Web page classification on child suitability. - Carsten Eickhoff; Pavel Serdyukov; Arjen P. de Vries (CIKM, 2010)

BooksOnline'11: 4th workshop on online books, complementary social media, and crowdsourcing. - Gabriella Kazai; Carsten Eickhoff; Peter Brusilovsky (CIKM, 2011)

The where in the tweet. - Wen Li; Pavel Serdyukov; Arjen P. de Vries; Carsten Eickhoff; Martha A. Larson (CIKM, 2011)

Web Search Query Assistance Functionality for Young Audiences. - Carsten Eickhoff; Tamara Polajnar; Karl Gyllstrom; Sergio Duarte Torres; Richard Glassey (ECIR, 2011)

GeAnn at the TREC 2011 Crowdsourcing Track. - Carsten Eickhoff; Christopher G. Harris 001; Padmini Srinivasan; Arjen P. de Vries (TREC, 2011)

DMIR on Microblog Track 2011. - Wen Li; Carsten Eickhoff; Arjen P. de Vries (TREC, 2011)

Managing the Quality of Large-Scale Crowdsourcing. - Jeroen B. P. Vuurens; Carsten Eickhoff; Arjen P. de Vries (TREC, 2011)

A combined topical/non-topical approach to identifying web sites for children. - Carsten Eickhoff; Pavel Serdyukov; Arjen P. de Vries (WSDM, 2011)

The downside of markup: examining the harmful effects of CSS and javascript on indexing today's web. - Karl Gyllstrom; Carsten Eickhoff; Arjen P. de Vries; Marie-Francine Moens (CIKM, 2012)

Booksonline'12: 5th workshop on online books, complementary social media and their impact. - Gabriella Kazai; Monica Landoni; Carsten Eickhoff; Peter Brusilovsky (CIKM, 2012)

EmSe: Supporting Children's Information Needs within a Hospital Environment. - Leif Azzopardi; Douglas Dowie; Sergio Duarte Torres; Carsten Eickhoff; Richard Glassey; Karl Gyllstrom; Djoerd Hiemstra; Franciska de Jong; Frea Kruisinga; Kelly Ann Marshall; Sien Moens; Tamara Polajnar; et al. (ECIR, 2012)

EmSe: initial evaluation of a child-friendly medical search system. - Carsten Eickhoff; Leif Azzopardi; Djoerd Hiemstra; Franciska de Jong; Arjen P. de Vries; Douglas Dowie; Sergio Duarte Torres; Richard Glassey; Karl Gyllstrom; Frea Kruisinga; Kelly Ann Marshall; Sien Moens; et al. (IIiX, 2012)

Supporting children's web search in school environments. - Carsten Eickhoff; Pieter Dekker; Arjen P. de Vries (IIiX, 2012)

The BladeMistress Corpus: From Talk to Action in Virtual Worlds. - Anton Leuski; Carsten Eickhoff; James Ganis; Victor Lavrenko (LREC, 2012)

Relevance as a subjective and situational multidimensional concept. - Carsten Eickhoff (SIGIR, 2012)

Quality through flow and immersion: gamifying crowdsourced relevance assessments. - Carsten Eickhoff; Christopher G. Harris 001; Arjen P. de Vries; Padmini Srinivasan (SIGIR, 2012)

Want a coffee?: predicting users' trails. - Wen Li; Carsten Eickhoff; Arjen P. de Vries (SIGIR, 2012)

Report on BooksOnline'11: 4th workshop on online books, complementary social media, and crowdsourcing. - Gabriella Kazai; Carsten Eickhoff; Peter Brusilovsky (SIGIR Forum, 2012)

Designing Human-Readable User Profiles for Search Evaluation. - Carsten Eickhoff; Kevyn Collins-Thompson; Paul N. Bennett; Susan T. Dumais (ECIR, 2013)

Exploiting User Comments for Audio-Visual Content Indexing and Retrieval. - Carsten Eickhoff; Wen Li; Arjen P. de Vries (ECIR, 2013)

Copulas for information retrieval. - Carsten Eickhoff; Arjen P. de Vries; Kevyn Collins-Thompson (SIGIR, 2013)

