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08/30/2023
Food Choice Mimicry on a Large University Campus
Social influence is a strong determinant of food consumption, which in t...
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07/06/2023
Frontier AI Regulation: Managing Emerging Risks to Public Safety
Advanced AI models hold the promise of tremendous benefits for humanity,...
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06/12/2023
Accurate Measures of Vaccination and Concerns of Vaccine Holdouts from Web Search Logs
To design effective vaccine policies, policymakers need detailed data ab...
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06/08/2023
When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming
AI powered code-recommendation systems, such as Copilot and CodeWhispere...
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04/26/2023
Evaluation of GPT-3.5 and GPT-4 for supporting real-world information needs in healthcare delivery
Despite growing interest in using large language models (LLMs) in health...
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03/29/2023
Ideal Abstractions for Decision-Focused Learning
We present a methodology for formulating simplifying abstractions in mac...
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03/22/2023
Sparks of Artificial General Intelligence: Early experiments with GPT-4
Artificial intelligence (AI) researchers have been developing and refini...
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03/20/2023
Capabilities of GPT-4 on Medical Challenge Problems
Large language models (LLMs) have demonstrated remarkable capabilities i...
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10/25/2022
Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming
AI code-recommendation systems (CodeRec), such as Copilot, can assist pr...
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09/05/2022
On the Horizon: Interactive and Compositional Deepfakes
Over a five-year period, computing methods for generating high-fidelity,...
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05/04/2022
A Computational Inflection for Scientific Discovery
We stand at the foot of a significant inflection in the trajectory of sc...
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10/18/2021
Ideal Partition of Resources for Metareasoning
We can achieve significant gains in the value of computation by metareas...
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08/31/2021
A Search Engine for Discovery of Scientific Challenges and Directions
Keeping track of scientific challenges, advances and emerging directions...
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08/19/2021
Key Considerations for the Responsible Development and Fielding of Artificial Intelligence
We review key considerations, practices, and areas for future work aimed...
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08/12/2021
Bursting Scientific Filter Bubbles: Boosting Innovation via Novel Author Discovery
Isolated silos of scientific research and the growing challenge of infor...
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06/25/2021
Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature
Information overload is a prevalent challenge in many high-value domains...
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03/29/2021
Platform for Situated Intelligence
We introduce Platform for Situated Intelligence, an open-source framewor...
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02/17/2021
Formation of Social Ties Influences Food Choice: A Campus-Wide Longitudinal Study
Nutrition is a key determinant of long-term health, and social influence...
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10/08/2020
Extracting a Knowledge Base of Mechanisms from COVID-19 Papers
The urgency of mitigating COVID-19 has spawned a large and diverse body ...
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08/17/2020
Population-Scale Study of Human Needs During the COVID-19 Pandemic: Analysis and Implications
Most work to date on mitigating the COVID-19 pandemic is focused urgentl...
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07/31/2020
From Data to Knowledge to Action: A Global Enabler for the 21st Century
A confluence of advances in the computer and mathematical sciences has u...
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05/20/2020
SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific search
The COVID-19 pandemic has sparked unprecedented mobilization of scientis...
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05/01/2020
Learning to Complement Humans
A rising vision for AI in the open world centers on the development of s...
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04/27/2020
Optimizing AI for Teamwork
In many high-stakes domains such as criminal justice, finance, and healt...
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04/07/2020
PACT: Privacy Sensitive Protocols and Mechanisms for Mobile Contact Tracing
The global health threat from COVID-19 has been controlled in a number o...
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01/22/2020
AMP: Authentication of Media via Provenance
Advances in graphics and machine learning have led to the general availa...
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01/20/2020
SQuINTing at VQA Models: Interrogating VQA Models with Sub-Questions
Existing VQA datasets contain questions with varying levels of complexit...
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06/23/2019
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting
A learned generative model often produces biased statistics relative to ...
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06/04/2019
A Case for Backward Compatibility for Human-AI Teams
AI systems are being deployed to support human decision making in high-s...
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05/31/2019
Efficient Forward Architecture Search
We propose a neural architecture search (NAS) algorithm, Petridish, to i...
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05/12/2019
Metareasoning in Modular Software Systems: On-the-Fly Configuration using Reinforcement Learning with Rich Contextual Representations
Assemblies of modular subsystems are being pressed into service to perfo...
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01/10/2019
Reverse-Engineering Satire, or "Paper on Computational Humor Accepted Despite Making Serious Advances"
Humor is an essential human trait. Efforts to understand humor have call...
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09/19/2018
Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure
As machine learning systems move from computer-science laboratories into...
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05/23/2018
Discovering Blind Spots in Reinforcement Learning
Agents trained in simulation may make errors in the real world due to mi...
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09/26/2017
Active Learning amidst Logical Knowledge
Structured prediction is ubiquitous in applications of machine learning ...
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07/13/2017
Advances in Artificial Intelligence Require Progress Across all of Computer Science
Advances in Artificial Intelligence require progress across all of compu...
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05/19/2017
Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach
We propose an efficient method to estimate the accuracy of classifiers u...
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10/28/2016
Identifying Unknown Unknowns in the Open World: Representations and Policies for Guided Exploration
Predictive models deployed in the real world may assign incorrect labels...
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09/16/2016
Long-Term Trends in the Public Perception of Artificial Intelligence
Analyses of text corpora over time can reveal trends in beliefs, interes...
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09/01/2016
Identifying Dogmatism in Social Media: Signals and Models
We explore linguistic and behavioral features of dogmatism in social med...
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05/03/2015
Metareasoning for Planning Under Uncertainty
The conventional model for online planning under uncertainty assumes tha...
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04/24/2015
Information Gathering in Networks via Active Exploration
How should we gather information in a network, where each node's visibil...
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04/22/2014
Stochastic Privacy
Online services such as web search and e-commerce applications typically...
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01/16/2014
A Utility-Theoretic Approach to Privacy in Online Services
Online offerings such as web search, news portals, and e-commerce applic...
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04/13/2013