Meta Analysis within Authorship Verification. - Benno Stein 001; Nedim Lipka; Sven Meyer zu Eissen (DEXA Workshops, 2008)

A knowledge-based giffler-thompson heuristic for rescheduling job-shops. - Mark Aufenanger; Nedim Lipka; Benjamin Klöpper; Wilhelm Dangelmaier (CISched, 2009)

Evaluating Cross-Language Explicit Semantic Analysis and Cross Querying. - Maik Anderka; Nedim Lipka; Benno Stein 001 (CLEF (1), 2009)

Evaluating Cross-Language Explicit Semantic Analysis and Cross Querying at TEL@CLEF 2009. - Maik Anderka; Nedim Lipka; Benno Stein 001 (CLEF (Working Notes), 2009)

A Comparison of Language Identification Approaches on Short, Query-Style Texts. - Thomas Gottron; Nedim Lipka (ECIR, 2010)

Identifying featured articles in wikipedia: writing style matters. - Nedim Lipka; Benno Stein 001 (WWW, 2010)

Web Genre Analysis: Use Cases, Retrieval Models, and Implementation Issues. - Benno Stein 001; Sven Meyer zu Eissen; Nedim Lipka (Genres on the Web, 2011)

Detection of text quality flaws as a one-class classification problem. - Maik Anderka; Benno Stein 001; Nedim Lipka (CIKM, 2011)

Robust Models in Information Retrieval. - Nedim Lipka; Benno Stein 001 (DEXA Workshops, 2011)

Classifying with Co-stems - A New Representation for Information Filtering. - Nedim Lipka; Benno Stein 001 (ECIR, 2011)

Towards automatic quality assurance in Wikipedia. - Maik Anderka; Benno Stein 001; Nedim Lipka (WWW (Companion Volume), 2011)

Intrinsic plagiarism analysis. - Benno Stein 001; Nedim Lipka; Peter Prettenhofer (Lang. Resour. Evaluation, 2011)

Estimating the Expected Effectiveness of Text Classification Solutions under Subclass Distribution Shifts. - Nedim Lipka; Benno Stein 001; James G. Shanahan (ICDM, 2012)

Predicting quality flaws in user-generated content: the case of wikipedia. - Maik Anderka; Benno Stein 001; Nedim Lipka (SIGIR, 2012)

Cluster-based one-class ensemble for classification problems in information retrieval. - Nedim Lipka; Benno Stein 001; Maik Anderka (SIGIR, 2012)

Modeling Non-Standard Text Classification Tasks. - Nedim Lipka (2013)

An Aspect-driven Social Media Explorer. - Nedim Lipka; W. Bruce Croft (SIGIR, 2015)

Topical Sequence Profiling. - Tim Gollub; Nedim Lipka; Eunyee Koh; Erdan Genc; Benno Stein 001 (DEXA Workshops, 2016)

Purchase Influence Mining: Identifying Top-k Items Attracting Purchase of Target Item. - Sungchul Kim; Jinyoung Yeo; Eunyee Koh; Nedim Lipka (WWW (Companion Volume), 2016)

Browsing2purchase: Online Customer Model for Sales Forecasting in an E-Commerce Site. - Jinyoung Yeo; Sungchul Kim; Eunyee Koh; Seung-won Hwang; Nedim Lipka (WWW (Companion Volume), 2016)

Predicting Online Purchase Conversion for Retargeting. - Jinyoung Yeo; Sungchul Kim; Eunyee Koh; Seung-won Hwang; Nedim Lipka (WSDM, 2017)

WimNet: Vision Search for Web Logs. - Sungchul Kim; Sana Malik; Nedim Lipka; Eunyee Koh (WWW (Companion Volume), 2017)

A Simple End-to-End Question Answering Model for Product Information. - Tuan Manh Lai; Trung Bui; Sheng Li 001; Nedim Lipka (ECONLP@ACL, 2018)

Detecting Link and Landing Page Misalignment in Marketing Emails. - Nedim Lipka; Tak Yeon Lee; Eunyee Koh (DEXA Workshops, 2018)

Supervised Transfer Learning for Product Information Question Answering. - Tuan Manh Lai; Trung Bui; Nedim Lipka; Sheng Li 001 (ICMLA, 2018)

Pseudo Descriptions for Meta-Data Retrieval. - Tim Gollub; Erdan Genc; Nedim Lipka; Benno Stein 001 (ICTIR, 2018)

