Feature Selection Strategy in Text Classification. - Gabriel Pui Cheong Fung; Fred Morstatter; Huan Liu 001 (PAKDD (1), 2011)

Faceted Browsing over Social Media. - Ullas Nambiar; Tanveer A. Faruquie; Shamanth Kumar; Fred Morstatter; Huan Liu 001 (BDA, 2012)

Navigating information facets on twitter (NIF-T). - Shamanth Kumar; Fred Morstatter; Grant Marshall; Huan Liu 001; Ullas Nambiar (KDD, 2012)

Opening Doors to Sharing Social Media Data. - Fred Morstatter; Huan Liu 001; Daniel Zeng 001 (IEEE Intell. Syst., 2012)

Near real time assessment of social media using geo-temporal network analytics. - Kathleen M. Carley; Jürgen Pfeffer; Huan Liu 001; Fred Morstatter; Rebecca Goolsby (ASONAM, 2013)

Whom should I follow?: identifying relevant users during crises. - Shamanth Kumar; Fred Morstatter; Reza Zafarani; Huan Liu 001 (HT, 2013)

Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose. - Fred Morstatter; Jürgen Pfeffer; Huan Liu 001; Kathleen M. Carley (ICWSM, 2013)

Understanding Twitter data with TweetXplorer. - Fred Morstatter; Shamanth Kumar; Huan Liu 001; Ross Maciejewski (KDD, 2013)

Twitter Data Analytics - Shamanth Kumar; Fred Morstatter; Huan Liu 001 (Springer, 2014)

Finding Eyewitness Tweets During Crises. - Fred Morstatter; Nichola Lubold; Heather Pon-Barry; Jürgen Pfeffer; Huan Liu 001 (LTCSS@ACL, 2014)

When is it biased?: assessing the representativeness of twitter's streaming API. - Fred Morstatter; Jürgen Pfeffer; Huan Liu 001 (WWW (Companion Volume), 2014)

Embassies burning: toward a near-real-time assessment of social media using geo-temporal dynamic network analytics. - Kathleen M. Carley; Jürgen Pfeffer; Fred Morstatter; Huan Liu 001 (Soc. Netw. Anal. Min., 2014)

Text, Topics, and Turkers: A Consensus Measure for Statistical Topics. - Fred Morstatter; Jürgen Pfeffer; Katja Mayer; Huan Liu 001 (HT, 2015)

Surpassing the Limit: Keyword Clustering to Improve Twitter Sample Coverage. - Justin Sampson; Fred Morstatter; Ross Maciejewski; Huan Liu 001 (HT, 2015)

Social Answer: A System for Finding Appropriate Sites for Questions in Social Media. - Harsh Dani; Fred Morstatter; Xia Hu 001; Zhen Yang 004; Huan Liu 001 (ICDM Workshops, 2015)

Real-Time Crisis Mapping Using Language Distribution. - Justin Sampson; Fred Morstatter; Reza Zafarani; Huan Liu 001 (ICDM Workshops, 2015)

Predicting Online Protest Participation of Social Media Users. - Suhas Ranganath; Fred Morstatter; Xia Hu 001; Jiliang Tang; Huan Liu 001 (CoRR, 2015)

Discovering Location Information in Social Media. - Fred Morstatter; Huiji Gao; Huan Liu 001 (IEEE Data Eng. Bull., 2015)

Predicting Online Protest Participation of Social Media Users. - Suhas Ranganath; Fred Morstatter; Xia Hu 001; Jiliang Tang; Suhang Wang; Huan Liu 001 (AAAI, 2016)

A Novel Measure for Coherence in Statistical Topic Models. - Fred Morstatter; Huan Liu 001 (ACL (2), 2016)

Detecting and mitigating bias in social media. - Fred Morstatter (ASONAM, 2016)

A new approach to bot detection: Striking the balance between precision and recall. - Fred Morstatter; Liang Wu 006; Tahora H. Nazer; Kathleen M. Carley; Huan Liu 001 (ASONAM, 2016)

