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  • All HBS Web  (3,559)
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    • News  (887)
    • Research  (2,016)
    • Events  (33)
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  • All HBS Web  (3,559)
    • People  (13)
    • News  (887)
    • Research  (2,016)
    • Events  (33)
    • Multimedia  (3)
  • Faculty Publications  (805)
← Page 2 of 3,559 Results →
  • Article

Faithful and Customizable Explanations of Black Box Models

By: Himabindu Lakkaraju, Ece Kamar, Rich Caruana and Jure Leskovec
As predictive models increasingly assist human experts (e.g., doctors) in day-to-day decision making, it is crucial for experts to be able to explore and understand how such models behave in different feature subspaces in order to know if and when to trust them. To... View Details
Keywords: Interpretable Machine Learning; Black Box Models; Decision Making; Framework
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Lakkaraju, Himabindu, Ece Kamar, Rich Caruana, and Jure Leskovec. "Faithful and Customizable Explanations of Black Box Models." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2019).
  • 2023
  • Article

Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset

By: Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu and Michael Lingzhi Li
Recent advancements in large language models (LLMs) have transformed the field of question answering (QA). However, evaluating LLMs in the medical field is challenging due to the lack of standardized and comprehensive datasets. To address this gap, we introduce CMExam,... View Details
Keywords: Large Language Model; AI and Machine Learning; Analytics and Data Science; Health Industry
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Liu, Junling, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu, and Michael Lingzhi Li. "Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 36 (2023).
  • 2024
  • Conference Paper

Quantifying Uncertainty in Natural Language Explanations of Large Language Models

By: Himabindu Lakkaraju, Sree Harsha Tanneru and Chirag Agarwal
Large Language Models (LLMs) are increasingly used as powerful tools for several high-stakes natural language processing (NLP) applications. Recent prompting works claim to elicit intermediate reasoning steps and key tokens that serve as proxy explanations for LLM... View Details
Keywords: Large Language Model; AI and Machine Learning
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Lakkaraju, Himabindu, Sree Harsha Tanneru, and Chirag Agarwal. "Quantifying Uncertainty in Natural Language Explanations of Large Language Models." Paper presented at the Society for Artificial Intelligence and Statistics, 2024.
  • January 2016 (Revised November 2018)
  • Case

Match Next: Next Generation Middle School?

By: John J-H Kim and Daniel Goldberg
This case is set in 2015 as a team at Match Education, a high performing charter middle school in Boston, explores new staffing and technology approaches in their quest to obtain what they term "jaw dropping" results. The team hopes to test and model for other schools... View Details
Keywords: General Management; K-12; Charter Schools; Public Schools; Edtech; Education; Information Technology; Management; Public Sector; Entrepreneurship; Education Industry; Boston
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Kim, John J-H, and Daniel Goldberg. "Match Next: Next Generation Middle School?" Harvard Business School Case 316-138, January 2016. (Revised November 2018.)
  • Web

Additional Harvard Funding | MBA

Additional Harvard Funding We complement our need-based Harvard Business School (HBS) Scholarships with a small number of other awards for students with specific backgrounds and interests. The majority of these awards are available to... View Details
  • 2022
  • Working Paper

TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations

By: Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju and Sameer Singh
Practitioners increasingly use machine learning (ML) models, yet they have become more complex and harder to understand. To address this issue, researchers have proposed techniques to explain model predictions. However, practitioners struggle to use explainability... View Details
Keywords: Natural Language Conversations; Predictive Models; AI and Machine Learning
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Slack, Dylan, Satyapriya Krishna, Himabindu Lakkaraju, and Sameer Singh. "TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations." Working Paper, 2022.
  • November–December 2023
  • Article