Personalizing atypical web search sessions. - Carsten Eickhoff; Kevyn Collins-Thompson; Paul N. Bennett; Susan T. Dumais (WSDM, 2013)

Increasing cheat robustness of crowdsourcing tasks. - Carsten Eickhoff; Arjen P. de Vries (Inf. Retr., 2013)

Modelling Complex Relevance Spaces with Copulas. - Carsten Eickhoff; Arjen P. de Vries (CIKM, 2014)

Crowd-powered experts: helping surgeons interpret breast cancer images. - Carsten Eickhoff (GamifIR@ECIR, 2014)

Geo-spatial Domain Expertise in Microblogs. - Wen Li; Carsten Eickhoff; Arjen P. de Vries (ECIR, 2014)

Interactive summarization of social media. - Wen Li; Carsten Eickhoff; Arjen P. de Vries (IIiX, 2014)

Lessons from the journey: a query log analysis of within-session learning. - Carsten Eickhoff; Jaime Teevan; Ryen White; Susan T. Dumais (WSDM, 2014)

Exploiting Document Content for Efficient Aggregation of Crowdsourcing Votes. - Martin Davtyan; Carsten Eickhoff; Thomas Hofmann 001 (CIKM, 2015)

Human Intelligence in Search and Retrieval. - Carsten Eickhoff (GamifIR@ECIR, 2015)

An Eye-Tracking Study of Query Reformulation. - Carsten Eickhoff; Sebastian Dungs; Vu Tran 001 (SIGIR, 2015)

Modelling Term Dependence with Copulas. - Carsten Eickhoff; Arjen P. de Vries; Thomas Hofmann 001 (SIGIR, 2015)

Active Content-Based Crowdsourcing Task Selection. - Piyush Bansal; Carsten Eickhoff; Thomas Hofmann 001 (CIKM, 2016)

Probabilistic Local Expert Retrieval. - Wen Li; Carsten Eickhoff; Arjen P. de Vries (ECIR, 2016)

A Cross-Platform Collection of Social Network Profiles. - Maria Han Veiga; Carsten Eickhoff (SIGIR, 2016)

Retrieval Techniques for Contextual Learning. - Nino Weingart; Carsten Eickhoff (SAL@SIGIR, 2016)

ETH Zurich at TREC Clinical Decision Support 2016. - Simon Greuter; Philip Junker; Lorenz Kuhn; Felix Mance; Virgile Mermet; Angela Rellstab; Carsten Eickhoff (TREC, 2016)

Probabilistic Bag-Of-Hyperlinks Model for Entity Linking. - Octavian-Eugen Ganea; Marina Ganea; Aurélien Lucchi; Carsten Eickhoff; Thomas Hofmann 001 (WWW, 2016)

Neural Document Embeddings for Intensive Care Patient Mortality Prediction. - Paulina Grnarova; Florian Schmidt 005; Stephanie L. Hyland; Carsten Eickhoff (CoRR, 2016)

Web-scale Topic Models in Spark: An Asynchronous Parameter Server. - Rolf Jagerman; Carsten Eickhoff (CoRR, 2016)

Implicit Negative Feedback in Clinical Information Retrieval. - Lorenz Kuhn; Carsten Eickhoff (CoRR, 2016)

Semantic Place Descriptors for Classification and Map Discovery. - Siddharth Sarda; Carsten Eickhoff; Thomas Hofmann 001 (CoRR, 2016)

Privacy Leakage through Innocent Content Sharing in Online Social Networks. - Maria Han Veiga; Carsten Eickhoff (CoRR, 2016)

Efficient Parallel Learning of Word2Vec. - Jeroen B. P. Vuurens; Carsten Eickhoff; Arjen P. de Vries (CoRR, 2016)

"Robust statistical methods in web retrieval" by Carsten Eickhoff and Arjen P. de Vries, with Martin Vesely as coordinator. - Carsten Eickhoff; Arjen P. de Vries (SIGWEB Newsl., 2016)