Finding requests in social media for disaster relief. - Tahora H. Nazer; Fred Morstatter; Harsh Dani; Huan Liu 001 (ASONAM, 2016)

Leveraging the Implicit Structure within Social Media for Emergent Rumor Detection. - Justin Sampson; Fred Morstatter; Liang Wu 006; Huan Liu 001 (CIKM, 2016)

Paired Restricted Boltzmann Machine for Linked Data. - Suhang Wang; Jiliang Tang; Fred Morstatter; Huan Liu 001 (CIKM, 2016)

Using Biased Social Samples for Disaster Response: Extended Abstract. - Fred Morstatter (CIC, 2016)

Can One Tamper with the Sample API?: Toward Neutralizing Bias from Spam and Bot Content. - Fred Morstatter; Harsh Dani; Justin Sampson; Huan Liu 001 (WWW (Companion Volume), 2016)

SlangSD: Building and Using a Sentiment Dictionary of Slang Words for Short-Text Sentiment Classification. - Liang Wu 006; Fred Morstatter; Huan Liu 001 (CoRR, 2016)

The good, the bad, and the ugly: uncovering novel research opportunities in social media mining. - Huan Liu 001; Fred Morstatter; Jiliang Tang; Reza Zafarani (Int. J. Data Sci. Anal., 2016)

Replacing Mechanical Turkers? Challenges in the Evaluation of Models with Semantic Properties. - Fred Morstatter; Huan Liu 001 (ACM J. Data Inf. Qual., 2016)

Adaptive Spammer Detection with Sparse Group Modeling. - Liang Wu 006; Xia Hu 001; Fred Morstatter; Huan Liu 001 (ICWSM, 2017)

Detecting Camouflaged Content Polluters. - Liang Wu 006; Xia Hu 001; Fred Morstatter; Huan Liu 001 (ICWSM, 2017)

Cross-Platform Emoji Interpretation: Analysis, a Solution, and Applications. - Fred Morstatter; Kai Shu; Suhang Wang; Huan Liu 001 (CoRR, 2017)

In Search of Coherence and Consensus: Measuring the Interpretability of Statistical Topics. - Fred Morstatter; Huan Liu 001 (J. Mach. Learn. Res., 2017)

Discovering, assessing, and mitigating data bias in social media. - Fred Morstatter; Huan Liu 001 (Online Soc. Networks Media, 2017)

Archiving information from geotagged tweets to promote reproducibility and comparability in social media research. - Katharina Kinder-Kurlanda; Katrin Weller; Wolfgang Zenk-Möltgen; Jürgen Pfeffer; Fred Morstatter (Big Data Soc., 2017)

Mining and Forecasting Career Trajectories of Music Artists. - Shushan Arakelyan; Fred Morstatter; Margaret Martin; Emilio Ferrara; Aram Galstyan (HT, 2018)

Toward Relational Learning with Misinformation. - Liang Wu 006; Jundong Li; Fred Morstatter; Huan Liu 001 (SDM, 2018)

From Alt-Right to Alt-Rechts: Twitter Analysis of the 2017 German Federal Election. - Fred Morstatter; Yunqiu Shao; Aram Galstyan; Shanika Karunasekera (WWW (Companion Volume), 2018)

Feature Selection: A Data Perspective. - Jundong Li; Kewei Cheng; Suhang Wang; Fred Morstatter; Robert P. Trevino; Jiliang Tang; Huan Liu 001 (ACM Comput. Surv., 2018)

Tampering with Twitter's Sample API. - Jürgen Pfeffer; Katja Mayer; Fred Morstatter (EPJ Data Sci., 2018)

SlangSD: building, expanding and using a sentiment dictionary of slang words for short-text sentiment classification. - Liang Wu 006; Fred Morstatter; Huan Liu 001 (Lang. Resour. Evaluation, 2018)

Identifying Framing Bias in Online News. - Fred Morstatter; Liang Wu 006; Uraz Yavanoglu; Steven R. Corman; Huan Liu 001 (ACM Trans. Soc. Comput., 2018)

