Jonathan Herzig, Guy Feigenblat, Michal Shmueli-Scheuer, David Konopnicki, Anat Rafaeli
2014	A*	`conf`	A fusion approach to cluster labeling. SIGIR Haggai Roitman, Shay Hummel, Michal Shmueli-Scheuer
2014	—	`ch.`	Customer Analyst for the Telecom Industry. Large-Scale Data Analytics David Konopnicki, Michal Shmueli-Scheuer
2014	—	`conf`	Harnessing the crowds for multi-channel marketing monitoring. ICDE Workshops Haggai Roitman, Gilad Barkai, David Konopnicki, Michal Shmueli-Scheuer
2014	—	`conf`	Mindful: A Platform for Large-Scale Affective Field Research. ImmersiveMe@MM Guy Feigenblat, Jonathan Herzig, Michal Shmueli-Scheuer, David Konopnicki
2014	J	`jnl`	SoLoMo analytics for telco Big Data monetization. IBM J. Res. Dev. H. Cao, Weishan Dong, Leslie S. Liu, Chunyang Ma, Weihong Qian, J. W. Shi, Chunhua Tian, Yu Wang, David Konopnicki, Michal Shmueli-Scheuer, Doron Cohen, Natwar Modani, Hemank Lamba, A. Dwivedi, Amit Anil Nanavati, Mohit Kumar
2013	J	`jnl`	A statistical approach to mining customers' conversational data from social media. IBM J. Res. Dev. David Konopnicki, Michal Shmueli-Scheuer, Doron Cohen, Benjamin Sznajder, Jonathan Herzig, Ariel Raviv, N. Zwerling, Haggai Roitman, Yosi Mass
2012	—	`conf`	Surfacing time-critical insights from social media. SIGMOD Conference Bogdan Alexe, Mauricio A. Hernández, Kirsten Hildrum, Rajasekar Krishnamurthy, Georgia Koutrika, Meenakshi Nagarajan, Haggai Roitman, Michal Shmueli-Scheuer, Ioana Roxana Stanoi, Chitra Venkatramani, Rohit Wagle
2011	A	`conf`	KMV-peer: a robust and adaptive peer-selection algorithm. WSDM Yosi Mass, Yehoshua Sagiv, Michal Shmueli-Scheuer
2010	A	`conf`	A peer-selection algorithm for information retrieval. CIKM Yosi Mass, Yehoshua Sagiv, Michal Shmueli-Scheuer
2010	—	`conf`	Extracting user profiles from large scale data. MDAC@WWW Michal Shmueli-Scheuer, Haggai Roitman, David Carmel, Yosi Mass, David Konopnicki
2009	A	`conf`	A scalable and effective full-text search in P2P networks. CIKM Yosi Mass, Yehoshua Sagiv, Michal Shmueli-Scheuer
2009	A*	`conf`	A unified inverted index for an efficient image and text retrieval. SIGIR Jonathan Mamou, Yosi Mass, Michal Shmueli-Scheuer, Benjamin Sznajder
2009	A*	`conf`	Best-Effort Top-k Query Processing Under Budgetary Constraints. ICDE Michal Shmueli-Scheuer, Chen Li, Yosi Mass, Haggai Roitman, Ralf Schenkel, Gerhard Weikum
2009	—	`conf`	Searching 100M Images by Content Similarity. IRCDL Paolo Bolettieri, Fabrizio Falchi, Claudio Lucchese, Yosi Mass, Raffaele Perego, Fausto Rabitti, Michal Shmueli-Scheuer
2008	A*	`conf`	Quality-Aware Retrieval of Data Objects from Autonomous Sources for Web-Based Repositories. ICDE Houtan Shirani-Mehr, Chen Li, Gang Liang, Michal Shmueli-Scheuer
2007	—	`conf`	Communication-Efficient Query Answering with Quality Guarantees in Client-Server Applications. WebDB Michal Shmueli-Scheuer, Amitabh Chaudhary, Avigdor Gal, Chen Li
2006	J	`jnl`	Achieving Communication Efficiency through Push-Pull Partitioning of Semantic Spaces to Disseminate Dynamic Information. IEEE Trans. Knowl. Data Eng. Amitabha Bagchi, Amitabh Chaudhary, Michael T. Goodrich, Chen Li, Michal Shmueli-Scheuer
2005	—	`conf`	Quality-driven approximate methods for integrating GIS data. GIS Ramaswamy Hariharan, Michal Shmueli-Scheuer, Chen Li, Sharad Mehrotra