Chris Newell
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
10
Venues
7
Active years
2011–2025
Best venue rank
A*
Where they publish
Papers
10 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models. | Matt Deitke, Christopher Clark, Sangho Lee, Rohun Tripathi, Yue Yang, Jae Sung Park, Mohammadreza Salehi, Niklas Muennighoff, Kyle Lo, Luca Soldaini, Jiasen Lu, Taira Anderson, Erin Bransom, Kiana Ehsani, Huong Ngo, Yen-Sung Chen, Ajay Patel, Mark Yatskar, Chris Callison-Burch, Andrew Head, Rose Hendrix, Favyen Bastani, Eli VanderBilt, Nathan Lambert, Yvonne Chou, Arnavi Chheda, Jenna Sparks, Sam Skjonsberg, Michael Schmitz, Aaron Sarnat, Byron Bischoff, Pete Walsh, Chris Newell, Piper Wolters, Tanmay Gupta, Kuo-Hao Zeng, Jon Borchardt, Dirk Groeneveld, Crystal Nam, Sophie Lebrecht, Caitlin Wittlif, Carissa Schoenick, Oscar Michel, Ranjay Krishna, Luca Weihs, Noah A. Smith, Hannaneh Hajishirzi, Ross B. Girshick, Ali Farhadi, Aniruddha Kembhavi |
| 2024 | COLING | When Cohesion Lies in the Embedding Space: Embedding-Based Reference-Free Metrics for Topic Segmentation. | Iacopo Ghinassi, Lin Wang, Chris Newell, Matthew Purver |
| 2024 | EMNLP | Recent Trends in Linear Text Segmentation: A Survey. | Iacopo Ghinassi, Lin Wang, Chris Newell, Matthew Purver |
| 2023 | ISM | Semantic and Lexical Token Based Vectors Improve Precision of Recommendations for TV Programmes. | Taner Cagali, Hadi Wazni, Saba Nazir, Mehrnoosh Sadrzadeh, Chris Newell |
| 2023 | RANLP | Lessons Learnt from Linear Text Segmentation: a Fair Comparison of Architectural and Sentence Encoding Strategies for Successful Segmentation. | Iacopo Ghinassi, Lin Wang, Chris Newell, Matthew Purver |
| 2021 | ISM | Enhancing Personalised Recommendations with the Use of Multimodal Information. | Taner Cagali, Mehrnoosh Sadrzadeh, Chris Newell |
| 2020 | ISM | Audiovisual, Genre, Neural and Topical Textual Embeddings for TV Programme Content Representation. | Saba Nazir, Taner Cagali, Mehrnoosh Sadrzadeh, Chris Newell |
| 2015 | RecSys | Blockbusters and Wallflowers: Accurate, Diverse, and Scalable Recommendations with Random Walks. | Fabian Christoffel, Bibek Paudel, Chris Newell, Abraham Bernstein |
| 2013 | RecSys | Design and evaluation of a client-side recommender system. | Chris Newell, Libby Miller |
| 2011 | IJCAI | Keyword-Based TV Program Recommendation. | Christian Wartena, Wout Slakhorst, Martin Wibbels, Zeno Gantner, Christoph Freudenthaler, Chris Newell, Lars Schmidt-Thieme |