Task Proposal: The TL;DR Challenge. - Shahbaz Syed; Michael Völske; Martin Potthast; Nedim Lipka; Benno Stein 001; Hinrich Schütze (INLG, 2018)

Learning Emphasis Selection for Written Text in Visual Media from Crowd-Sourced Label Distributions. - Amirreza Shirani; Franck Dernoncourt; Paul Asente; Nedim Lipka; Seokhwan Kim; Jose Echevarria; Thamar Solorio (ACL (1), 2019)

Towards Summarization for Social Media - Results of the TL;DR Challenge. - Shahbaz Syed; Michael Völske; Nedim Lipka; Benno Stein 001; Hinrich Schütze; Martin Potthast (INLG, 2019)

Towards Open Intent Discovery for Conversational Text. - Nikhita Vedula; Nedim Lipka; Pranav Maneriker; Srinivasan Parthasarathy 001 (CoRR, 2019)

Let Me Choose: From Verbal Context to Font Selection. - Amirreza Shirani; Franck Dernoncourt; Jose Echevarria; Paul Asente; Nedim Lipka; Thamar Solorio (ACL, 2020)

ISA: An Intelligent Shopping Assistant. - Tuan Manh Lai; Trung Bui; Nedim Lipka (AACL/IJCNLP (System Demonstrations), 2020)

SemEval-2020 Task 10: Emphasis Selection for Written Text in Visual Media. - Amirreza Shirani; Franck Dernoncourt; Nedim Lipka; Paul Asente; Jose Echevarria; Thamar Solorio (SemEval@COLING, 2020)

Open Intent Extraction from Natural Language Interactions. - Nikhita Vedula; Nedim Lipka; Pranav Maneriker; Srinivasan Parthasarathy 001 (WWW, 2020)

Learning Contextualized Knowledge Structures for Commonsense Reasoning. - Jun Yan 012; Mrigank Raman; Tianyu Zhang; Ryan A. Rossi; Handong Zhao; Sungchul Kim; Nedim Lipka; Xiang Ren 001 (CoRR, 2020)

Conversion Prediction from Clickstream: Modeling Market Prediction and Customer Predictability. - Jinyoung Yeo; Seung-won Hwang; Sungchul Kim; Eunyee Koh; Nedim Lipka (IEEE Trans. Knowl. Data Eng., 2020)

Graph Neural Networks with Heterophily. - Jiong Zhu; Ryan A. Rossi; Anup Rao 002; Tung Mai; Nedim Lipka; Nesreen K. Ahmed; Danai Koutra (AAAI, 2021)

Syntopical Graphs for Computational Argumentation Tasks. - Joe Barrow; Rajiv Jain; Nedim Lipka; Franck Dernoncourt; Vlad I. Morariu; Varun Manjunatha; Douglas W. Oard; Philip Resnik; Henning Wachsmuth (ACL/IJCNLP (1), 2021)

PSED: A Dataset for Selecting Emphasis in Presentation Slides. - Amirreza Shirani; Giai Tran; Hieu Trinh; Franck Dernoncourt; Nedim Lipka; Jose Echevarria; Thamar Solorio; Paul Asente (ACL/IJCNLP (Findings), 2021)

Learning Contextualized Knowledge Structures for Commonsense Reasoning. - Jun Yan 012; Mrigank Raman; Aaron Chan; Tianyu Zhang; Ryan A. Rossi; Handong Zhao; Sungchul Kim; Nedim Lipka; Xiang Ren 001 (ACL/IJCNLP (Findings), 2021)

A Framework for Knowledge-Derived Query Suggestions. - Saed Rezayi; Nedim Lipka; Vishwa Vinay; Ryan A. Rossi; Franck Dernoncourt; Tracy Holloway King; Sheng Li 001 (IEEE BigData, 2021)

Developing a Conversational Recommendation Systemfor Navigating Limited Options. - Victor S. Bursztyn; Jennifer Healey; Eunyee Koh; Nedim Lipka; Larry Birnbaum (CHI Extended Abstracts, 2021)

"It doesn't look good for a date": Transforming Critiques into Preferences for Conversational Recommendation Systems. - Victor S. Bursztyn; Jennifer Healey; Nedim Lipka; Eunyee Koh; Doug Downey; Larry Birnbaum (EMNLP (1), 2021)