Debiasing community detection: the importance of lowly connected nodes. - Ninareh Mehrabi; Fred Morstatter; Nanyun Peng 001; Aram Galstyan (ASONAM, 2019)

A Large-Scale Study of ISIS Social Media Strategy: Community Size, Collective Influence, and Behavioral Impact. - Majid Alfifi; Parisa Kaghazgaran; James Caverlee; Fred Morstatter (ICWSM, 2019)

SAGE: A Hybrid Geopolitical Event Forecasting System. - Fred Morstatter; Aram Galstyan; Gleb Satyukov; Daniel Benjamin; Andrés Abeliuk; Mehrnoosh Mirtaheri; K. S. M. Tozammel Hossain; Pedro A. Szekely; Emilio Ferrara; Akira Matsui; Mark Steyvers; Stephen Bennett; et al. (IJCAI, 2019)

Misinformation in Social Media: Definition, Manipulation, and Detection. - Liang Wu 006; Fred Morstatter; Kathleen M. Carley; Huan Liu 001 (SIGKDD Explor., 2019)

Anchor Attention for Hybrid Crowd Forecasts Aggregation. - Yuzhong Huang; Andrés Abeliuk; Fred Morstatter; Pavel Atanasov; Aram Galstyan (AAMAS, 2020)

Man is to Person as Woman is to Location: Measuring Gender Bias in Named Entity Recognition. - Ninareh Mehrabi; Thamme Gowda; Fred Morstatter; Nanyun Peng 001; Aram Galstyan (HT, 2020)

Aggressive, Repetitive, Intentional, Visible, and Imbalanced: Refining Representations for Cyberbullying Classification. - Caleb Ziems; Ymir Vigfusson; Fred Morstatter (ICWSM, 2020)

Graph Embedding with Personalized Context Distribution. - Di Huang; Zihao He; Yuzhong Huang; Kexuan Sun 002; Sami Abu-El-Haija; Bryan Perozzi; Kristina Lerman; Fred Morstatter; Aram Galstyan (WWW (Companion Volume), 2020)

Identifying Cultural Differences through Multi-Lingual Wikipedia. - Yufei Tian; Tuhin Chakrabarty; Fred Morstatter; Nanyun Peng 001 (CoRR, 2020)

Statistical Equity: A Fairness Classification Objective. - Ninareh Mehrabi; Yuzhong Huang; Fred Morstatter (CoRR, 2020)

Leveraging Clickstream Trajectories to Reveal Low-Quality Workers in Crowdsourced Forecasting Platforms. - Akira Matsui; Emilio Ferrara; Fred Morstatter; Andrés Abeliuk; Aram Galstyan (CoRR, 2020)

Political Partisanship and Anti-Science Attitudes in Online Discussions about Covid-19. - Ashwin Rao; Fred Morstatter; Minda Hu; Emily Chen; Keith Burghardt; Emilio Ferrara; Kristina Lerman (CoRR, 2020)

Exacerbating Algorithmic Bias through Fairness Attacks. - Ninareh Mehrabi; Muhammad Naveed; Fred Morstatter; Aram Galstyan (AAAI, 2021)

Identifying Distributional Perspectives from Colingual Groups. - Yufei Tian; Tuhin Chakrabarty; Fred Morstatter; Nanyun Peng 001 (SocialNLP@NAACL, 2021)

ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data. - Woojeong Jin 001; Rahul Khanna; Suji Kim; Dong-Ho Lee; Fred Morstatter; Aram Galstyan; Xiang Ren 001 (ACL/IJCNLP (1), 2021)

One-shot Learning for Temporal Knowledge Graphs. - Mehrnoosh Mirtaheri; Mohammad Rostami; Xiang Ren 001; Fred Morstatter; Aram Galstyan (AKBC, 2021)

Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources. - Ninareh Mehrabi; Pei Zhou; Fred Morstatter; Jay Pujara; Xiang Ren 001; Aram Galstyan (EMNLP (1), 2021)

