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Paper Digest: NAACL 2025 Papers & Highlights
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The North American Chapter of the Association for Computational Linguistics (NAACL) is one of the top natural language processing conferences in the world. To help the community quickly catch up on the work presented in this conference, Paper Digest Team processed all accepted papers, and generated one highlight sentence (typically the main topic) for each paper. Readers are encouraged to read these machine generated highlights to quickly get the main idea of each paper.

Note: NAACL-2025 accepts more than 700 papers, this page only includes 500 of them selected by our daily paper digest algorithm. Interested users can choose to read All ~800 NAACL-2025 papers in a separate page, which takes quite some time to load.

To search for papers presented at NAACL-2025 on a specific topic, please make use of the search by venue (NAACL-2025) service. To summarize the latest research published at NAACL-2025 on a specific topic, you can utilize the review by venue (NAACL-2025) service. If you are interested in browsing papers by author, we have a comprehensive list of ~ 3,800 authors (NAACL-2025). Additionally, you may want to explore our "Best Paper" Digest (NAACL), which lists the most influential NAACL papers since 2000.

Paper Digest: WWW 2025 Papers & Highlights
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The Web Conference (WWW) is one of the top internet conferences in the world. To help the community quickly catch up on the work presented in this conference, Paper Digest Team processed all accepted papers, and generated one highlight sentence (typically the main topic) for each paper. Readers are encouraged to read these machine generated highlights to quickly get the main idea of each paper.

Interested users can choose to read All ~400 WWW-2025 papers in our digest console.

To search for papers presented at WWW-2025 on a specific topic, please make use of the search by venue (WWW-2025) service. To summarize the latest research published at WWW-2025 on a specific topic, you can utilize the review by venue (WWW-2025) service. If you are interested in browsing papers by author, we have a comprehensive list of ~ 2,200 authors (WWW-2025). Additionally, you may want to explore our "Best Paper" Digest (WWW), which lists the most influential WWW papers since 2001.

Paper Digest: ICLR 2025 Papers & Highlights
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The International Conference on Learning Representations (ICLR) is one of the top machine learning conferences in the world. In 2025, it is to be held in Singapore. To help the community quickly catch up on the work presented in this conference, Paper Digest Team processed all accepted papers, and generated one highlight sentence (typically the main topic) for each paper. Readers are encouraged to read these machine generated highlights to quickly get the main idea of each paper.

Note: ICLR-2025 accepts more than 3,700 papers, this page only includes 500 of them selected by our daily paper digest algorithm. Interested users can choose to read All 3,700 ICLR-2025 papers in a separate page, which takes quite some time to load.

To search for papers presented at ICLR-2025 on a specific topic, please make use of the search by venue (ICLR-2025) service. To summarize the latest research published at ICLR-2025 on a specific topic, you can utilize the review by venue (ICLR-2025) service. If you are interested in browsing papers by author, we have a comprehensive list of ~ 15,000 authors (ICLR-2025). Additionally, you may want to explore our "Best Paper" Digest (ICLR), which lists the most influential ICLR papers since 2018.

Most Influential ArXiv (Human-Computer Interaction) Papers (2025-03 Version)
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The field of Human-Computer Interaction in arXiv covers human factors, user interfaces, and collaborative computing. Roughly it includes material in ACM Subject Classes H.1.2 and all of H.5, except for H.5.1, which is more likely to have Multimedia as the primary subject area. Paper Digest Team analyzes all papers published in this field in the past years, and presents up to 30 most influential papers for each year. This ranking list is automatically constructed based upon citations from both research papers and granted patents, and will be frequently updated to reflect the most recent changes. To find the latest version of this list or the most influential papers from other conferences/journals, please visit Best Paper Digest page. Note: the most influential papers may or may not include the papers that won the best paper awards. (Version: 2025-03).

Most Influential ArXiv (Information Theory) Papers (2025-03 Version)
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The field of Information Theory in arXiv covers theoretical and experimental aspects of information theory and coding. It includes material in ACM Subject Class E.4 and intersects with H.1.1. Paper Digest Team analyzes all papers published in this field in the past years, and presents up to 30 most influential papers for each year. This ranking list is automatically constructed based upon citations from both research papers and granted patents, and will be frequently updated to reflect the most recent changes. To find the latest version of this list or the most influential papers from other conferences/journals, please visit Best Paper Digest page. Note: the most influential papers may or may not include the papers that won the best paper awards. (Version: 2025-03).

