Eric Horvitz

Chief Scientific Officer

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论文与出版物

Eric Horvitz

论文与出版物

Media Integrity and Authentication: Status, Directions, and Futures

New Future of Work Report 2025

The Collaboration Gap

Magentic Marketplace: An Open-Source Environment for Studying Agentic Markets

Tracing the Traces: Latent Temporal Signals for Efficient and Accurate Reasoning

Strengthening nucleic acid biosecurity screening against generative protein design tools

CancerGUIDE: Cancer Guideline Understanding via Internal Disagreement Estimation

Sequential Diagnosis with Language Models

Navigating Rifts in Human-LLM Grounding: Study and Benchmark

Rapid and accurate prediction of protein homo-oligomer symmetry using Seq2Symm

Toward AI-Resilient Screening of Nucleic Acid Synthesis Orders: Process, Results, and Recommendations

Challenges in Human-Agent Communication

Food Choice Mimicry on a Large University Campus

From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond

Improving Instruction-Following in Language Models through Activation Steering

“Is This It?”: Towards Ecologically Valid Benchmarks for Situated Collaboration

Measuring and shaping the nutritional environment via food sales logs: case studies of campus-wide food choice and a call to action

MedFuzz: Exploring the Robustness of Large Language Models in Medical Question Answering

Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming

Will AI accelerate or delay the race to net-zero emissions?

AI-Powered Reminders for Collaborative Tasks: Experiences and Futures

When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming

Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine

The Rise of the AI Co-Pilot: Lessons for Design from Aviation and Beyond

Benchmarking Spatial Relationships in Text-to-Image Generation

Sparks of Artificial General Intelligence: Early experiments with GPT-4

Capabilities of GPT-4 on Medical Challenge Problems

Disparate Impacts on Online Information Access during the COVID-19 Pandemic

Continual Learning about Objects in the Wild: An Interactive Approach

Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical Imaging

Bursting Scientific Filter Bubbles: Boosting Innovation Via Novel Author Discovery

Computational Lens on Cognition: Study of Autobiographical Versus Imagined Stories with Large-Scale Language Models

Formation of Social Ties Predicts Food Choice: A Campus-wide Longitudinal Study

Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature

AMP: Authentication of Media via Provenance

Understanding Failures of Deep Networks via Robust Feature Extraction

Exploiting structured data for learning contagious diseases under incomplete testing

Platform for Situated Intelligence

Extracting a Knowledge Base of Mechanisms from COVID-19 Papers

Population-Scale Study of Human Needs During the COVID-19 Pandemic: Analysis and Implications

Is the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork

Learning to Complement Humans

Multi-Stakeholder Media Provenance Management to Counter Synthetic Media Risks in News Publishing

An Empirical Analysis of Backward Compatibility in Machine Learning Systems

PACT: Privacy-Sensitive Protocols And Mechanisms for Mobile Contact Tracing

SQuINTing at VQA Models: Introspecting VQA Models with Sub-Questions

Configuring Audiences: A Case Study of Email Communication

PACT: Privacy-Sensitive Protocols And Mechanisms for Mobile Contact Tracing (TR)

Characterizing Search-Engine Traffic to Internet Research Agency Web Properties

Now, Over Here: Leveraging Extended Attentional Capabilities in Human-Robot Interaction.

Metareasoning in Modular Software Systems: On-the-Fly Configuration using Reinforcement Learning with Rich Contextual Representations

Recollection versus Imagination: Exploring Human Memory and Cognition via Neural Language Models

Efficient Forward Architecture Search

Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting

Staying up to Date with Online Content Changes Using Reinforcement Learning for Scheduling

Beyond Accuracy: The Role of Mental Models in Human-AI Team Performance

Optimal Freshness Crawl Under Politeness Constraints

Situated Interaction overview

Guidelines for Human-AI Interaction

Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution

Updates in Human-AI Teams: Understanding and Addressing the Performance/Compatibility Tradeoff

Traffic Updates: Saying a Lot While Revealing a Little

Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure

Discovering Blind Spots in Reinforcement Learning

Optimizing Interventions via Offline Policy Evaluation: Studies in Citizen Science

Estimating Accuracy from Unlabeled Data: A Probabilistic Logic Approach

Wi-Fly: Widespread Opportunistic Connectivity via Commercial Air Transport

Geographic and Temporal Trends in Fake News Consumption During the 2016 US Presidential Election

A study in scene shaping: Adjusting F-formations in the wild

What Went Wrong and Why? Diagnosing Situated Interaction Failures in the Wild

Risk-Aware Planning: Methods and Case Study on Safe Driving Routes

Harnessing the Web for Population-Scale Physiological Sensing: A Case Study of Sleep and Performance

On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems.

Identifying Unknown Unknowns in the Open World: Representations and Policies for Guided Exploration

On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems

Predicting Travel Time Reliability using Mobile Phone GPS Data

Evaluation of the Feasibility of Screening Patients for Early Signs of Lung Carcinoma inWeb Search Logs

Identifying Dogmatism in Social Media: Signals and Models

Patient Risk Stratiï¬cation with Time-Varying Parameters: A Multitask Learning Approach