Overview of ImageCLEFcaption 2017 - Image Caption Prediction and Concept Detection for Biomedical Images. - Carsten Eickhoff; Immanuel Schwall; Alba Garcia Seco de Herrera; Henning Müller (CLEF (Working Notes), 2017)

Ranking and Feedback-based Stopping for Recall-Centric Document Retrieval. - Noah Hollmann; Carsten Eickhoff (CLEF (Working Notes), 2017)

Overview of ImageCLEF 2017: Information Extraction from Images. - Bogdan Ionescu; Henning Müller; Mauricio Villegas; Helbert Arenas; Giulia Boato; Duc-Tien Dang-Nguyen; Yashin Dicente Cid; Carsten Eickhoff; Alba Garcia Seco de Herrera; Cathal Gurrin; Md Bayzidul Islam; Vassili Kovalev; et al. (CLEF, 2017)

Computing Web-scale Topic Models using an Asynchronous Parameter Server. - Rolf Jagerman; Carsten Eickhoff; Maarten de Rijke (SIGIR, 2017)

ETH Zurich at TREC Precision Medicine 2017. - Negar Foroutan Eghlidi; Jannick Griner; Nicolas Mesot; Leandro von Werra; Carsten Eickhoff (TREC, 2017)

Evaluating Music Recommender Systems for Groups. - Zsolt Mezei; Carsten Eickhoff (CoRR, 2017)

Unsupervised Spatio-Temporal Embeddings for User and Location Modelling. - Jing Yang 022; Carsten Eickhoff (CoRR, 2017)

Introduction to the special issue on search as learning. - Carsten Eickhoff; Jacek Gwizdka; Claudia Hauff; Jiyin He (Inf. Retr. J., 2017)

Distant Supervision in Clinical Information Retrieval. - Xing Wei; Carsten Eickhoff (AMIA, 2018)

Overview of the ImageCLEF 2018 Caption Prediction Tasks. - Alba Garcia Seco de Herrera; Carsten Eickhoff; Vincent Andrearczyk; Henning Müller (CLEF (Working Notes), 2018)

Overview of ImageCLEF 2018: Challenges, Datasets and Evaluation. - Bogdan Ionescu; Henning Müller; Mauricio Villegas; Alba Garcia Seco de Herrera; Carsten Eickhoff; Vincent Andrearczyk; Yashin Dicente Cid; Vitali Liauchuk; Vassili Kovalev; Sadid A. Hasan; Yuan Ling; Oladimeji Farri; et al. (CLEF, 2018)

Biomedical Question Answering via Weighted Neural Network Passage Retrieval. - Ferenc Galkó; Carsten Eickhoff (ECIR, 2018)

Web2Text: Deep Structured Boilerplate Removal. - Thijs Vogels; Octavian-Eugen Ganea; Carsten Eickhoff (ECIR, 2018)

Brown University at TREC Precision Medicine 2018. - Prakrit Baruah; Riya Dulepet; Kyle Qian; Carsten Eickhoff (TREC, 2018)

Cognitive Biases in Crowdsourcing. - Carsten Eickhoff (WSDM, 2018)

Embedding Electronic Health Records for Clinical Information Retrieval. - Xing Wei; Carsten Eickhoff (CoRR, 2018)

Unsupervised Learning of Parsimonious General-Purpose Embeddings for User and Location Modeling. - Jing Yang 022; Carsten Eickhoff (ACM Trans. Inf. Syst., 2018)

Enriching Word Embeddings for Patent Retrieval with Global Context. - Sebastian Hofstätter; Navid Rekabsaz; Mihai Lupu; Carsten Eickhoff; Allan Hanbury (ECIR (1), 2019)

DC3 - A Diagnostic Case Challenge Collection for Clinical Decision Support. - Carsten Eickhoff; Floran Gmehlin; Anu V. Patel; Jocelyn Boullier; Hamish Fraser 001 (ICTIR, 2019)

Generative Adversarial Networks in Precision Oncology. - Leandro von Werra; Marcel Schöngens; Ece D. Gamsiz Uzun; Carsten Eickhoff (ICTIR, 2019)

