Parallel Implementation of Composite Events. - Michal Shmueli; Opher Etzion (ICDCS Workshops, 2002)

Quality-driven approximate methods for integrating GIS data. - Ramaswamy Hariharan; Michal Shmueli-Scheuer; Chen Li 001; Sharad Mehrotra (GIS, 2005)

Achieving Communication Efficiency through Push-Pull Partitioning of Semantic Spaces to Disseminate Dynamic Information. - Amitabha Bagchi; Amitabh Chaudhary; Michael T. Goodrich; Chen Li 001; Michal Shmueli-Scheuer (IEEE Trans. Knowl. Data Eng., 2006)

Communication-Efficient Query Answering with Quality Guarantees in Client-Server Applications. - Michal Shmueli-Scheuer; Amitabh Chaudhary; Avigdor Gal; Chen Li 001 (WebDB, 2007)

Quality-Aware Retrieval of Data Objects from Autonomous Sources for Web-Based Repositories. - Houtan Shirani-Mehr; Chen Li 001; Gang Liang; Michal Shmueli-Scheuer (ICDE, 2008)

A scalable and effective full-text search in P2P networks. - Yosi Mass; Yehoshua Sagiv; Michal Shmueli-Scheuer (CIKM, 2009)

Best-Effort Top-k Query Processing Under Budgetary Constraints. - Michal Shmueli-Scheuer; Chen Li 001; Yosi Mass; Haggai Roitman; Ralf Schenkel; Gerhard Weikum (ICDE, 2009)

Searching 100M Images by Content Similarity. - Paolo Bolettieri; Fabrizio Falchi; Claudio Lucchese; Yosi Mass; Raffaele Perego 001; Fausto Rabitti; Michal Shmueli-Scheuer (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 peer-selection algorithm for information retrieval. - Yosi Mass; Yehoshua Sagiv; Michal Shmueli-Scheuer (CIKM, 2010)

Extracting user profiles from large scale data. - Michal Shmueli-Scheuer; Haggai Roitman; David Carmel; Yosi Mass; David Konopnicki (MDAC@WWW, 2010)

KMV-peer: a robust and adaptive peer-selection algorithm. - Yosi Mass; Yehoshua Sagiv; Michal Shmueli-Scheuer (WSDM, 2011)

Surfacing time-critical insights from social media. - 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 (SIGMOD Conference, 2012)

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)

Customer Analyst for the Telecom Industry. - David Konopnicki; Michal Shmueli-Scheuer (Large-Scale Data Analytics, 2014)

Harnessing the crowds for multi-channel marketing monitoring. - Haggai Roitman; Gilad Barkai; David Konopnicki; Michal Shmueli-Scheuer (ICDE Workshops, 2014)

Mindful: A Platform for Large-Scale Affective Field Research. - Guy Feigenblat; Jonathan Herzig; Michal Shmueli-Scheuer; David Konopnicki (ImmersiveMe@MM, 2014)

A fusion approach to cluster labeling. - Haggai Roitman; Shay Hummel; Michal Shmueli-Scheuer (SIGIR, 2014)

SoLoMo analytics for telco Big Data monetization. - H. Cao; Weishan Dong; Leslie S. Liu 002; Chunyang Ma; Weihong Qian; J. W. Shi; Chunhua Tian; Yu Wang 021; David Konopnicki; Michal Shmueli-Scheuer; Doron Cohen 001; Natwar Modani; et al. (IBM J. Res. Dev., 2014)

I Understand Your Frustration. - Guy Feigenblat; David Konopnicki; Michal Shmueli-Scheuer; Jonathan Herzig; Hen Shkedi (CSCW Companion, 2016)

Classifying Emotions in Customer Support Dialogues in Social Media. - Jonathan Herzig; Guy Feigenblat; Michal Shmueli-Scheuer; David Konopnicki; Anat Rafaeli; Daniel Altman; David Spivak (SIGDIAL Conference, 2016)

Predicting Customer Satisfaction in Customer Support Conversations in Social Media Using Affective Features. - Jonathan Herzig; Guy Feigenblat; Michal Shmueli-Scheuer; David Konopnicki; Anat Rafaeli (UMAP, 2016)

Emotion Detection from Text via Ensemble Classification Using Word Embeddings. - Jonathan Herzig; Michal Shmueli-Scheuer; David Konopnicki (ICTIR, 2017)

Neural Response Generation for Customer Service based on Personality Traits. - Jonathan Herzig; Michal Shmueli-Scheuer; Tommy Sandbank; David Konopnicki (INLG, 2017)

EHCTool: Managing Emotional Hotspots for Conversational Agents. - Tommy Sandbank; Michal Shmueli-Scheuer; Jonathan Herzig; David Konopnicki; Rottem Shaul (IUI Companion, 2017)

Exploring the Universe of Egregious Conversations in Chatbots. - Michal Shmueli-Scheuer; Tommy Sandbank; David Konopnicki; Ora Peled Nakash (IUI Companion, 2018)

On the Expression of Agent Emotions in Customer Support Dialogs in Social Media. - Michal Shmueli-Scheuer; Jonathan Herzig; Tommy Sandbank; David Konopnicki (IUI Companion, 2018)

Detecting Egregious Conversations between Customers and Virtual Agents. - Tommy Sandbank; Michal Shmueli-Scheuer; Jonathan Herzig; David Konopnicki; John T. Richards; David Piorkowski (NAACL-HLT, 2018)