Most Influential ArXiv (Analysis of PDEs) Papers (2025-03 Version)
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The field of Analysis of PDEs in arXiv covers Existence and uniqueness, boundary conditions, linear and non-linear operators, stability, soliton theory, integrable PDE's, conservation laws, qualitative dynamics. Paper Digest Team analyzes all papers published in this field in the past years, and presents up to 30 most influential papers for each year. This ranking list is automatically constructed based upon citations from both research papers and granted patents, and will be frequently updated to reflect the most recent changes. To find the latest version of this list or the most influential papers from other conferences/journals, please visit Best Paper Digest page. Note: the most influential papers may or may not include the papers that won the best paper awards. (Version: 2025-03).

Most Influential ArXiv (Signal Processing) Papers (2025-03 Version)
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The field of Signal Processing in arXiv covers Theory, algorithms, performance analysis and applications of signal and data analysis, including physical modeling, processing, detection and parameter estimation, learning, mining, retrieval, and information extraction. The term "signal" includes speech, audio, sonar, radar, geophysical, physiological, (bio-) medical, image, video, and multimodal natural and man-made signals, including communication signals and data. Topics of interest include: statistical signal processing, spectral estimation and system identification; filter design, adaptive filtering / stochastic learning; (compressive) sampling, sensing, and transform-domain methods including fast algorithms; signal processing for machine learning and machine learning for signal processing applications; in-network and graph signal processing; convex and nonconvex optimization methods for signal processing applications; radar, sonar, and sensor array beamforming and direction finding; communications signal processing; low power, multi-core and system-on-chip signal processing; sensing, communication, analysis and optimization for cyber-physical systems such as power grids and the Internet of Things. Paper Digest Team analyzes all papers published in this field in the past years, and presents up to 30 most influential papers for each year. This ranking list is automatically constructed based upon citations from both research papers and granted patents, and will be frequently updated to reflect the most recent changes. To find the latest version of this list or the most influential papers from other conferences/journals, please visit Best Paper Digest page. Note: the most influential papers may or may not include the papers that won the best paper awards. (Version: 2025-03).

Most Influential ArXiv (Artificial Intelligence) Papers (2025-03 Version)
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The field of Artificial Intelligence in arXiv covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, it includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly it includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11. Paper Digest Team analyzes all papers published in this field in the past years, and presents up to 30 most influential papers for each year. This ranking list is automatically constructed based upon citations from both research papers and granted patents, and will be frequently updated to reflect the most recent changes. To find the latest version of this list or the most influential papers from other conferences/journals, please visit Best Paper Digest page. Note: the most influential papers may or may not include the papers that won the best paper awards. (Version: 2025-03).

Most Influential ArXiv (Information Retrieval) Papers (2025-03 Version)
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The field of Information Retrieval in arXiv covers indexing, dictionaries, retrieval, content and analysis. Roughly it includes material in ACM Subject Classes H.3.0, H.3.1, H.3.2, H.3.3, and H.3.4. Paper Digest Team analyzes all papers published in this field in the past years, and presents up to 30 most influential papers for each year. This ranking list is automatically constructed based upon citations from both research papers and granted patents, and will be frequently updated to reflect the most recent changes. To find the latest version of this list or the most influential papers from other conferences/journals, please visit Best Paper Digest page. Note: the most influential papers may or may not include the papers that won the best paper awards. (Version: 2025-03).

Most Influential ArXiv (Numerical Analysis) Papers (2025-03 Version)
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The field of Numerical Analysis in arXiv covers Numerical algorithms for problems in analysis and algebra, scientific computation. Paper Digest Team analyzes all papers published in this field in the past years, and presents up to 30 most influential papers for each year. This ranking list is automatically constructed based upon citations from both research papers and granted patents, and will be frequently updated to reflect the most recent changes. To find the latest version of this list or the most influential papers from other conferences/journals, please visit Best Paper Digest page. Note: the most influential papers may or may not include the papers that won the best paper awards. (Version: 2025-03).