On the Effect of Low-Frequency Terms on Neural-IR Models. - Sebastian Hofstätter; Navid Rekabsaz; Carsten Eickhoff; Allan Hanbury (SIGIR, 2019)

Brown University at TREC Precision Medicine 2019. - Abdullah Ahmed; Gil Alon; Bashar Zaidat; Isaac Nathoo; Hwai-Liang Tung; Charles Wang; Carsten Eickhoff (TREC, 2019)

Brown University at TREC Deep Learning 2019. - George Zerveas; Ruochen Zhang; Leila Kim; Carsten Eickhoff (TREC, 2019)

Dynamic compression schemes for graph coloring. - Harun Mustafa; Ingo Schilken; Mikhail Karasikov; Carsten Eickhoff; Gunnar Rätsch; André Kahles (Bioinform., 2019)

Categorization of free-text drug orders using character-level recurrent neural networks. - Yarden Raiskin; Carsten Eickhoff; Patrick E. Beeler (Int. J. Medical Informatics, 2019)

Extracting Angina Symptoms from Clinical Notes Using Pre-Trained Transformer Architectures. - Aaron S. Eisman; Nishant R. Shah; Carsten Eickhoff; George Zerveas; Elizabeth S. Chen; Wen-Chih Wu; Indra Neil Sarkar (AMIA, 2020)

Do "Undocumented Workers" == "Illegal Aliens"? Differentiating Denotation and Connotation in Vector Spaces. - Albert Webson; Zhizhong Chen; Carsten Eickhoff; Ellie Pavlick (EMNLP (1), 2020)

Search Result Explanations Improve Efficiency and Trust. - Jerome Ramos; Carsten Eickhoff (SIGIR, 2020)

Overview of the Health Search and Data Mining (HSDM 2020) Workshop. - Carsten Eickhoff; Yubin Kim 001; Ryen W. White (WSDM, 2020)

Wasserstein Adversarial Autoencoders for Knowledge Graph Embedding based Drug-Drug Interaction Prediction. - Yuanfei Dai; Chenhao Guo; Wenzhong Guo; Carsten Eickhoff (CoRR, 2020)

Mining Misdiagnosis Patterns from Biomedical Literature. - Cindy Li; Elizabeth Chen; Guergana Savova; Hamish Fraser 001; Carsten Eickhoff (CoRR, 2020)

Diagnosis Prevalence vs. Efficacy in Machine-learning Based Diagnostic Decision Support. - Gil Alon; Elizabeth Chen; Guergana Savova; Carsten Eickhoff (CoRR, 2020)

Are "Undocumented Workers" the Same as "Illegal Aliens"? Disentangling Denotation and Connotation in Vector Spaces. - Albert Webson; Zhizhong Chen; Carsten Eickhoff; Ellie Pavlick (CoRR, 2020)

Deep-learning-based real-time prediction of acute kidney injury outperforms human predictive performance. - Nina Rank; Boris Pfahringer; Jörg Kempfert; Christof Stamm; Titus Kühne; Felix Schoenrath; Volkmar Falk; Carsten Eickhoff; Alexander Meyer (npj Digit. Medicine, 2020)

Report on CLEF 2020. - Avi Arampatzis; Linda Cappellato; Carsten Eickhoff; Nicola Ferro 001; Hideo Joho; Evangelos Kanoulas; Christina Lioma; Aurélie Névéol; Theodora Tsikrika; Stefanos Vrochidis (SIGIR Forum, 2020)

The Anatomy of Discourse: Linguistic Predictors of Narrative and Argument Quality. - Sheridan Feucht; Babak Hemmatian; Rachel Avram; Alexander Wey; Kate Spitalnic; Muskaan Garg; Carsten Eickhoff; Ellie Pavlick; Björn Sandstede; Steven A. Sloman (CogSci, 2021)

Narratives of Consensus: a Decade of Reddit Discourse on Marijuana Legalization. - Babak Hemmatian; Nathaniel Goodman; Jonathan Lee; Carsten Eickhoff; Steven A. Sloman (CogSci, 2021)

