• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 1,247 matches

• 2024
• 
  Constantin Kleinbeck, Han Zhang, Benjamin D. Killeen, Daniel Roth, Mathias Unberath:
  Neural digital twins: reconstructing complex medical environments for spatial planning in virtual reality. Int. J. Comput. Assist. Radiol. Surg. 19(7): 1301-1312 (2024)
• 
  Chen Shen, Holger R. Roth, Yuichiro Hayashi, Masahiro Oda, Gen Sato, Tadaaki Miyamoto, Daniel Rueckert, Kensaku Mori:
  Anatomical attention can help to segment the dilated pancreatic duct in abdominal CT. Int. J. Comput. Assist. Radiol. Surg. 19(4): 655-664 (2024)
• 
  Judith Friedl-Knirsch, Fabian Pointecker, S. Pfistermüller, Christian Stach, Christoph Anthes, Daniel Roth:
  A Systematic Literature Review of User Evaluation in Immersive Analytics. Comput. Graph. Forum 43(3) (2024)
• 
  Bonan Min, Hayley Ross, Elior Sulem, Amir Pouran Ben Veyseh, Thien Huu Nguyen, Oscar Sainz, Eneko Agirre, Ilana Heintz, Dan Roth:
  Recent Advances in Natural Language Processing via Large Pre-trained Language Models: A Survey. ACM Comput. Surv. 56(2): 30:1-30:40 (2024)
• 
  Hannah Schieber, Fabian Deuser, Bernhard Egger, Norbert Oswald, Daniel Roth:
  NeRFtrinsic Four: An end-to-end trainable NeRF jointly optimizing diverse intrinsic and extrinsic camera parameters. Comput. Vis. Image Underst. 249: 104206 (2024)
• 
  Hannah Schieber, Kubilay Can Demir, Constantin Kleinbeck, Seung Hee Yang, Daniel Roth:
  Indoor Synthetic Data Generation: A Systematic Review. Comput. Vis. Image Underst. 240: 103907 (2024)
• 
  Daniel A. Pienta, Jason Bennett Thatcher, Ryan T. Wright, Philip L. Roth:
  An Empirical Investigation of The Unintended Consequences of Vulnerability Assessments Leading to Betrayal. J. Assoc. Inf. Syst. 25(4): 2 (2024)
• 
  Kevin Xie, William K. S. Ojemann, Ryan S. Gallagher, Russell T. Shinohara, Alfredo Lucas, Chloe E. Hill, Roy H. Hamilton, Kevin B. Johnson, Dan Roth, Brian Litt, Colin A. Ellis:
  Disparities in seizure outcomes revealed by large language models. J. Am. Medical Informatics Assoc. 31(6): 1348-1355 (2024)
• 
  Roger J. Michaelides, Matthew R. Siegfried, Jonathan Lovekin, Karen Berry, Brandon Dugan, Danica L. Roth:
  Wildfire Progression Time Series Mapping With Interferometric Synthetic Aperture Radar (InSAR). IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024)
• 
  Judith Friedl-Knirsch, Christian Stach, Fabian Pointecker, Christoph Anthes, Daniel Roth:
  A Study on Collaborative Visual Data Analysis in Augmented Reality with Asymmetric Display Types. IEEE Trans. Vis. Comput. Graph. 30(5): 2633-2643 (2024)
• 
  Peter Baile Chen, Yi Zhang, Dan Roth:
  Is Table Retrieval a Solved Problem? Exploring Join-Aware Multi-Table Retrieval. ACL (1) 2024: 2687-2699
• 
  Aparna Elangovan, Ling Liu, Lei Xu, Sravan Babu Bodapati, Dan Roth:
  ConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation for Generative Large Language Models. ACL (1) 2024: 1137-1160
• 
  Shubhankar Singh, Purvi Chaurasia, Yerram Varun, Pranshu Pandya, Vatsal Gupta, Vivek Gupta, Dan Roth:
  FlowVQA: Mapping Multimodal Logic in Visual Question Answering with Flowcharts. ACL (Findings) 2024: 1330-1350
• 
  Pragya Srivastava, Manuj Malik, Vivek Gupta, Tanuja Ganu, Dan Roth:
  Evaluating LLMs' Mathematical Reasoning in Financial Document Question Answering. ACL (Findings) 2024: 3853-3878