Mapping Moral Valence of Tweets Following The Killing of George Floyd. - J. Hunter Priniski; Negar Mokhberian; Bahareh Harandizadeh; Fred Morstatter; Kristina Lerman; Hongjing Lu; P. Jeffrey Brantingham (ICWSM Workshops, 2021)

Analyzing Race and Citizenship Bias in Wikidata. - Zaina Shaik; Filip Ilievski; Fred Morstatter (MASS, 2021)

Models, Markets, and the Forecasting of Elections. - Rajiv Sethi; Julie Seager; Emily Cai; Daniel M. Benjamin; Fred Morstatter (CoRR, 2021)

Organizational Artifacts of Code Development. - Parisa Kaghazgaran; Nichola Lubold; Fred Morstatter (CoRR, 2021)

Analyzing Race and Country of Citizenship Bias in Wikidata. - Zaina Shaik; Filip Ilievski; Fred Morstatter (CoRR, 2021)

Attributing Fair Decisions with Attention Interventions. - Ninareh Mehrabi; Umang Gupta; Fred Morstatter; Greg Ver Steeg; Aram Galstyan (CoRR, 2021)

AutoTriggER: Named Entity Recognition with Auxiliary Trigger Extraction. - Dong-Ho Lee; Ravi Kiran Selvam; Sheikh Muhammad Sarwar; Bill Yuchen Lin; Mahak Agarwal; Fred Morstatter; Jay Pujara; Elizabeth Boschee; James Allan; Xiang Ren 001 (CoRR, 2021)

"Stop Asian Hate!" : Refining Detection of Anti-Asian Hate Speech During the COVID-19 Pandemic. - Huy Nghiem; Fred Morstatter (CoRR, 2021)

Detecting cryptocurrency pump-and-dump frauds using market and social signals. - Huy Nghiem; Goran Muric; Fred Morstatter; Emilio Ferrara (Expert Syst. Appl., 2021)

I'll Play on My Other Account: The Network and Behavioral Differences of Sybils. - Fred Morstatter; Do Own (Donna) Kim; Natalie Jonckheere; Calvin Liu; Malika Seth; Dmitri Williams (Proc. ACM Hum. Comput. Interact., 2021)

Identifying and Analyzing Cryptocurrency Manipulations in Social Media. - Mehrnoosh Mirtaheri; Sami Abu-El-Haija; Fred Morstatter; Greg Ver Steeg; Aram Galstyan (IEEE Trans. Comput. Soc. Syst., 2021)

Noise Audits Improve Moral Foundation Classification. - Negar Mokhberian; Frederic R. Hopp; Bahareh Harandizadeh; Fred Morstatter; Kristina Lerman (ASONAM, 2022)

Samba: Identifying Inappropriate Videos for Young Children on YouTube. - Le Binh; Rajat Tandon; Chingis Oinar; Jeffrey Liu; Uma Durairaj; Jiani Guo; Spencer Zahabizadeh; Sanjana Ilango; Jeremy Tang; Fred Morstatter; Simon S. Woo; Jelena Mirkovic (CIKM, 2022)

Productive Online Discourse for Emergency Response. - Gaurav Nuti; Louis Penafiel; Janelle Ward; Abel Salinas; Fred Morstatter; Nathan Schurr; Deirdre Kelliher; Laura Cassani; Robert McCormack (ICWSM Workshops, 2022)

Robust Conversational Agents against Imperceptible Toxicity Triggers. - Ninareh Mehrabi; Ahmad Beirami; Fred Morstatter; Aram Galstyan (NAACL-HLT, 2022)

Assessing Scientific Research Papers with Knowledge Graphs. - Kexuan Sun 002; Zhiqiang Qiu; Abel Salinas; Yuzhong Huang; Dong-Ho Lee; Daniel Benjamin; Fred Morstatter; Xiang Ren 001; Kristina Lerman; Jay Pujara (SIGIR, 2022)

Keyword Assisted Embedded Topic Model. - Bahareh Harandizadeh; J. Hunter Priniski; Fred Morstatter (WSDM, 2022)

