Learning Partially Observable Action Schemas. - Dafna Shahaf; Eyal Amir (AAAI, 2006)

Learning Partially Observable Action Models: Efficient Algorithms. - Dafna Shahaf; Allen Chang; Eyal Amir (AAAI, 2006)

Towards a Theory of AI Completeness. - Dafna Shahaf; Eyal Amir (AAAI Spring Symposium: Logical Formalizations of Commonsense Reasoning, 2007)

Logical Circuit Filtering. - Dafna Shahaf; Eyal Amir (IJCAI, 2007)

Investigations of Continual Computation. - Dafna Shahaf; Eric Horvitz (IJCAI, 2009)

Turning down the noise in the blogosphere. - Khalid El-Arini; Gaurav Veda; Dafna Shahaf; Carlos Guestrin (KDD, 2009)

Learning Thin Junction Trees via Graph Cuts. - Dafna Shahaf; Carlos Guestrin (AISTATS, 2009)

Generalized Task Markets for Human and Machine Computation. - Dafna Shahaf; Eric Horvitz (AAAI, 2010)

Connecting the dots between news articles. - Dafna Shahaf; Carlos Guestrin (KDD, 2010)

Metro maps of science. - Dafna Shahaf; Carlos Guestrin; Eric Horvitz (KDD, 2012)

Trains of thought: generating information maps. - Dafna Shahaf; Carlos Guestrin; Eric Horvitz (WWW, 2012)

Connecting Two (or Less) Dots: Discovering Structure in News Articles. - Dafna Shahaf; Carlos Guestrin (ACM Trans. Knowl. Discov. Data, 2012)

Automatic Generation of Issue Maps: Structured, Interactive Outputs for Complex Information Needs. - Dafna Shahaf (2012)

Information cartography: creating zoomable, large-scale maps of information. - Dafna Shahaf; Jaewon Yang; Caroline Suen; Jeff Jacobs; Heidi Wang; Jure Leskovec (KDD, 2013)

"Metro maps of information" by Dafna Shahaf, Carlos Guestrin and Eric Horvitz, with Ching-man Au Yeung as coordinator. - Dafna Shahaf; Carlos Guestrin; Eric Horvitz (SIGWEB Newsl., 2013)

Inside Jokes: Identifying Humorous Cartoon Captions. - Dafna Shahaf; Eric Horvitz; Robert Mankoff (KDD, 2015)

Information cartography. - Dafna Shahaf; Carlos Guestrin; Eric Horvitz; Jure Leskovec (Commun. ACM, 2015)

Scaling up Analogy with Crowdsourcing and Machine Learning. - Joel Chan; Tom Hope; Dafna Shahaf; Aniket Kittur (ICCBR Workshops, 2016)

A Hard Look at Soft Concepts. - Dafna Shahaf (IJCAI, 2016)

Ballpark Learning: Estimating Labels from Rough Group Comparisons. - Tom Hope; Dafna Shahaf (ECML/PKDD (2), 2016)

Learning to Route. - Asaf Valadarsky; Michael Schapira; Dafna Shahaf; Aviv Tamar (HotNets, 2017)

Accelerating Innovation Through Analogy Mining. - Tom Hope; Joel Chan; Aniket Kittur; Dafna Shahaf (KDD, 2017)

Fun Facts: Automatic Trivia Fact Extraction from Wikipedia. - David Tsurel; Dan Pelleg; Ido Guy; Dafna Shahaf (WSDM, 2017)

A Machine Learning Approach to Routing. - Asaf Valadarsky; Michael Schapira; Dafna Shahaf; Aviv Tamar (CoRR, 2017)

Analogy Mining for Specific Design Needs. - Karni Gilon; Joel Chan; Felicia Y. Ng; Hila Lifshitz-Assaf; Aniket Kittur; Dafna Shahaf (CHI, 2018)

Ballpark Crowdsourcing: The Wisdom of Rough Group Comparisons. - Tom Hope; Dafna Shahaf (WSDM, 2018)

Playing by the Book: Towards Agent-based Narrative Understanding through Role-playing and Simulation. - Ronen Tamari; Hiroyuki Shindo; Dafna Shahaf; Yuji Matsumoto 001 (CoRR, 2018)

SOLVENT: A Mixed Initiative System for Finding Analogies between Research Papers. - Joel Chan; Joseph Chee Chang; Tom Hope; Dafna Shahaf; Aniket Kittur (Proc. ACM Hum. Comput. Interact., 2018)