StreamHover: Livestream Transcript Summarization and Annotation. - Sangwoo Cho; Franck Dernoncourt; Tim Ganter; Trung Bui; Nedim Lipka; Walter Chang; Hailin Jin; Jonathan Brandt; Hassan Foroosh; Fei Liu 004 (EMNLP (1), 2021)

Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation. - Mrigank Raman; Aaron Chan; Siddhant Agarwal; Peifeng Wang; Hansen Wang; Sungchul Kim; Ryan A. Rossi; Handong Zhao; Nedim Lipka; Xiang Ren 001 (ICLR, 2021)

Open Intent Extraction from Natural Language Interactions (Extended Abstract). - Nikhita Vedula; Nedim Lipka; Pranav Maneriker; Srinivasan Parthasarathy 001 (IJCAI, 2021)

Edge: Enriching Knowledge Graph Embeddings with External Text. - Saed Rezayi; Handong Zhao; Sungchul Kim; Ryan A. Rossi; Nedim Lipka; Sheng Li 001 (NAACL-HLT, 2021)

Exploring Conditional Text Generation for Aspect-Based Sentiment Analysis. - Siva Uday Sampreeth Chebolu; Franck Dernoncourt; Nedim Lipka; Thamar Solorio (PACLIC, 2021)

Learning to Emphasize: Dataset and Shared Task Models for Selecting Emphasis in Presentation Slides. - Amirreza Shirani; Giai Tran; Hieu Trinh; Franck Dernoncourt; Nedim Lipka; Paul Asente; Jose Echevarria; Thamar Solorio (CoRR, 2021)

Developing a Conversational Recommendation System for Navigating Limited Options. - Victor S. Bursztyn; Jennifer Healey; Eunyee Koh; Nedim Lipka; Larry Birnbaum (CoRR, 2021)

An Interpretable Graph Generative Model with Heterophily. - Sudhanshu Chanpuriya; Ryan A. Rossi; Anup B. Rao; Tung Mai; Nedim Lipka; Zhao Song 002; Cameron Musco (CoRR, 2021)

Online MAP Inference and Learning for Nonsymmetric Determinantal Point Processes. - Aravind Reddy; Ryan A. Rossi; Zhao Song 002; Anup B. Rao; Tung Mai; Nedim Lipka; Gang Wu 013; Eunyee Koh; Nesreen K. Ahmed (CoRR, 2021)

Secure and Efficient Agreement Signing Atop Blockchain and Decentralized Identity. - Songlin He; Tong Sun 005; Qiang Tang 005; Chase Wu; Nedim Lipka; Curtis Wigington; Rajiv Jain (BlockSys, 2022)

One-Pass Algorithms for MAP Inference of Nonsymmetric Determinantal Point Processes. - Aravind Reddy; Ryan A. Rossi; Zhao Song 002; Anup B. Rao; Tung Mai; Nedim Lipka; Gang Wu 013; Eunyee Koh; Nesreen K. Ahmed (ICML, 2022)

Task-Oriented Near-Lossless Burst Compression. - Weixin Jiang; Gang Wu 013; Viswanathan Swaminathan 001; Stefano Petrangeli; Haoliang Wang; Ryan A. Rossi; Nedim Lipka (ISM, 2022)

Survey of Aspect-based Sentiment Analysis Datasets. - Siva Uday Sampreeth Chebolu; Franck Dernoncourt; Nedim Lipka; Thamar Solorio (CoRR, 2022)

Graph Learning with Localized Neighborhood Fairness. - April Chen; Ryan A. Rossi; Nedim Lipka; Jane Hoffswell; Gromit Chan; Shunan Guo; Eunyee Koh; Sungchul Kim; Nesreen K. Ahmed (CoRR, 2022)

A Hypergraph Neural Network Framework for Learning Hyperedge-Dependent Node Embeddings. - Ryan Aponte; Ryan A. Rossi; Shunan Guo; Jane Hoffswell; Nedim Lipka; Chang Xiao; Gromit Chan; Eunyee Koh; Nesreen K. Ahmed (CoRR, 2022)

Envisioning the Next-Gen Document Reader. - Catherine Yeh; Nedim Lipka; Franck Dernoncourt (SDU@AAAI, 2023)

How Small Businesses Transform PDF Agreements into Action. - Jianna So; Nedim Lipka; Alexa F. Siu; Ryan A. Rossi; Franck Dernoncourt (CSCW Companion, 2023)