Keep Your AI Projects on Track

By: Iavor Bojinov
AI—and especially its newest star, generative AI—is today a central theme in corporate boardrooms, leadership discussions, and casual exchanges among employees eager to supercharge their productivity. Sadly, beneath the aspirational headlines and tantalizing potential... View Details
Keywords: Generative Models; AI and Machine Learning; Success; Failure; Product Development; Technology Adoption
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Bojinov, Iavor. "Keep Your AI Projects on Track." Harvard Business Review 101, no. 6 (November–December 2023): 53–59.
  • April 2000
  • Teaching Note

Patient Care Delivery Model at the Massachusetts General Hospital, The TN

By: Amy C. Edmondson, Richard M.J. Bohmer and Emily Heaphy
Teaching Note for (9-699-154). View Details
Keywords: Health Industry; Service Industry; Massachusetts
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Edmondson, Amy C., Richard M.J. Bohmer, and Emily Heaphy. "Patient Care Delivery Model at the Massachusetts General Hospital, The TN." Harvard Business School Teaching Note 600-083, April 2000.
  • 01 Dec 2010
  • News

Additional alumni books for your consideration.

The Corporate Lattice: Achieving High Performance in the Changing World of Work by Cathleen Benko (MBA ’89) and Molly Anderson (Harvard Business Review Press) The authors argue that a lattice model rather than the corporate ladder is... View Details
Keywords: Funds, Trusts, and Other Financial Vehicles; Finance
  • 1971
  • Working Paper

A Simple General Equilibrium Model of the Term Structure of Interest Rates

By: Jerry R. Green
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Green, Jerry R. "A Simple General Equilibrium Model of the Term Structure of Interest Rates." Harvard Institute of Economic Research Discussion Paper, No. 183, January 1971.
  • Web

Additional Archives - Creating Emerging Markets

Additional Archives Asia Godrej Archives The Godrej Archives features manuscripts, photographs, memorabilia, printed material, and a large oral history collection documenting the history of the Godrej Group. The archive spans over 100... View Details
  • 2015
  • Chapter

Reliable Sustainability Ratings: The Influence of Business Models on Information Intermediaries

By: Robert G. Eccles, Jock Herron and George Serafeim
A new generation of corporate reporting—integrated reporting—is emerging that will help investors and other key stakeholders such as employees, customers, suppliers, and NGOs develop a deeper and more comprehensive appreciation of corporate performance than what is... View Details
Keywords: Sustainability; Business Models; Business Model
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Eccles, Robert G., Jock Herron, and George Serafeim. "Reliable Sustainability Ratings: The Influence of Business Models on Information Intermediaries." Chap. 48 in The Routledge Handbook of Responsible Investment, edited by Tessa Hebb, James Hawley, Andreas Hoepner, Agnes Neher, and David Wood. Routledge, 2015.
  • May 2007 (Revised November 2019)
  • Case

Dollar General (A)

By: Willy Shih, Stephen P. Kaufman and Rebecca McKillican
Dollar General Corporation (DG) operates one of the leading chains of extreme value retailers in the United States. 2006 revenues reached $9.2 billion, making DG the 6th largest mass retailer in the country. With revenues growing at 9% annually over the five-year... View Details
Keywords: Business Model; Family Business; Disruptive Innovation; Growth and Development Strategy; Competitive Advantage; Retail Industry; United States
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Shih, Willy, Stephen P. Kaufman, and Rebecca McKillican. "Dollar General (A)." Harvard Business School Case 607-140, May 2007. (Revised November 2019.)
  • September 2013
  • Article

Testimonials Do Not Convert Patients from Brand to Generic Medication

By: John Beshears, James J. Choi, David Laibson, Brigitte C. Madrian and Gwendolyn Reynolds

Objectives: To assess whether the addition of a peer testimonial to an informational mailing increases conversion rates from brand name prescription medications to lower-cost therapeutic equivalents, and whether the testimonial's efficacy increases when... View Details