Partisan Asymmetries in Exposure to Misinformation. - Ashwin Rao; Fred Morstatter; Kristina Lerman (CoRR, 2022)

Retweets Distort Exposure to Polarized Information. - Ashwin Rao; Fred Morstatter; Kristina Lerman (CoRR, 2022)

A Survey on Bias and Fairness in Machine Learning. - Ninareh Mehrabi; Fred Morstatter; Nripsuta Saxena; Kristina Lerman; Aram Galstyan (ACM Comput. Surv., 2022)

Where Does Bias in Common Sense Knowledge Models Come From? - Sara Melotte; Filip Ilievski; Linglan Zhang; Aditya Malte; Namita Mutha; Fred Morstatter; Ninareh Mehrabi (IEEE Internet Comput., 2022)

Social Bots and Their Coordination During Online Campaigns: A Survey. - Tuja Khaund; Baris Kirdemir; Nitin Agarwal 001; Huan Liu 001; Fred Morstatter (IEEE Trans. Comput. Soc. Syst., 2022)

Pipeline for modeling causal beliefs from natural language. - John Priniski; Ishaan Verma; Fred Morstatter (ACL (demo), 2023)

Modeling Cross-Cultural Pragmatic Inference with Codenames Duet. - Omar Shaikh; Caleb Ziems; William Held; Aryan J. Pariani; Fred Morstatter; Diyi Yang (ACL (Findings), 2023)

Measuring Online Emotional Reactions to Events. - Siyi Guo; Zihao He; Ashwin Rao; Eugene Jang; Yuanfeixue Nan; Fred Morstatter; P. Jeffrey Brantingham; Kristina Lerman (ASONAM, 2023)

Retweets Amplify the Echo Chamber Effect. - Ashwin Rao; Fred Morstatter; Kristina Lerman (ASONAM, 2023)

Pandemic Culture Wars: Partisan Differences in the Moral Language of COVID-19 Discussions. - Ashwin Rao; Siyi Guo; Sze-Yuh Nina Wang; Fred Morstatter; Kristina Lerman (IEEE Big Data, 2023)

The Unequal Opportunities of Large Language Models: Examining Demographic Biases in Job Recommendations by ChatGPT and LLaMA. - Abel Salinas; Parth Vipul Shah; Yuzhong Huang; Robert McCormack; Fred Morstatter (EAAMO, 2023)

AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction. - Dong-Ho Lee; Ravi Kiran Selvam; Sheikh Muhammad Sarwar; Bill Yuchen Lin; Fred Morstatter; Jay Pujara; Elizabeth Boschee; James Allan; Xiang Ren 001 (EACL, 2023)

Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning. - Dong-Ho Lee; Kian Ahrabian; Woojeong Jin 001; Fred Morstatter; Jay Pujara (EMNLP, 2023)

Just Another Day on Twitter: A Complete 24 Hours of Twitter Data. - Jürgen Pfeffer; Daniel Matter; Kokil Jaidka; Onur Varol; Afra Mashhadi; Jana Lasser; Dennis Assenmacher; Siqi Wu; Diyi Yang; Cornelia Brantner; Daniel M. Romero; Jahna Otterbacher; et al. (ICWSM, 2023)

Gender and Prestige Bias in Coronavirus News Reporting. - Rebecca Dorn; Yiwen Ma; Fred Morstatter; Kristina Lerman (CoRR, 2023)

Pandemic Culture Wars: Partisan Asymmetries in the Moral Language of COVID-19 Discussions. - Ashwin Rao; Siyi Guo; Sze-Yuh Nina Wang; Fred Morstatter; Kristina Lerman (CoRR, 2023)

Tighter Prediction Intervals for Causal Outcomes Under Hidden Confounding. - Myrl G. Marmarelis; Greg Ver Steeg; Aram Galstyan; Fred Morstatter (CoRR, 2023)