Computable Contracts by Extracting Obligation Logic Graphs. - Sergio Servantez; Nedim Lipka; Alexa F. Siu; Milan Aggarwal; Balaji Krishnamurthy; Aparna Garimella; Kristian J. Hammond; Rajiv Jain (ICAIL, 2023)

Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs. - Sudhanshu Chanpuriya; Ryan A. Rossi; Sungchul Kim; Tong Yu 001; Jane Hoffswell; Nedim Lipka; Shunan Guo; Cameron Musco (ICLR, 2023)

A Review of Datasets for Aspect-based Sentiment Analysis. - Siva Uday Sampreeth Chebolu; Franck Dernoncourt; Nedim Lipka; Thamar Solorio (IJCNLP (1), 2023)

Exact Representation of Sparse Networks with Symmetric Nonnegative Embeddings. - Sudhanshu Chanpuriya; Ryan A. Rossi; Anup B. Rao; Tung Mai; Nedim Lipka; Zhao Song 002; Cameron Musco (NeurIPS, 2023)

TaleStream: Supporting Story Ideation with Trope Knowledge. - Jean-Peïc Chou; Alexa Fay Siu; Nedim Lipka; Ryan A. Rossi; Franck Dernoncourt; Maneesh Agrawala (UIST, 2023)

A ML-based Approach for HTML-based Style Recommendation. - Ryan Aponte; Ryan A. Rossi; Shunan Guo; Jane Hoffswell; Nedim Lipka; Chang Xiao; Gromit Yeuk-Yin Chan; Eunyee Koh; Nesreen K. Ahmed (WWW (Companion Volume), 2023)

LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding. - Yanzhe Zhang; Ruiyi Zhang 002; Jiuxiang Gu; Yufan Zhou 001; Nedim Lipka; Diyi Yang; Tong Sun 005 (CoRR, 2023)

OATS: Opinion Aspect Target Sentiment Quadruple Extraction Dataset for Aspect-Based Sentiment Analysis. - Siva Uday Sampreeth Chebolu; Franck Dernoncourt; Nedim Lipka; Thamar Solorio (CoRR, 2023)

Leveraging Graph Diffusion Models for Network Refinement Tasks. - Puja Trivedi; Ryan A. Rossi; David Arbour; Tong Yu 001; Franck Dernoncourt; Sungchul Kim; Nedim Lipka; Namyong Park; Nesreen K. Ahmed; Danai Koutra (CoRR, 2023)

Knowledge Graph Prompting for Multi-Document Question Answering. - Yu Wang 160; Nedim Lipka; Ryan A. Rossi; Alexa F. Siu; Ruiyi Zhang 002; Tyler Derr (AAAI, 2024)

Marco: Supporting Business Document Workflows via Collection-Centric Information Foraging with Large Language Models. - Raymond Fok; Nedim Lipka; Tong Sun 005; Alexa F. Siu (CHI, 2024)

Thinking Outside the Box: Non-Designer Perspectives and Recommendations for Template-Based Graphic Design Tools. - Farnaz Nouraei; Alexa F. Siu; Ryan A. Rossi; Nedim Lipka (CHI Extended Abstracts, 2024)

Topology-aware Retrieval Augmentation for Text Generation. - Yu Wang 160; Nedim Lipka; Ruiyi Zhang 002; Alexa F. Siu; Yuying Zhao; Bo Ni; Xin Wang 061; Ryan A. Rossi; Tyler Derr (CIKM, 2024)

OATS: A Challenge Dataset for Opinion Aspect Target Sentiment Joint Detection for Aspect-Based Sentiment Analysis. - Siva Uday Sampreeth Chebolu; Franck Dernoncourt; Nedim Lipka; Thamar Solorio (LREC/COLING, 2024)

Editing Partially Observable Networks via Graph Diffusion Models. - Puja Trivedi; Ryan A. Rossi; David Arbour; Tong Yu 001; Franck Dernoncourt; Sungchul Kim; Nedim Lipka; Namyong Park; Nesreen K. Ahmed; Danai Koutra (ICML, 2024)

Supporting Business Document Workflows via Collection-Centric Information Foraging with Large Language Models. - Raymond Fok; Nedim Lipka; Tong Sun 005; Alexa F. Siu (CoRR, 2024)

Augmenting Textual Generation via Topology Aware Retrieval. - Yu Wang 160; Nedim Lipka; Ruiyi Zhang 002; Alexa F. Siu; Yuying Zhao; Bo Ni; Xin Wang 061; Ryan A. Rossi; Tyler Derr (CoRR, 2024)

