Nedim Lipka

Nedim Lipka

Sr. Research Scientist

San Jose, CA

Dr. Nedim Lipka is a researcher in Natural Language Processing and Artificial Intelligence, currently serving as a Senior Research Scientist within the Document Intelligence Lab at Adobe Research, where he leads a group focused on agentic intelligence. His career has evolved from his previous role at Adobe’s Big Data Experience Lab, where he concentrated on statistical machine learning from web data, particularly user-generated content and behavior, and developed a passion for Natural Language Understanding in conversational services. Nedim’s academic foundation was laid at the Web Technology and Information Systems group at the Bauhaus-Universität Weimar, where he gained expertise in data mining, machine learning, and text classification.

Nedim’s research centers on agentic intelligence, exploring the creation of autonomous agents capable of intelligent behavior within document environments. This involves investigating areas such as autonomous document processing, intelligent assistants for document understanding, and agents that can execute tasks on complex document structures and semantics. Nedim’s publications in top-tier NLP and IR conferences can be found here, including a Best Paper Award at the Web Conference in 2020 for his work on open intent extraction.

Beyond his publications, Nedim holds multiple patents in NLP and AI, with recent examples covering areas such as graph neural networks, text summarization, multi-agent systems, attribution, and document understanding methodologies. He also actively engages with the research community by frequently serving on program committees and acting as an Area Chair for major NLP and IR conferences. His ongoing work in agentic intelligence and document understanding contributes to the advancement of intelligent systems for interacting with digital documents.

Publications

March 29, 2026 EACL 2026

A Survey on LLM-based Conversational User Simulation

Bo Ni, Yu Wang, Leyao Wang, Branislav Kveton, Franck Dernoncourt, Yu Xia, Hongjie Chen, Reuben Luera, Samyadeep Basu, Subhojyoti Mukherjee, Puneet Mathur, Nesreen K. Ahmed, Junda Wu, Li Li, Huixin Zhang, Ruiyi Zhang, Tong Yu, Sungchul Kim, Jiuxiang Gu, Zhengzhong Tu, Alexa Siu, Zichao Wang, David Seunghyun Yoon, Nedim Lipka, Namyong Park, Zihao Lin, Trung Bui, Yue Zhao, Tyler Derr, Ryan A. Rossi

October 20, 2025 ICCV 2025 LongVid Foundations Workshop

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality

Mohamed Elmoghany, Ryan A. Rossi, David Seunghyun Yoon, Subhojyoti Mukherjee, Eslam Bakr, Puneet Mathur, Gang Wu, Viet Dac Lai, Nedim Lipka, Ruiyi Zhang, Varun Manjunatha, Chien Nguyen, Daksh Dangi, Abel Salinas, Mohammad Taesiri, Hongjie Chen, Xiaolei Huang, Joe Barrow, Nesreen Ahmed, Hoda Eldardiry, Namyong Park, Yu Wang, Jaemin Cho, Anh Totti Nguyen, Zhengzhong Tu, Thien Nguyen, Dinesh Manocha, Mohamed Elhoseiny, Franck Dernoncourt

September 10, 2025 RANLP 2025

A Survey on Small Language Models

Chien Van Nguyen, Xuan Shen, Ryan Aponte, Yu Xia, Samyadeep Basu, Zhengmian Hu, Jian Chen, Mihir Parmar, Sasidhar Kunapuli, Joe Barrow, Junda Wu, Ashish Singh, Yu Wang, Jiuxiang Gu, Nesreen K. Ahmed, Nedim Lipka, Ruiyi Zhang, Xiang Chen, Tong Yu, Sungchul Kim, Hanieh Deilamsalehy, Namyong Park, Michael Rimer, Zhehao Zhang, Huanrui Yang, Puneet Mathur, Gang Wu, Franck Dernoncourt, Ryan A. Rossi, Thien Huu Nguyen

August 1, 2025 ACL 2025

From Selection to Generation: A Survey of LLM-based Active Learning

Yu Xia, Subhojyoti Mukherjee, Zhouhang Xie, Junda Wu, Xintong Li, Ryan Aponte, Hanjia Lyu, Joe Barrow, Hongjie Chen, Franck Dernoncourt, Branislav Kveton, Tong Yu, Ruiyi Zhang, Jiuxiang Gu, Nesreen K. Ahmed, Yu Wang, Xiang Chen, Hanieh Deilamsalehy, Sungchul Kim, Zhengmian Hu, Yue Zhao, Nedim Lipka, David Seunghyun Yoon, Ting-Hao Kenneth Huang, Zichao Wang, Puneet Mathur, Soumyabrata Pal, Koyel Mukherjee, Zhehao Zhang, Namyong Park, Thien Huu Nguyen, Jiebo Luo, Ryan A. Rossi, Julian McAuley