Can computers tell a story? Discourse Structure in Computer-generated Text and Humans. - Alexander Wey; Babak Hemmatian; Rachel Avram; Sheridan Feucht; Kate Spitalnic; Muskaan Garg; Carsten Eickhoff; Ellie Pavlick; Björn Sandstede; Steven A. Sloman (CogSci, 2021)

Self-Supervised Neural Topic Modeling. - Seyed Ali Bahrainian; Martin Jaggi; Carsten Eickhoff (EMNLP (Findings), 2021)

A Modern Perspective on Query Likelihood with Deep Generative Retrieval Models. - Oleg Lesota; Navid Rekabsaz; Daniel Cohen; Klaus Antonius Grasserbauer; Carsten Eickhoff; Markus Schedl (ICTIR, 2021)

A Transformer-based Framework for Multivariate Time Series Representation Learning. - George Zerveas; Srideepika Jayaraman; Dhaval Patel 002; Anuradha Bhamidipaty; Carsten Eickhoff (KDD, 2021)

SOCCER: An Information-Sparse Discourse State Tracking Collection in the Sports Commentary Domain. - Ruochen Zhang; Carsten Eickhoff (NAACL-HLT, 2021)

Not All Relevance Scores are Equal: Efficient Uncertainty and Calibration Modeling for Deep Retrieval Models. - Daniel Cohen; Bhaskar Mitra 001; Oleg Lesota; Navid Rekabsaz; Carsten Eickhoff (SIGIR, 2021)

TripClick: The Log Files of a Large Health Web Search Engine. - Navid Rekabsaz; Oleg Lesota; Markus Schedl; Jon Brassey; Carsten Eickhoff (SIGIR, 2021)

Drug-drug interaction prediction with Wasserstein Adversarial Autoencoder-based knowledge graph embeddings. - Yuanfei Dai; Chenhao Guo; Wenzhong Guo; Carsten Eickhoff (Briefings Bioinform., 2021)

Benchmarking Modern Named Entity Recognition Techniques for Free-text Health Record De-identification. - Abdullah Ahmed; Adeel Abbasi; Carsten Eickhoff (CoRR, 2021)

The Cross-Lingual Arabic Information REtrieval (CLAIRE) System. - Zhizhong Chen; Carsten Eickhoff (CoRR, 2021)

ExpertRank: A Multi-level Coarse-grained Expert-based Listwise Ranking Loss. - Zhizhong Chen; Carsten Eickhoff (CoRR, 2021)

PoolRank: Max/Min Pooling-based Ranking Loss for Listwise Learning & Ranking Balance. - Zhizhong Chen; Carsten Eickhoff (CoRR, 2021)

IsoScore: Measuring the Uniformity of Vector Space Utilization. - William Rudman; Nate Gillman; Taylor Rayne; Carsten Eickhoff (CoRR, 2021)

A Novel Corpus of Discourse Structure in Humans and Computers. - Babak Hemmatian; Sheridan Feucht; Rachel Avram; Alexander Wey; Muskaan Garg; Kate Spitalnic; Carsten Eickhoff; Ellie Pavlick; Björn Sandstede; Steven A. Sloman (CoRR, 2021)

Image-Like Graph Representations for Improved Molecular Property Prediction. - Toni Sagayaraj; Carsten Eickhoff (CoRR, 2021)

CODER: An efficient framework for improving retrieval through COntextualized Document Embedding Reranking. - George Zerveas; Navid Rekabsaz; Daniel Cohen; Carsten Eickhoff (CoRR, 2021)

NEWTS: A Corpus for News Topic-Focused Summarization. - Seyed Ali Bahrainian; Sheridan Feucht; Carsten Eickhoff (ACL (Findings), 2022)

IsoScore: Measuring the Uniformity of Embedding Space Utilization. - William Rudman; Nate Gillman; Taylor Rayne; Carsten Eickhoff (ACL (Findings), 2022)

When BERT Fails - The Limits of EHR Classification. - Augusto Garcia-Agundez; Carsten Eickhoff (AMIA, 2022)