Keywords: Testimonial; Peer Information; Social Proximity; Communication; Generic Medication; Familiarity; Marketing Communications; Decision Choices and Conditions; Identity; Health Care and Treatment; Marketing Reference Programs; Power and Influence; Brands and Branding; Health Industry
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Beshears, John, James J. Choi, David Laibson, Brigitte C. Madrian, and Gwendolyn Reynolds. "Testimonials Do Not Convert Patients from Brand to Generic Medication." American Journal of Managed Care 19, no. 9 (September 2013): e314–e316.
  • Program

General Management Program

Summary Taking your organization and your career to the next level requires going beyond your field of expertise to gain an end-to-end view of the enterprise, an in-depth understanding of business operations, and a multidisciplinary approach to leadership. The View Details
  • December 7, 2016
  • Article

Is Your Client’s Generational Transition Stuck?: How Changing the Ownership Model Can Create Traction

By: Josh Baron
Keywords: Family Ownership; Organizational Structure; Management Succession; Transition
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Baron, Josh. "Is Your Client’s Generational Transition Stuck? How Changing the Ownership Model Can Create Traction." Family Firm Institute Practitioner (December 7, 2016).
  • 01 Mar 2009
  • News

Model Patient

as a national blueprint. Near-universal coverage, a pipe dream anywhere in the United States a few short years ago, is the chief reason that the state’s model has generated so much excitement. And the Bay... View Details
Keywords: Garry Emmons; Health, Social Assistance
  • 2023
  • Article

Post Hoc Explanations of Language Models Can Improve Language Models

By: Satyapriya Krishna, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh and Himabindu Lakkaraju
Large Language Models (LLMs) have demonstrated remarkable capabilities in performing complex tasks. Moreover, recent research has shown that incorporating human-annotated rationales (e.g., Chain-of-Thought prompting) during in-context learning can significantly enhance... View Details
Keywords: AI and Machine Learning; Performance Effectiveness
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Krishna, Satyapriya, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh, and Himabindu Lakkaraju. "Post Hoc Explanations of Language Models Can Improve Language Models." Advances in Neural Information Processing Systems (NeurIPS) (2023).
  • July 2006
  • Article

Dynamic Mixed Duopoly: A Model Motivated by Linux vs. Windows

By: Ramon Casadesus-Masanell and Pankaj Ghemawat
This paper analyzes a dynamic mixed duopoly in which a profit-maximizing competitor interacts with a competitor that prices at zero (or marginal cost), with the cumulation of output affecting their relative positions over time. The modeling effort is motivated by... View Details
Keywords: Open Source Software; Demand-side Learning; Network Effects; Linux; Mixed Duopoly; Competitive Dynamics; Business Models; Duopoly and Oligopoly; Information Technology; Applications and Software; Business Model; Mathematical Methods; Digital Platforms; Profit; Balance and Stability; Management Analysis, Tools, and Techniques; SWOT Analysis; Competition; Price; Information Technology Industry
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Casadesus-Masanell, Ramon, and Pankaj Ghemawat. "Dynamic Mixed Duopoly: A Model Motivated by Linux vs. Windows." Management Science 52, no. 7 (July 2006): 1072–1084.
  • 2017
  • Working Paper

Knowledge Flows within Multinationals—Estimating Relative Influence of Headquarters and Host Context Using a Gravity Model

By: Prithwiraj Choudhury, Mike Horia Teodorescu and Tarun Khanna
From the perspective of a multinational subsidiary, we employ the classic gravity equation in economics to model and compare knowledge flows to the subsidiary from the MNC headquarters and from the host country context. We also generalize traditional economics gravity... View Details
Keywords: Multinationals; Knowledge Flows; Cosine Similarity; Gravity Model; Multinational Firms and Management; Knowledge Dissemination; Business Headquarters; Immigration
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Choudhury, Prithwiraj, Mike Horia Teodorescu, and Tarun Khanna. "Knowledge Flows within Multinationals—Estimating Relative Influence of Headquarters and Host Context Using a Gravity Model." Working Paper, July 2017.
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