David S. Rosenberg

24 papers A* 3A 4Misc 1Journal 11Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Evaluating the Retrieval Robustness of Large Language Models. CoRR Shuyang Cao, Karthik Radhakrishnan, David S. Rosenberg, Steven Lu, Pengxiang Cheng, Lu Wang, Shiyue Zhang
2025	—	`conf`	Understanding and Mitigating Risks of Generative AI in Financial Services. FAccT Sebastian Gehrmann, Claire Huang, Xian Teng, Sergei Yurovski, Arjun Bhorkar, Naveen Thomas, John A. Doucette, David S. Rosenberg, Mark Dredze, David Rabinowitz
2025	J	`jnl`	Understanding and Mitigating Risks of Generative AI in Financial Services. CoRR Sebastian Gehrmann, Claire Huang, Xian Teng, Sergei Yurovski, Iyanuoluwa Shode, Chirag S. Patel, Arjun Bhorkar, Naveen Thomas, John A. Doucette, David S. Rosenberg, Mark Dredze, David Rabinowitz
2024	A*	`conf`	Academics Can Contribute to Domain-Specialized Language Models. EMNLP Mark Dredze, Genta Indra Winata, Prabhanjan Kambadur, Shijie Wu, Ozan Irsoy, Steven Lu, Vadim Dabravolski, David S. Rosenberg, Sebastian Gehrmann
2023	J	`jnl`	BloombergGPT: A Large Language Model for Finance. CoRR Shijie Wu, Ozan Irsoy, Steven Lu, Vadim Dabravolski, Mark Dredze, Sebastian Gehrmann, Prabhanjan Kambadur, David S. Rosenberg, Gideon Mann
2023	—	`conf`	MixCE: Training Autoregressive Language Models by Mixing Forward and Reverse Cross-Entropies. ACL (1) Shiyue Zhang, Shijie Wu, Ozan Irsoy, Steven Lu, Mohit Bansal, Mark Dredze, David S. Rosenberg
2023	J	`jnl`	MixCE: Training Autoregressive Language Models by Mixing Forward and Reverse Cross-Entropies. CoRR Shiyue Zhang, Shijie Wu, Ozan Irsoy, Steven Lu, Mohit Bansal, Mark Dredze, David S. Rosenberg
2021	—	`conf`	Dual Reinforcement-Based Specification Generation for Image De-Rendering. SDU@AAAI Ramakanth Pasunuru, David S. Rosenberg, Gideon Mann, Mohit Bansal
2021	J	`jnl`	Dual Reinforcement-Based Specification Generation for Image De-Rendering. CoRR Ramakanth Pasunuru, David S. Rosenberg, Gideon Mann, Mohit Bansal
2019	A	`conf`	Challenges in End-to-End Neural Scientific Table Recognition. ICDAR Yuntian Deng, David S. Rosenberg, Gideon Mann
2019	Misc	`conf`	Visual Attention Model for Cross-Sectional Stock Return Prediction and End-to-End Multimodal Market Representation Learning. FLAIRS Ran Zhao, Yuntian Deng, Mark Dredze, Arun Verma, David S. Rosenberg, Amanda Stent
2018	—	`conf`	Adaptive Grey-Box Fuzz-Testing with Thompson Sampling. AISec@CCS Siddharth Karamcheti, Gideon Mann, David S. Rosenberg
2018	J	`jnl`	Adaptive Grey-Box Fuzz-Testing with Thompson Sampling. CoRR Siddharth Karamcheti, Gideon Mann, David S. Rosenberg
2018	J	`jnl`	Improving Grey-Box Fuzzing by Modeling Program Behavior. CoRR Siddharth Karamcheti, Gideon Mann, David S. Rosenberg
2018	J	`jnl`	Visual Attention Model for Cross-sectional Stock Return Prediction and End-to-End Multimodal Market Representation Learning. CoRR Ran Zhao, Yuntian Deng, Mark Dredze, Arun Verma, David S. Rosenberg, Amanda Stent
2017	—	`conf`	Scatteract: Automated Extraction of Data from Scatter Plots. ECML/PKDD (1) Mathieu Cliche, David S. Rosenberg, Dhruv Madeka, Connie Yee
2017	J	`jnl`	Scatteract: Automated extraction of data from scatter plots. CoRR Mathieu Cliche, David S. Rosenberg, Dhruv Madeka, Connie Yee
2015	A*	`conf`	Collaborative Place Models. IJCAI Berk Kapicioglu, David S. Rosenberg, Robert E. Schapire, Tony Jebara
2014	A	`conf`	Collaborative Ranking for Local Preferences. AISTATS Berk Kapicioglu, David S. Rosenberg, Robert E. Schapire, Tony Jebara
2012	J	`jnl`	Mixture-of-Parents Maximum Entropy Markov Models CoRR David S. Rosenberg, Dan Klein, Ben Taskar
2009	J	`jnl`	Multiview point cloud kernels for semisupervised learning [Lecture Notes]. IEEE Signal Process. Mag. David S. Rosenberg, Vikas Sindhwani, Peter L. Bartlett, Partha Niyogi
2008	A*	`conf`	An RKHS for multi-view learning and manifold co-regularization. ICML Vikas Sindhwani, David S. Rosenberg
2007	A	`conf`	Mixture-of-Parents Maximum Entropy Markov Models. UAI David S. Rosenberg, Dan Klein, Ben Taskar
2007	A	`conf`	The Rademacher Complexity of Co-Regularized Kernel Classes. AISTATS David S. Rosenberg, Peter L. Bartlett