Garden Path Traversal in GPT-2. - William Jurayj; William Rudman; Carsten Eickhoff (BlackboxNLP@EMNLP, 2022)

ACQuA: Anomaly Classification with Quasi-Attractors. - William Rudman; Jack Merullo; Laura Mercurio; Carsten Eickhoff (CinC, 2022)

CODER: An efficient framework for improving retrieval through COntextual Document Embedding Reranking. - George Zerveas; Navid Rekabsaz; Daniel Cohen; Carsten Eickhoff (EMNLP, 2022)

Unsupervised Multivariate Time-Series Transformers for Seizure Identification on EEG. - Ilkay Yildiz Potter; George Zerveas; Carsten Eickhoff; Dominique Duncan (ICMLA, 2022)

Inconsistent Ranking Assumptions in Medical Search and Their Downstream Consequences. - Daniel Cohen; Kevin Du; Bhaskar Mitra 001; Laura Mercurio; Navid Rekabsaz; Carsten Eickhoff (SIGIR, 2022)

Mitigating Bias in Search Results Through Contextual Document Reranking and Neutrality Regularization. - George Zerveas; Navid Rekabsaz; Daniel Cohen; Carsten Eickhoff (SIGIR, 2022)

Pretraining on Interactions for Learning Grounded Affordance Representations. - Jack Merullo; Dylan Ebert; Carsten Eickhoff; Ellie Pavlick (*SEM@NAACL-HLT, 2022)

Garden-Path Traversal within GPT-2. - William Jurayj; William Rudman; Carsten Eickhoff (CoRR, 2022)

Evaluating Search Explainability with Psychometrics and Crowdsourcing. - Catherine Chen 001; Carsten Eickhoff (CoRR, 2022)

Multimodal attention-based deep learning for Alzheimer's disease diagnosis. - Michal Golovanevsky; Carsten Eickhoff; Ritambhara Singh (J. Am. Medical Informatics Assoc., 2022)

An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data. - Chris K. Kim; Ji Whae Choi; Zhicheng Jiao; Dongcui Wang; Jing Wu; Thomas Y. Yi; Kasey C. Halsey; Feyisope Eweje; Thi My Linh Tran; Chang Liu 082; Robin Wang; John Sollee; et al. (npj Digit. Medicine, 2022)

CATS: Customizable Abstractive Topic-based Summarization. - Seyed Ali Bahrainian; George Zerveas; Fabio Crestani; Carsten Eickhoff (ACM Trans. Inf. Syst., 2022)

SIMSUM: Document-level Text Simplification via Simultaneous Summarization. - Sofia Blinova; Xinyu Zhou; Martin Jaggi; Carsten Eickhoff; Seyed Ali Bahrainian (ACL (1), 2023)

Predictive Uncertainty-based Bias Mitigation in Ranking. - Maria Heuss; Daniel Cohen; Masoud Mansoury; Maarten de Rijke; Carsten Eickhoff (CIKM, 2023)

Leveraging Unlabeled Electroencephalographic Data to Predict Neurological Recovery for Comatose Patients Following Cardiac Arrest. - Isaac Sears; Augusto Garcia-Agundez; George Zerveas; William Rudman; Laura Mercurio; Corey E. Ventetuolo; Adeel Abbasi; Carsten Eickhoff (CinC, 2023)

Parameter-efficient Modularised Bias Mitigation via AdapterFusion. - Deepak Kumar; Oleg Lesota; George Zerveas; Daniel Cohen; Carsten Eickhoff; Markus Schedl; Navid Rekabsaz (EACL, 2023)

Outlier Dimensions Encode Task Specific Knowledge. - William Rudman; Catherine Chen 001; Carsten Eickhoff (EMNLP, 2023)

Enhancing the Ranking Context of Dense Retrieval through Reciprocal Nearest Neighbors. - George Zerveas; Navid Rekabsaz; Carsten Eickhoff (EMNLP, 2023)

Linearly Mapping from Image to Text Space. - Jack Merullo; Louis Castricato; Carsten Eickhoff; Ellie Pavlick (ICLR, 2023)