Measuring Online Emotional Reactions to Offline Events. - Siyi Guo; Zihao He; Ashwin Rao; Eugene Jang; Yuanfeixue Nan; Fred Morstatter; P. Jeffrey Brantingham; Kristina Lerman (CoRR, 2023)

The Unequal Opportunities of Large Language Models: Revealing Demographic Bias through Job Recommendations. - Abel Salinas; Parth Vipul Shah; Yuzhong Huang; Robert McCormack; Fred Morstatter (CoRR, 2023)

"Im not Racist but...": Discovering Bias in the Internal Knowledge of Large Language Models. - Abel Salinas; Louis Penafiel; Robert McCormack; Fred Morstatter (CoRR, 2023)

Hybrid forecasting of geopolitical events†. - Daniel M. Benjamin; Fred Morstatter; Ali E. Abbas; Andrés Abeliuk; Pavel Atanasov; Stephen Bennett; Andreas Beger; Saurabh Birari; David V. Budescu; Michele Catasta; Emilio Ferrara; Lucas Haravitch; et al. (AI Mag., 2023)

The Butterfly Effect of Altering Prompts: How Small Changes and Jailbreaks Affect Large Language Model Performance. - Abel Salinas; Fred Morstatter (ACL (Findings), 2024)

Policy Learning for Localized Interventions from Observational Data. - Myrl G. Marmarelis; Fred Morstatter; Aram Galstyan; Greg Ver Steeg (AISTATS, 2024)

Non-binary Gender Expression in Online Interactions. - Rebecca Dorn; Negar Mokhberian; Julie Jiang; Jeremy Abramson; Fred Morstatter; Kristina Lerman (ASONAM (2), 2024)

Evaluating Prediction Mechanisms: A Profitability Test. - Rajiv Sethi; Julie Seager; Emily Cai; Daniel Benjamin; Fred Morstatter; Olivia Bobrownicki; Yuqi Cheng; Anushka Kumar; Anusha Wanganoo (CI, 2024)

Ensembled Prediction Intervals for Causal Outcomes Under Hidden Confounding. - Myrl G. Marmarelis; Greg Ver Steeg; Aram Galstyan; Fred Morstatter (CLeaR, 2024)

Harmful Speech Detection by Language Models Exhibits Gender-Queer Dialect Bias. - Rebecca Dorn; Lee Kezar; Fred Morstatter; Kristina Lerman (EAAMO, 2024)

"Define Your Terms" : Enhancing Efficient Offensive Speech Classification with Definition. - Huy Nghiem; Umang Gupta; Fred Morstatter (EACL (1), 2024)

Operational Collective Intelligence of Humans and Machines. - Nikolos Gurney; Fred Morstatter; David V. Pynadath; Adam Russell; Gleb Satyukov (HCI (8), 2024)

Addressing Janus Issue in Text-to-3D via Orientation-Controlled Diffusion Models. - Yuzhong Huang; Fred Morstatter (ICPR (Workshops and Challenges, 3), 2024)

The Diffusion of Causal Language in Social Networks. - Zhuoyu Shi; Fred Morstatter (ICWSM, 2024)

Contextualizing Argument Quality Assessment with Relevant Knowledge. - Darshan Deshpande; Zhivar Sourati; Filip Ilievski; Fred Morstatter (NAACL (Short Papers), 2024)

Capturing Perspectives of Crowdsourced Annotators in Subjective Learning Tasks. - Negar Mokhberian; Myrl G. Marmarelis; Frederic R. Hopp; Valerio Basile; Fred Morstatter; Kristina Lerman (NAACL-HLT, 2024)

The Pulse of Mood Online: Unveiling Emotional Reactions in a Dynamic Social Media Landscape. - Siyi Guo; Zihao He; Ashwin Rao; Fred Morstatter; P. Jeffrey Brantingham; Kristina Lerman (CoRR, 2024)

The Curious Case of Nonverbal Abstract Reasoning with Multi-Modal Large Language Models. - Kian Ahrabian; Zhivar Sourati; Kexuan Sun 002; Jiarui Zhang 002; Yifan Jiang 001; Fred Morstatter; Jay Pujara (CoRR, 2024)

