Construction of Aho Corasick Automaton in Linear Time for Integer Alphabets. - Shiri Dori; Gad M. Landau (CPM, 2005)

Cell Broadband Engine processor performance optimization: Tracing tools implementation and use. - Marina Biberstein; Shiri Dori-Hacohen; Yuval Harel; Andre Heilper; Bilha Mendelson; Uzi Shvadron; Eran Treister; Javier Turek; Moon S. Chang (IBM J. Res. Dev., 2009)

Detecting controversy on the web. - Shiri Dori-Hacohen; James Allan (CIKM, 2013)

Automated Controversy Detection on the Web. - Shiri Dori-Hacohen; James Allan (ECIR, 2015)

Navigating Controversy as a Complex Search Task. - Shiri Dori-Hacohen; Elad Yom-Tov; James Allan (SCST@ECIR, 2015)

Controversy Detection and Stance Analysis. - Shiri Dori-Hacohen (SIGIR, 2015)

Probabilistic Approaches to Controversy Detection. - Myungha Jang; John Foley; Shiri Dori-Hacohen; James Allan (CIKM, 2016)

Controversy Detection in Wikipedia Using Collective Classification. - Shiri Dori-Hacohen; David D. Jensen; James Allan (SIGIR, 2016)

Women in IR. - Laura Dietz; Elinor Brondwine; Shiri Dori-Hacohen; Ellen M. Voorhees (SIGIR Forum, 2016)

Modeling Controversy within Populations. - Myungha Jang; Shiri Dori-Hacohen; James Allan (ICTIR, 2017)

Is Climate Change Controversial? Modeling Controversy as Contention Within Populations. - Shiri Dori-Hacohen; Myungha Jang; James Allan (CoRR, 2017)

Third International Workshop on Recent Trends in News Information Retrieval (NewsIR'19). - Dyaa Albakour; Miguel Martinez; Sylvia Tippmann; Ahmet Aker; Jonathan Stray; Shiri Dori-Hacohen; Alberto Barrón-Cedeño (SIGIR, 2019)

Squabble: An Efficient, Scalable Controversy Classifier. - Shiri Dori-Hacohen; Elinor Brondwine; Jeremy Gollehon (NewsIR@SIGIR, 2019)

Report on the First HIPstIR Workshop on the Future of Information Retrieval. - Laura Dietz; Bhaskar Mitra 001; Jeremy Pickens; Hana Anber; Sandeep Avula; Asia Biega; Adrian Boteanu; Shubham Chatterjee; Jeff Dalton 001; Shiri Dori-Hacohen; John Foley; Henry Feild; et al. (SIGIR Forum, 2019)

Restoring Healthy Online Discourse by Detecting and Reducing Controversy, Misinformation, and Toxicity Online. - Shiri Dori-Hacohen; Keen Sung; Jengyu Chou; Julian Lustig-Gonzalez (SIGIR, 2021)

Fairness via AI: Bias Reduction in Medical Information. - Shiri Dori-Hacohen; Roberto E. Montenegro; Fabricio Murai; Scott A. Hale; Keen Sung; Michela Blain; Jennifer Edwards-Johnson (CoRR, 2021)

Current and Near-Term AI as a Potential Existential Risk Factor. - Benjamin S. Bucknall; Shiri Dori-Hacohen (AIES, 2022)

RIET Lab at CheckThat!-2022: Improving Decoder based Re-ranking for Claim Matching. - Michael Shliselberg; Shiri Dori-Hacohen (CLEF (Working Notes), 2022)

Information Ecosystem Threats in Minoritized Communities: Challenges, Open Problems and Research Directions. - Shiri Dori-Hacohen; Scott A. Hale (SIGIR, 2022)

Reducing Biases towards Minoritized Populations in Medical Curricular Content via Artificial Intelligence for Fairer Health Outcomes. - Chiman Salavati; Shannon Song; Willmar Sosa Diaz; Scott A. Hale; Roberto E. Montenegro; Fabricio Murai; Shiri Dori-Hacohen (AIES (1), 2024)

ClaimCompare: A Data Pipeline for Evaluation of Novelty Destroying Patent Pairs. - Arav Parikh; Shiri Dori-Hacohen (PatentSemTech@SIGIR, 2024)

Misinformation Mitigation Praxis: Lessons Learned and Future Directions from Co·Insights. - Scott A. Hale; Kiran Garimella 001; Shiri Dori-Hacohen (SIGIR, 2024)

SynDy: Synthetic Dynamic Dataset Generation Framework for Misinformation Tasks. - Michael Shliselberg; Ashkan Kazemi; Scott A. Hale; Shiri Dori-Hacohen (SIGIR, 2024)

Quantifying Misalignment Between Agents. - Aidan Kierans; Avijit Ghosh; Hananel Hazan; Shiri Dori-Hacohen (CoRR, 2024)

Towards Fairer Health Recommendations: finding informative unbiased samples via Word Sense Disambiguation. - Gavin Butts; Pegah Emdad; Jethro Lee; Shannon Song; Chiman Salavati; Willmar Sosa Diaz; Shiri Dori-Hacohen; Fabricio Murai (CoRR, 2024)

Quantifying Misalignment Between Agents: Towards a Sociotechnical Understanding of Alignment. - Aidan Kierans; Avijit Ghosh; Hananel Hazan; Shiri Dori-Hacohen (AAAI, 2025)

Stop treating 'AGI' as the north-star goal of AI research. - Borhane Blili-Hamelin; Christopher Graziul; Leif Hancox-Li; Hananel Hazan; El-Mahdi El-Mhamdi; Avijit Ghosh; Katherine A. Heller; Jacob Metcalf; Fabricio Murai; Eryk Salvaggio; Andrew Smart; Todd Snider; et al. (CoRR, 2025)

A Scaling Law for Token Efficiency in LLM Fine-Tuning Under Fixed Compute Budgets. - Ryan Lagasse; Aidan Kierans; Avijit Ghosh; Shiri Dori-Hacohen (CoRR, 2025)

AI-Powered Detection of Inappropriate Language in Medical School Curricula. - Chiman Salavati; Shannon Song; Scott A. Hale; Roberto E. Montenegro; Shiri Dori-Hacohen; Fabricio Murai (CoRR, 2025)