Neural Summarization of Electronic Health Records. - Koyena Pal; Seyed Ali Bahrainian; Laura Mercurio; Carsten Eickhoff (CoRR, 2023)

Enhancing the Ranking Context of Dense Retrieval Methods through Reciprocal Nearest Neighbors. - George Zerveas; Navid Rekabsaz; Carsten Eickhoff (CoRR, 2023)

SSE: A Metric for Evaluating Search System Explainability. - Catherine Chen 001; Carsten Eickhoff (CoRR, 2023)

One-Versus-Others Attention: Scalable Multimodal Integration. - Michal Golovanevsky; Eva Schiller; Akira Nair; Ritambhara Singh; Carsten Eickhoff (CoRR, 2023)

Impact Factors for Computer Science Conferences. - Carsten Eickhoff (CoRR, 2023)

Controllable Topic-Focused Abstractive Summarization. - Seyed Ali Bahrainian; Martin Jaggi; Carsten Eickhoff (CoRR, 2023)

Text Simplification via Adaptive Teaching. - Seyed Ali Bahrainian; Jonathan Dou; Carsten Eickhoff (ACL (Findings), 2024)

CroCoSum: A Benchmark Dataset for Cross-Lingual Code-Switched Summarization. - Ruochen Zhang; Carsten Eickhoff (LREC/COLING, 2024)

Re-Evaluating Evaluation for Multilingual Summarization. - Jessica Forde; Ruochen Zhang; Lintang Sutawika; Alham Fikri Aji; Samuel Cahyawijaya; Genta Indra Winata; Minghao Wu; Carsten Eickhoff; Stella Biderman; Ellie Pavlick (EMNLP, 2024)

Circuit Component Reuse Across Tasks in Transformer Language Models. - Jack Merullo; Carsten Eickhoff; Ellie Pavlick (ICLR, 2024)

Stable Anisotropic Regularization. - William Rudman; Carsten Eickhoff (ICLR, 2024)

Retrieval Augmented Zero-Shot Text Classification. - Tassallah Abdullahi; Ritambhara Singh; Carsten Eickhoff (ICTIR, 2024)

Language Models Implement Simple Word2Vec-style Vector Arithmetic. - Jack Merullo; Carsten Eickhoff; Ellie Pavlick (NAACL-HLT, 2024)

Talking Heads: Understanding Inter-Layer Communication in Transformer Language Models. - Jack Merullo; Carsten Eickhoff; Ellie Pavlick (NeurIPS, 2024)

Evaluating Search System Explainability with Psychometrics and Crowdsourcing. - Catherine Chen 001; Carsten Eickhoff (SIGIR, 2024)

Axiomatic Causal Interventions for Reverse Engineering Relevance Computation in Neural Retrieval Models. - Catherine Chen 001; Jack Merullo; Carsten Eickhoff (SIGIR, 2024)

What Do VLMs NOTICE? A Mechanistic Interpretability Pipeline for Noise-free Text-Image Corruption and Evaluation. - Michal Golovanevsky; William Rudman; Vedant Palit; Ritambhara Singh; Carsten Eickhoff (CoRR, 2024)

Beyond One-Time Validation: A Framework for Adaptive Validation of Prognostic and Diagnostic AI-based Medical Devices. - Florian Hellmeier; Kay Brosien; Carsten Eickhoff; Alexander Meyer (CoRR, 2024)

Wasserstein adversarial learning based temporal knowledge graph embedding. - Yuanfei Dai; Wenzhong Guo; Carsten Eickhoff (Inf. Sci., 2024)

Forgotten Polygons: Multimodal Large Language Models are Shape-Blind. - William Rudman; Michal Golovanevsky; Amir Bar; Vedant Palit; Yann LeCun; Carsten Eickhoff; Ritambhara Singh (ACL (Findings), 2025)

Enhancing Retrieval-Augmented Generation: A Study of Best Practices. - Siran Li; Linus Stenzel; Carsten Eickhoff; Seyed Ali Bahrainian (COLING, 2025)

MechIR: A Mechanistic Interpretability Framework for Information Retrieval. - Andrew Parry; Catherine Chen 001; Carsten Eickhoff; Sean MacAvaney (ECIR (5), 2025)

