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GPT-4o is an autoregressive omni model that accepts as input any combination of text, audio, image, and video, and generates any combination of text, audio, and image outputs. It's trained end-to-end across text, vision, and audio, meaning all inputs
Externí odkaz:
http://arxiv.org/abs/2410.21276
Autor:
Kenny, Eoin M., Dharmavaram, Akshay, Lee, Sang Uk, Phan-Minh, Tung, Rajesh, Shreyas, Hu, Yunqing, Major, Laura, Tomov, Momchil S., Shah, Julie A.
Self-driving cars increasingly rely on deep neural networks to achieve human-like driving. However, the opacity of such black-box motion planners makes it challenging for the human behind the wheel to accurately anticipate when they will fail, with p
Externí odkaz:
http://arxiv.org/abs/2411.18714
Autor:
Downey, Jordan, Kenny, Avi
We describe the DISC (Different Individuals, Same Clusters) design, a sampling scheme that can improve the precision of difference-in-differences (DID) estimators in settings involving repeated sampling of a population at multiple time points. Althou
Externí odkaz:
http://arxiv.org/abs/2411.17905
The gold standard in human-AI collaboration is complementarity -- when combined performance exceeds both the human and algorithm alone. We investigate this challenge in binary classification settings where the goal is to maximize 0-1 accuracy. Given
Externí odkaz:
http://arxiv.org/abs/2411.15230
In the aftermath of the COVID-19 pandemic and amid accelerating climate change, emerging infectious diseases, particularly those arising from zoonotic spillover, remain a global threat. Mpox (caused by the monkeypox virus) is a notable example of a z
Externí odkaz:
http://arxiv.org/abs/2411.10888
Autor:
Peng, Kenny
We consider equilibrium one-on-one conversations between neighbors on a circular table, with the goal of assessing the likelihood of a (perhaps) familiar situation: sitting at a table where both of your neighbors are talking to someone else. When $n$
Externí odkaz:
http://arxiv.org/abs/2411.09716
Many open-ended conversations (e.g., tutoring lessons or business meetings) revolve around pre-defined reference materials, like worksheets or meeting bullets. To provide a framework for studying such conversation structure, we introduce Problem-Orie
Externí odkaz:
http://arxiv.org/abs/2411.07598
Autor:
Avenstrup, Thor Højhus, Elek, Boldizsár, Mádi, István László, Schin, András Bence, Mørup, Morten, Jensen, Bjørn Sand, Olsen, Kenny Falkær
Deep learning-based single-channel speaker separation has improved significantly in recent years largely due to the introduction of the transformer-based attention mechanism. However, these improvements come at the expense of intense computational de
Externí odkaz:
http://arxiv.org/abs/2410.20997
Autor:
Peng, Kenny, Grimmelmann, James
Social media has a misinformation problem, and counterspeech -- fighting bad speech with more speech -- has been an ineffective solution. Here, we argue that bridging-based ranking -- an algorithmic approach to promoting content favored by users of d
Externí odkaz:
http://arxiv.org/abs/2410.12699
Autor:
Chia, Xavier X., Ong, Kenny Y. K., Aadhi, A., Chen, George F. R., Choi, Ju Won, Sohn, Byoung-Uk, Chowdury, Amdad, Tan, Dawn T. H.
The perennial demand for highly efficient short-haul communications is evidenced by a sustained explosion of growth in data center infrastructure that is predicted to continue for the foreseeable future. In these relatively compact networks, cost-sen
Externí odkaz:
http://arxiv.org/abs/2410.08638