Tractable near-optimal policies for crawling. - Yossi Azar; Eric Horvitz; Eyal Lubetzky; Yuval Peres; Dafna Shahaf (Proc. Natl. Acad. Sci. USA, 2018)

Discovering Unexpected Local Nonlinear Interactions in Scientific Black-box Models. - Michael Doron; Idan Segev; Dafna Shahaf (KDD, 2019)

Scaling up analogical innovation with crowds and AI. - Aniket Kittur; Lixiu Yu; Tom Hope; Joel Chan; Hila Lifshitz-Assaf; Karni Gilon; Felicia Y. Ng; Robert E. Kraut; Dafna Shahaf (Proc. Natl. Acad. Sci. USA, 2019)

Addendum to the Special Issue on Interactive Data Exploration and Analytics (TKDD, Vol. 12 Iss. 1). - Matthijs van Leeuwen; Polo Chau; Jilles Vreeken; Dafna Shahaf; Christos Faloutsos (ACM Trans. Knowl. Discov. Data, 2019)

Language (Re)modelling: Towards Embodied Language Understanding. - Ronen Tamari; Chen Shani; Tom Hope; Miriam R. L. Petruck; Omri Abend; Dafna Shahaf (ACL, 2020)

E-Commerce Dispute Resolution Prediction. - David Tsurel; Michael Doron; Alexander Nus; Arnon Dagan; Ido Guy; Dafna Shahaf (CIKM, 2020)

Coming to Terms: Automatic Formation of Neologisms in Hebrew. - Moran Mizrahi 001; Stav Yardeni Seelig; Dafna Shahaf (EMNLP (Findings), 2020)

Ecological Semantics: Programming Environments for Situated Language Understanding. - Ronen Tamari; Gabriel Stanovsky; Dafna Shahaf; Reut Tsarfaty (CoRR, 2020)

How Did This Get Funded?! Automatically Identifying Quirky Scientific Achievements. - Chen Shani; Nadav Borenstein; Dafna Shahaf (ACL/IJCNLP (1), 2021)

Catchphrase: Automatic Detection of Cultural References. - Nir Sweed; Dafna Shahaf (ACL/IJCNLP (2), 2021)

50 Ways to Bake a Cookie: Mapping the Landscape of Procedural Texts. - Moran Mizrahi 001; Dafna Shahaf (CIKM, 2021)

Scaling Creative Inspiration with Fine-Grained Functional Facets of Product Ideas. - Tom Hope; Ronen Tamari; Hyeonsu B. Kang; Daniel Hershcovich; Joel Chan; Aniket Kittur; Dafna Shahaf (CoRR, 2021)

"Alexa, what do you do for fun?" Characterizing playful requests with virtual assistants. - Chen Shani; Alexander Libov; Sofia Tolmach; Liane Lewin-Eytan; Yoelle Maarek; Dafna Shahaf (CoRR, 2021)

Scaling Creative Inspiration with Fine-Grained Functional Aspects of Ideas. - Tom Hope; Ronen Tamari; Daniel Hershcovich; Hyeonsu B. Kang; Joel Chan; Aniket Kittur; Dafna Shahaf (CHI, 2022)

"Alexa, Do You Want to Build a Snowman?" Characterizing Playful Requests to Conversational Agents. - Chen Shani; Alexander Libov; Sofia Tolmach; Liane Lewin-Eytan; Yoelle Maarek; Dafna Shahaf (CHI Extended Abstracts, 2022)

Breakpoint Transformers for Modeling and Tracking Intermediate Beliefs. - Kyle Richardson 001; Ronen Tamari; Oren Sultan; Dafna Shahaf; Reut Tsarfaty; Ashish Sabharwal (EMNLP, 2022)

Cards Against AI: Predicting Humor in a Fill-in-the-blank Party Game. - Dan Ofer; Dafna Shahaf (EMNLP (Findings), 2022)

Life is a Circus and We are the Clowns: Automatically Finding Analogies between Situations and Processes. - Oren Sultan; Dafna Shahaf (EMNLP, 2022)

From Users to (Sense)Makers: On the Pivotal Role of Stigmergic Social Annotation in the Quest for Collective Sensemaking. - Ronen Tamari; Daniel Friedman; William Fischer 003; Lauren Hebert; Dafna Shahaf (HT, 2022)