Don't Blame the Data, Blame the Model: Understanding Noise and Bias When Learning from Subjective Annotations. - Abhishek Anand; Negar Mokhberian; Prathyusha Naresh Kumar; Anweasha Saha; Zihao He; Ashwin Rao; Fred Morstatter; Kristina Lerman (CoRR, 2024)

Risk and Response in Large Language Models: Evaluating Key Threat Categories. - Bahareh Harandizadeh; Abel Salinas; Fred Morstatter (CoRR, 2024)

Secret Keepers: The Impact of LLMs on Linguistic Markers of Personal Traits. - Zhivar Sourati; Meltem Ozcan; Colin McDaniel; Alireza S. Ziabari; Nuan Wen; Ala N. Tak; Fred Morstatter; Morteza Dehghani (CoRR, 2024)

Online network topology shapes personal narratives and hashtag generation. - J. Hunter Priniski; Bryce Linford; Sai Krishna; Fred Morstatter; P. Jeffrey Brantingham; Hongjing Lu (CoRR, 2024)

OrientDream: Streamlining Text-to-3D Generation with Explicit Orientation Control. - Yuzhong Huang; Zhong Li; Zhang Chen; Zhiyuan Ren; Guosheng Lin; Fred Morstatter; Yi Xu 002 (CoRR, 2024)

UniPlane: Unified Plane Detection and Reconstruction from Posed Monocular Videos. - Yuzhong Huang; Chen Liu; Ji Hou; Ke Huo; Shiyu Dong; Fred Morstatter (CoRR, 2024)

Artificial Intuition: Efficient Classification of Scientific Abstracts. - Harsh Sakhrani; Naseela Pervez; Anirudh Ravi Kumar; Fred Morstatter; Alexandra Graddy-Reed; Andrea Belz (CoRR, 2024)

Estimating Causal Effects of Text Interventions Leveraging LLMs. - Siyi Guo; Myrl G. Marmarelis; Fred Morstatter; Kristina Lerman (CoRR, 2024)

Hybrid Forecasting of Geopolitical Events. - Daniel M. Benjamin; Fred Morstatter; Ali E. Abbas; Andrés Abeliuk; Pavel Atanasov; Stephen Bennett; Andreas Beger; Saurabh Birari; David V. Budescu; Michele Catasta; Emilio Ferrara; Lucas Haravitch; et al. (CoRR, 2024)

Precision Under Fire: Analysis and Predictive Modeling in Counter-Strike: Global Offensive. - Xinyao Xia; Abel Salinas; Fred Morstatter (CoG, 2025)

UniPlane: Unified Plane Detection and Reconstruction from Posed Monocular Videos. - Yuzhong Huang; Fred Morstatter (ICASSP, 2025)

OrientDream: Streamlining Text-to-3D Generation with Explicit Orientation Control. - Yuzhong Huang; Fred Morstatter (ICASSP, 2025)

Characterizing Network Structure of Anti-Trans Actors on TikTok. - Maxyn Rose Leitner; Rebecca Dorn; Fred Morstatter; Kristina Lerman (WebSci, 2025)

Offset Unlearning for Large Language Models. - James Y. Huang; Wenxuan Zhou; Fei Wang 060; Fred Morstatter; Sheng Zhang 012; Hoifung Poon; Muhao Chen 001 (Trans. Mach. Learn. Res., 2025)

The Shrinking Landscape of Linguistic Diversity in the Age of Large Language Models. - Zhivar Sourati; Farzan Karimi-Malekabadi; Meltem Ozcan; Colin McDaniel; Alireza S. Ziabari; Jackson Trager; Ala N. Tak; Meng Chen; Fred Morstatter; Morteza Dehghani (CoRR, 2025)

Using Artificial Intuition in Distinct, Minimalist Classification of Scientific Abstracts for Management of Technology Portfolios. - Prateek Ranka; Fred Morstatter; Andrea Belz; Alexandra Graddy-Reed (CoRR, 2025)