TalkSumm: A Dataset and Scalable Annotation Method for Scientific Paper Summarization Based on Conference Talks. - Guy Lev; Michal Shmueli-Scheuer; Jonathan Herzig; Achiya Jerbi; David Konopnicki (ACL (1), 2019)

A Summarization System for Scientific Documents. - Shai Erera; Michal Shmueli-Scheuer; Guy Feigenblat; Ora Peled Nakash; Odellia Boni; Haggai Roitman; Doron Cohen 001; Bar Weiner; Yosi Mass; Or Rivlin; Guy Lev; Achiya Jerbi; et al. (EMNLP/IJCNLP (3), 2019)

User-aware conversational agents. - Q. Vera Liao; Michal Shmueli-Scheuer; Tsung-Hsien (Shawn) Wen; Zhou Yu 005 (IUI Companion, 2019)

Bot2Vec: Learning Representations of Chatbots. - Jonathan Herzig; Tommy Sandbank; Michal Shmueli-Scheuer; David Konopnicki (*SEM@NAACL-HLT, 2019)

Detecting Persuasive Arguments based on Author-Reader Personality Traits and their Interaction. - Michal Shmueli-Scheuer; Jonathan Herzig; David Konopnicki; Tommy Sandbank (UMAP, 2019)

Overview of the First Workshop on Scholarly Document Processing (SDP). - Muthu Kumar Chandrasekaran; Guy Feigenblat; Dayne Freitag; Tirthankar Ghosal; Eduard H. Hovy; Philipp Mayr 001; Michal Shmueli-Scheuer; Anita de Waard (SDP@EMNLP, 2020)

Overview and Insights from the Shared Tasks at Scholarly Document Processing 2020: CL-SciSumm, LaySumm and LongSumm. - Muthu Kumar Chandrasekaran; Guy Feigenblat; Eduard H. Hovy; Abhilasha Ravichander; Michal Shmueli-Scheuer; Anita de Waard (SDP@EMNLP, 2020)

user2agent: 2nd Workshop on User-Aware Conversational Agents. - Michal Shmueli-Scheuer; Ron Artstein; Yasaman Khazaeni; Hao Fang; Q. Vera Liao (IUI Companion, 2020)

orgFAQ: A New Dataset and Analysis on Organizational FAQs and User Questions. - Guy Lev; Michal Shmueli-Scheuer; Achiya Jerbi; David Konopnicki (CoRR, 2020)

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)

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

Overview of the Third Workshop on Scholarly Document Processing. - Arman Cohan; Guy Feigenblat; Dayne Freitag; Tirthankar Ghosal; Drahomira Herrmannova; Petr Knoth; Kyle Lo; Philipp Mayr 001; Michal Shmueli-Scheuer; Anita de Waard; Lucy Lu Wang (SDP@COLING, 2022)

Overview of the First Shared Task on Multi Perspective Scientific Document Summarization (MuP). - Arman Cohan; Guy Feigenblat; Tirthankar Ghosal; Michal Shmueli-Scheuer (SDP@COLING, 2022)

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

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

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

Tell Me More? Can AI Enhance User Experience for List Answers? - Odellia Boni; Sara Rosenthal; Ora Peled Nakash; Michal Shmueli-Scheuer (IUI Companion, 2023)

Unitxt: Flexible, Shareable and Reusable Data Preparation and Evaluation for Generative AI. - 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 (NAACL (Demonstrations), 2024)

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)

Benchmark Agreement Testing Done Right: A Guide for LLM Benchmark Evaluation. - Yotam Perlitz; Ariel Gera; Ofir Arviv; Asaf Yehudai; Elron Bandel; Eyal Shnarch; Michal Shmueli-Scheuer; Leshem Choshen (CoRR, 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)

DOVE: A Large-Scale Multi-Dimensional Predictions Dataset Towards Meaningful LLM Evaluation. - Eliya Habba; Ofir Arviv; Itay Itzhak; Yotam Perlitz; Elron Bandel; Leshem Choshen; Michal Shmueli-Scheuer; Gabriel Stanovsky (ACL (Findings), 2025)

The Mighty ToRR: A Benchmark for Table Reasoning and Robustness. - Shir Ashury-Tahan; Yifan Mai 001; Rajmohan C; Ariel Gera; Yotam Perlitz; Asaf Yehudai; Elron Bandel; Leshem Choshen; Eyal Shnarch; Percy Liang; Michal Shmueli-Scheuer (CoRR, 2025)

Survey on Evaluation of LLM-based Agents. - Asaf Yehudai; Lilach Eden; Alan Li; Guy Uziel; Yilun Zhao 001; Roy Bar-Haim; Arman Cohan; Michal Shmueli-Scheuer (CoRR, 2025)

Think Again! The Effect of Test-Time Compute on Preferences, Opinions, and Beliefs of Large Language Models. - George Kour; Itay Nakash; Ateret Anaby-Tavor; Michal Shmueli-Scheuer (CoRR, 2025)

CLEAR: Error Analysis via LLM-as-a-Judge Made Easy. - Asaf Yehudai; Lilach Eden; Yotam Perlitz; Roy Bar-Haim; Michal Shmueli-Scheuer (CoRR, 2025)