ROAST: Review-level Opinion Aspect Sentiment Target Joint Detection. - Siva Uday Sampreeth Chebolu; Franck Dernoncourt; Nedim Lipka; Thamar Solorio (CoRR, 2024)

LongLaMP: A Benchmark for Personalized Long-form Text Generation. - Ishita Kumar; Snigdha Viswanathan; Sushrita Yerra; Alireza Salemi; Ryan A. Rossi; Franck Dernoncourt; Hanieh Deilamsalehy; Xiang Chen; Ruiyi Zhang 002; Shubham Agarwal 007; Nedim Lipka; Hamed Zamani (CoRR, 2024)

KaPQA: Knowledge-Augmented Product Question-Answering. - Swetha Eppalapally; Daksh Dangi; Chaithra Bhat; Ankita Gupta; Ruiyi Zhang 002; Shubham Agarwal 007; Karishma Bagga; Seunghyun Yoon 002; Nedim Lipka; Ryan A. Rossi; Franck Dernoncourt (CoRR, 2024)

A Framework for Fine-Tuning LLMs using Heterogeneous Feedback. - Ryan Aponte; Ryan A. Rossi; Shunan Guo; Franck Dernoncourt; Tong Yu 001; Xiang Chen; Subrata Mitra; Nedim Lipka (CoRR, 2024)

A Multi-LLM Debiasing Framework. - Deonna M. Owens; Ryan A. Rossi; Sungchul Kim; Tong Yu 001; Franck Dernoncourt; Xiang Chen; Ruiyi Zhang 002; Jiuxiang Gu; Hanieh Deilamsalehy; Nedim Lipka (CoRR, 2024)

VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use. - Zhehao Zhang 001; Ryan A. Rossi; Tong Yu 001; Franck Dernoncourt; Ruiyi Zhang 002; Jiuxiang Gu; Sungchul Kim; Xiang Chen; Zichao Wang 001; Nedim Lipka (CoRR, 2024)

A Survey of Small Language Models. - Chien Van Nguyen; Xuan Shen; Ryan Aponte; Yu Xia 007; Samyadeep Basu; Zhengmian Hu; Jian Chen 043; Mihir Parmar; Sasidhar Kunapuli; Joe Barrow; Junda Wu; Ashish Singh; et al. (CoRR, 2024)

Survey of User Interface Design and Interaction Techniques in Generative AI Applications. - Reuben Luera; Ryan A. Rossi; Alexa F. Siu; Franck Dernoncourt; Tong Yu 001; Sungchul Kim; Ruiyi Zhang 002; Xiang Chen; Hanieh Salehy; Jian Zhao 010; Samyadeep Basu; Puneet Mathur; et al. (CoRR, 2024)

DynaSaur: Large Language Agents Beyond Predefined Actions. - Dang Nguyen; Viet Dac Lai; Seunghyun Yoon 002; Ryan A. Rossi; Handong Zhao; Ruiyi Zhang 002; Puneet Mathur; Nedim Lipka; Yu Wang 160; Trung Bui; Franck Dernoncourt; Tianyi Zhou 001 (CoRR, 2024)

Optimizing Data Delivery: Insights from User Preferences on Visuals, Tables, and Text. - Reuben Luera; Ryan A. Rossi; Franck Dernoncourt; Alexa F. Siu; Sungchul Kim; Tong Yu 001; Ruiyi Zhang 002; Xiang Chen; Nedim Lipka; Zhehao Zhang 001; Seon Gyeom Kim; Tak Yeon Lee (CoRR, 2024)

Personalized Multimodal Large Language Models: A Survey. - Junda Wu; Hanjia Lyu; Yu Xia 007; Zhehao Zhang 001; Joe Barrow; Ishita Kumar; Mehrnoosh Mirtaheri; Hongjie Chen 003; Ryan A. Rossi; Franck Dernoncourt; Tong Yu 001; Ruiyi Zhang 002; et al. (CoRR, 2024)

Multi-LLM Text Summarization. - Jiangnan Fang; Cheng-Tse Liu; Jieun Kim; Yash Bhedaru; Ethan Liu; Nikhil Singh 011; Nedim Lipka; Puneet Mathur; Nesreen K. Ahmed; Franck Dernoncourt; Ryan A. Rossi; Hanieh Deilamsalehy (CoRR, 2024)

Mixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge Bases. - Yongjia Lei; Haoyu Han 001; Ryan A. Rossi; Franck Dernoncourt; Nedim Lipka; Mahantesh M. Halappanavar; Jiliang Tang; Yu Wang 160 (ACL (Findings), 2025)

ChartLens: Fine-grained Visual Attribution in Charts. - Manan Suri; Puneet Mathur; Nedim Lipka; Franck Dernoncourt; Ryan A. Rossi; Dinesh Manocha (ACL (1), 2025)

From Selection to Generation: A Survey of LLM-based Active Learning. - Yu Xia 007; Subhojyoti Mukherjee; Zhouhang Xie; Junda Wu; Xintong Li 001; Ryan Aponte; Hanjia Lyu; Joe Barrow; Hongjie Chen 003; Franck Dernoncourt; Branislav Kveton; Tong Yu 001; et al. (ACL (1), 2025)

DocVoyager: Anticipating User's Information Needs and Guiding Document Reading through Question Answering. - Yoonjoo Lee; Nedim Lipka; Zichao Wang 001; Ryan A. Rossi; Puneet Mathur; Tong Sun 005; Alexa F. Siu (CHI Extended Abstracts, 2025)

MoDS: Moderating a Mixture of Document Speakers to Summarize Debatable Queries in Document Collections. - Nishant Balepur; Alexa F. Siu; Nedim Lipka; Franck Dernoncourt; Tong Sun 005; Jordan Lee Boyd-Graber; Puneet Mathur (NAACL (Long Papers), 2025)

Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes. - Isabel O. Gallegos; Ryan Aponte; Ryan A. Rossi; Joe Barrow; Md. Mehrab Tanjim; Tong Yu 001; Hanieh Deilamsalehy; Ruiyi Zhang 002; Sungchul Kim; Franck Dernoncourt; Nedim Lipka; Deonna M. Owens; et al. (NAACL (Short Papers), 2025)

Personalizing Data Delivery: Investigating User Characteristics and Enhancing LLM Predictions. - Reuben Luera; Ryan A. Rossi; Franck Dernoncourt; Alexa F. Siu; Sungchul Kim; Tong Yu 001; Ruiyi Zhang 002; Xiang Chen; Nedim Lipka; Zhehao Zhang 001; Seon Gyeom Kim; Tak Yeon Lee (WWW (Companion Volume), 2025)

Personalization of Large Language Models: A Survey. - Zhehao Zhang 001; Ryan A. Rossi; Branislav Kveton; Yijia Shao; Diyi Yang; Hamed Zamani; Franck Dernoncourt; Joe Barrow; Tong Yu 001; Sungchul Kim; Ruiyi Zhang 002; Jiuxiang Gu; et al. (Trans. Mach. Learn. Res., 2025)

Document Attribution: Examining Citation Relationships using Large Language Models. - Vipula Rawte; Ryan A. Rossi; Franck Dernoncourt; Nedim Lipka (CoRR, 2025)

Follow the Flow: Fine-grained Flowchart Attribution with Neurosymbolic Agents. - Manan Suri; Puneet Mathur; Nedim Lipka; Franck Dernoncourt; Ryan A. Rossi; Vivek Gupta; Dinesh Manocha (CoRR, 2025)

Quantitative LLM Judges. - Aishwarya Sahoo; Jeevana Kruthi Karnuthala; Tushar Parmanand Budhwani; Pranchal Agarwal; Sankaran Vaidyanathan; Alexa F. Siu; Franck Dernoncourt; Jennifer Healey; Nedim Lipka; Ryan A. Rossi; Uttaran Bhattacharya; Branislav Kveton (CoRR, 2025)

LaMP-Cap: Personalized Figure Caption Generation With Multimodal Figure Profiles. - Ho Yin Sam Ng; Ting-Yao Hsu; Aashish Anantha Ramakrishnan; Branislav Kveton; Nedim Lipka; Franck Dernoncourt; Dongwon Lee 001; Tong Yu 001; Sungchul Kim; Ryan A. Rossi; Ting-Hao Kenneth Huang (CoRR, 2025)

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality. - Mohamed Elmoghany; Ryan A. Rossi; Seunghyun Yoon 002; Subhojyoti Mukherjee; Eslam Mohamed Bakr; Puneet Mathur; Gang Wu 013; Viet Dac Lai; Nedim Lipka; Ruiyi Zhang 002; Varun Manjunatha; Chien Van Nguyen; et al. (CoRR, 2025)