Dyna-bAbI: unlocking bAbI's potential with dynamic synthetic benchmarking. - Ronen Tamari; Kyle Richardson 001; Noam Kahlon; Aviad Sar-Shalom; Nelson F. Liu; Reut Tsarfaty; Dafna Shahaf (*SEM@NAACL-HLT, 2022)

The Lean Data Scientist: Recent Advances towards Overcoming the Data Bottleneck. - Chen Shani; Jonathan Zarecki; Dafna Shahaf (CoRR, 2022)

Augmenting Scientific Creativity with an Analogical Search Engine. - Hyeonsu B. Kang; Xin Qian; Tom Hope; Dafna Shahaf; Joel Chan; Aniket Kittur (ACM Trans. Comput. Hum. Interact., 2022)

VASR: Visual Analogies of Situation Recognition. - Yonatan Bitton; Ron Yosef; Eliyahu Strugo; Dafna Shahaf; Roy Schwartz 001; Gabriel Stanovsky (AAAI, 2023)

FAME: Flexible, Scalable Analogy Mappings Engine. - Shahar Jacob; Chen Shani; Dafna Shahaf (EMNLP, 2023)

Towards Concept-Aware Large Language Models. - Chen Shani; Jilles Vreeken; Dafna Shahaf (EMNLP (Findings), 2023)

IRFL: Image Recognition of Figurative Language. - Ron Yosef; Yonatan Bitton; Dafna Shahaf (EMNLP (Findings), 2023)

Harnessing collective intelligence for the future of learning - a co-constructed research and development agenda. - Dusan Misevic; Ignacio Atal; Denis Bedard; Eric Cherel; José Escamilla; Linda Evans; Valerie Hannon; Caroline Huron; Olivier Irrmann; René F. Kizilcec; Emmanuel Lazega; Kerri Lemoie; et al. (Hum. Comput., 2023)

The Lean Data Scientist: Recent Advances Toward Overcoming the Data Bottleneck. - Chen Shani; Jonathan Zarecki; Dafna Shahaf (Commun. ACM, 2023)

The value of parental medical records for the prediction of diabetes and cardiovascular disease: a novel method for generating and incorporating family histories. - Yuval Barak-Corren; David Tsurel; Daphna Keidar; Ilan Gofer; Dafna Shahaf; Maya Leventer-Roberts; Noam Barda; Ben Y. Reis (J. Am. Medical Informatics Assoc., 2023)

Imitation of Life: A Search Engine for Biologically Inspired Design. - Hen Emuna; Nadav Borenstein; Xin Qian; Hyeonsu B. Kang; Joel Chan; Aniket Kittur; Dafna Shahaf (AAAI, 2024)

Visual Editing with LLM-based Tool Chaining: An Efficient Distillation Approach for Real-Time Applications. - Oren Sultan; Alexander Khasin; Guy Shiran; Asnat Greenstein-Messica; Dafna Shahaf (EMNLP (Industry Track), 2024)

ParallelPARC: A Scalable Pipeline for Generating Natural-Language Analogies. - Oren Sultan; Yonatan Bitton; Ron Yosef; Dafna Shahaf (NAACL-HLT, 2024)

Towards Translating Objective Product Attributes Into Customer Language. - Ram Yazdi; Oren Kalinsky; Alexander Libov; Dafna Shahaf (NAACL (Industry Track), 2024)

State of What Art? A Call for Multi-Prompt LLM Evaluation. - Moran Mizrahi 001; Guy Kaplan; Dan Malkin; Rotem Dror; Dafna Shahaf; Gabriel Stanovsky (Trans. Assoc. Comput. Linguistics, 2024)

Cooking Up Creativity: A Cognitively-Inspired Approach for Enhancing LLM Creativity through Structured Representations. - Moran Mizrahi 001; Chen Shani; Gabriel Stanovsky; Dan Jurafsky; Dafna Shahaf (CoRR, 2025)

InterFeat: An Automated Pipeline for Finding Interesting Hypotheses in Structured Biomedical Data. - Dan Ofer; Michal Linial; Dafna Shahaf (CoRR, 2025)

Towards Reliable Proof Generation with LLMs: A Neuro-Symbolic Approach. - Oren Sultan; Eitan Stern; Dafna Shahaf (CoRR, 2025)