The Same but Different: Structural Similarities and Differences in Multilingual Language Modeling. - Ruochen Zhang; Qinan Yu; Matianyu Zang; Carsten Eickhoff; Ellie Pavlick (ICLR, 2025)

What Do VLMs NOTICE? A Mechanistic Interpretability Pipeline for Gaussian-Noise-free Text-Image Corruption and Evaluation. - Michal Golovanevsky; William Rudman; Vedant Palit; Carsten Eickhoff; Ritambhara Singh (NAACL (Long Papers), 2025)

Workshop on Explainability in Information Retrieval. - Maria Heuss; Catherine Chen 001; Avishek Anand; Carsten Eickhoff; Suzan Verberne (SIGIR, 2025)

Towards Best Practices of Axiomatic Activation Patching in Information Retrieval. - Gregory Polyakov; Catherine Chen 001; Carsten Eickhoff (SIGIR, 2025)

Cross-Encoder Rediscovers a Semantic Variant of BM25. - Meng Lu; Catherine Chen 001; Carsten Eickhoff (CoRR, 2025)

K-Paths: Reasoning over Graph Paths for Drug Repurposing and Drug Interaction Prediction. - Tassallah Abdullahi; Ioanna Gemou; Nihal V. Nayak; Ghulam Murtaza; Stephen H. Bach; Carsten Eickhoff; Ritambhara Singh (CoRR, 2025)

Forgotten Polygons: Multimodal Large Language Models are Shape-Blind. - William Rudman; Michal Golovanesky; Amir Bar; Vedant Palit; Yann LeCun; Carsten Eickhoff; Ritambhara Singh (CoRR, 2025)

Beyond Contrastive Learning: Synthetic Data Enables List-wise Training with Multiple Levels of Relevance. - Reza Esfandiarpoor; George Zerveas; Ruochen Zhang; Macton Mgonzo; Carsten Eickhoff; Stephen H. Bach (CoRR, 2025)

Crosslingual Reasoning through Test-Time Scaling. - Zheng-Xin Yong; Muhammad Farid Adilazuarda; Jonibek Mansurov; Ruochen Zhang; Niklas Muennighoff; Carsten Eickhoff; Genta Indra Winata; Julia Kreutzer; Stephen H. Bach; Alham Fikri Aji (CoRR, 2025)

TRIM: Achieving Extreme Sparsity with Targeted Row-wise Iterative Metric-driven Pruning. - Florentin Beck; William Rudman; Carsten Eickhoff (CoRR, 2025)

Pixels Versus Priors: Controlling Knowledge Priors in Vision-Language Models through Visual Counterfacts. - Michal Golovanevsky; William Rudman; Michael Lepori; Amir Bar; Ritambhara Singh; Carsten Eickhoff (CoRR, 2025)

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline. - Meng Lu; Ruochen Zhang; Carsten Eickhoff; Ellie Pavlick (CoRR, 2025)

Understanding (Un)Reliability of Steering Vectors in Language Models. - Joschka Braun; Carsten Eickhoff; David Krueger 001; Seyed Ali Bahrainian; Dmitrii Krasheninnikov (CoRR, 2025)

Beyond Multiple Choice: Evaluating Steering Vectors for Adaptive Free-Form Summarization. - Joschka Braun; Carsten Eickhoff; Seyed Ali Bahrainian (CoRR, 2025)

Cohort Discovery: A Survey on LLM-Assisted Clinical Trial Recruitment. - Shrestha Ghosh; Moritz Schneider; Carina Reinicke; Carsten Eickhoff (CoRR, 2025)

PiCME: Pipeline for Contrastive Modality Evaluation and Encoding in the MIMIC Dataset. - Michal Golovanevsky; Pranav Mahableshwarkar; Carsten Eickhoff; Ritambhara Singh (CoRR, 2025)

The topology of molecular representations and its influence on machine learning performance. - Florian Rottach; Sebastian Schieferdecker; Carsten Eickhoff (J. Cheminformatics, 2025)