• 
  Yangruibo Ding, Zijian Wang, Wasi Uddin Ahmad, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang:
  CoCoMIC: Code Completion by Jointly Modeling In-file and Cross-file Context. LREC/COLING 2024: 3433-3445
• 
  HyunJun Jung, Shun-Cheng Wu, Patrick Ruhkamp, Guangyao Zhai, Hannah Schieber, Giulia Rizzoli, Pengyuan Wang, Hongcheng Zhao, Lorenzo Garattoni, Daniel Roth, Sven Meier, Nassir Navab, Benjamin Busam:
  HouseCat6D - A Large-Scale Multi-Modal Category Level 6D Object Perception Dataset with Household Objects in Realistic Scenarios. CVPR 2024: 22498-22508
• 
  Christoph Reich, Oliver Hahn, Daniel Cremers, Stefan Roth, Biplob Debnath:
  A Perspective on Deep Vision Performance with Standard Image and Video Codecs. CVPR Workshops 2024: 5712-5721
• 
  Haoyu Wang, Hongming Zhang, Kaiqiang Song, Dong Yu, Dan Roth:
  Event Semantic Classification in Context. EACL (Findings) 2024: 1395-1407
• 
  Jan Behrendt, Alexander Busch, Dennis Günther, Alexander Rundau, Daniel Röthgen, Martina Grein, Dirk Reith:
  Transformation of an Extracurricular Project to a Student-Driven Academic Institution - Success Criteria and Benefits for Students and Faculty. EDUCON 2024: 1-5
• 
  Youngjin Kwon, Jason Bennett Thatcher, Philip L. Roth, Daniel A. Pienta:
  Unraveling the Dilemma of Stigma Disclosure: The Implications of Social Media and Stigma Discovery on Hiring. HICSS 2024: 6956-6966
• 
  Dan Graur, Remo Röthlisberger, Adrian Jenny, Ghislain Fourny, Filip Drozdowski, Choden Konigsmark, Ingo Müller, Gustavo Alonso:
  Addressing the Nested Data Processing Gap: JSONiq Queries on Snowflake Through Snowpark. ICDE 2024: 5252-5265
• 
  Dejiao Zhang, Wasi Uddin Ahmad, Ming Tan, Hantian Ding, Ramesh Nallapati, Dan Roth, Xiaofei Ma, Bing Xiang:
  Code Representation Learning at Scale. ICLR 2024
• 
  Hantian Ding, Zijian Wang, Giovanni Paolini, Varun Kumar, Anoop Deoras, Dan Roth, Stefano Soatto:
  Fewer Truncations Improve Language Modeling. ICML 2024
• 
  Sihao Chen, Hongming Zhang, Tong Chen, Ben Zhou, Wenhao Yu, Dian Yu, Baolin Peng, Hongwei Wang, Dan Roth, Dong Yu:
  Sub-Sentence Encoder: Contrastive Learning of Propositional Semantic Representations. NAACL-HLT 2024: 1596-1609
• 
  Hangfeng He, Hongming Zhang, Dan Roth:
  SocREval: Large Language Models with the Socratic Method for Reference-free Reasoning Evaluation. NAACL-HLT (Findings) 2024: 2736-2764
• 
  Bangzheng Li, Ben Zhou, Fei Wang, Xingyu Fu, Dan Roth, Muhao Chen:
  Deceptive Semantic Shortcuts on Reasoning Chains: How Far Can Models Go without Hallucination? NAACL-HLT 2024: 7675-7688
• 
  Chaitanya Malaviya, Subin Lee, Sihao Chen, Elizabeth Sieber, Mark Yatskar, Dan Roth:
  ExpertQA: Expert-Curated Questions and Attributed Answers. NAACL-HLT 2024: 3025-3045
• 
  Chaitanya Malaviya, Subin Lee, Dan Roth, Mark Yatskar:
  What if you said that differently?: How Explanation Formats Affect Human Feedback Efficacy and User Perception. NAACL-HLT 2024: 3046-3065
• 
  Xiaodong Yu, Hao Cheng, Xiaodong Liu, Dan Roth, Jianfeng Gao:
  ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks. NAACL-HLT (Findings) 2024: 1333-1351
• 
  Constantin Kleinbeck, Tobias Hassel, Julian Kreimeier, Daniel Roth:
  Augmented Reality Guidance for Numerical Control Program Setups. VR Workshops 2024: 747-748

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