🧑‍🔬 Himabindu Lakkaraju

🏛️ Affiliations

🎓Harvard UniversityCambridge · United States2019–2026 · 98 paperscurrent🏢GoogleMountain View · United States2026 · 1 papercurrent🎓Harvard–MIT Division of Health Sciences and TechnologyCambridge · United States2026 · 1 papercurrent🎓Stanford UniversityStanford · United States2012–2021 · 20 papers🔬IBM Research - IndiaNew Delhi · India2011–2012 · 5 papers🎓University of Illinois Urbana-ChampaignUrbana · United States2023–2024 · 3 papers🏢IBMBengaluru · India2011–2012 · 3 papers🎓UiT The Arctic University of NorwayTromsø · Norway2023–2024 · 2 papers

🏛️Harvard Business SchoolMassachusetts · United StatesEmployment

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Certifying LLM Safety against Adversarial Prompting (2023 · 113 citations)
   Safety-aligned LLMs can still be jailbroken when an attacker attaches crafted adversarial tokens to a harmful request.
2. Analyzing Chain-of-Thought Prompting in Large Language Models via Gradient-based Feature Attributions (2023 · 30 citations)
   Chain-of-thought (CoT) prompting is known to improve LLM accuracy on reasoning questions, but it is still unclear why it works.
3. How Memory Management Impacts LLM Agents: An Empirical Study of Experience-Following Behavior (2026 · 13 citations)
   LLM agents often keep an episodic memory of earlier task queries and their execution trajectories, then retrieve similar records as in-context demonstrations.
4. Generalizing Trust: Weak-to-Strong Trustworthiness in Language Models (2026)
   In high-stakes areas such as medicine, ground-truth labels are often missing, noisy or biased, so models must learn from imperfect supervision.

All works

22 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

1. Human Decisions and Machine Predictions ↗The Quarterly Journal of Economics · no summary yetJon M. Kleinberg et al.2017 · 821 citations
2. Interpretable Decision Sets ↗ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · no summary yetHimabindu Lakkaraju, Stephen H. Bach, Jure Leskovec2016 · 670 citations
3. Mining big data to extract patterns and predict real-life outcomes. ↗Psychological Methods · no summary yetMichał Kosiński et al.2016 · 201 citations
4. The Selective Labels Problem ↗ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · no summary yetHimabindu Lakkaraju et al.2017 · 115 citations
5. Certifying LLM Safety against Adversarial PromptingarXiv:2309.02705Aounon Kumar, Chirag Agarwal, Suraj Srinivas, et al.2023 · 113 citations
6. Aspect Specific Sentiment Analysis Using Hierarchical Deep Learning ↗no summary yetHimabindu Lakkaraju, Richard Socher, Christopher D. Manning2014 · 87 citations
7. In-Context Unlearning: Language Models as Few Shot Unlearners ↗arXiv:2310.07579 · no summary yetMartin Pawelczyk, Seth Neel, Himabindu Lakkaraju2023 · 81 citations
8. Learning Cost-Effective and Interpretable Treatment Regimes ↗International Conference on Artificial Intelligence and Statistics · no summary yetHimabindu Lakkaraju, Cynthia D Rudin2017 · 53 citations
9. Analyzing Chain-of-Thought Prompting in Large Language Models via Gradient-based Feature AttributionsarXiv:2307.13339Skyler Wu, Eric Meng Shen, Charumathi Badrinath, et al.2023 · 30 citations
10. Interpretable and Explorable Approximations of Black Box Models ↗arXiv (Cornell University) · no summary yetHimabindu Lakkaraju et al.2017 · 29 citations
11. Advancing science- and evidence-based AI policy ↗Science · no summary yetRishi Bommasani et al.2025 · 25 citations
12. A Bayesian Framework for Modeling Human Evaluations ↗SIAM International Conference on Data Mining · no summary yetHimabindu Lakkaraju et al.2015 · 23 citations
13. How Memory Management Impacts LLM Agents: An Empirical Study of Experience-Following BehaviorAnnual Meeting of the Association for Computational Linguistics (ACL)Zidi Xiong, Yuping Lin, Wenya Xie, et al.2026 · 13 citations
14. Learning Cost-Effective Treatment Regimes using Markov Decision Processes ↗arXiv (Cornell University) · no summary yetHimabindu Lakkaraju, Cynthia D Rudin2016 · 12 citations
15. Confusions over Time: An Interpretable Bayesian Model to Characterize Trends in Decision Making ↗neural information processing systems · no summary yetHimabindu Lakkaraju, Jure Leskovec2016 · 8 citations
16. Learning Cost-Effective and Interpretable Treatment Regimes for Judicial Bail Decisions ↗no summary yetHimabindu Lakkaraju, Cynthia D Rudin2016 · 2 citations
17. Psycho-Demographic Analysis of the Facebook Rainbow Campaign ↗arXiv (Cornell University) · no summary yetWang, Yilun et al.2016 · 2 citations
18. Learning Cost-Effective and Interpretable Regimes for Treatment Recommendation ↗arXiv (Cornell University) · no summary yetHimabindu Lakkaraju, Cynthia D Rudin2016 · 1 citation
19. Generalizing Trust: Weak-to-Strong Trustworthiness in Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Lillian Sun, Martin Pawelczyk, Zhenting Qi, et al.2026
20. Position: Explainability Research Must Prioritize Foundations over Ad-hoc Methods ↗arXiv (Cornell University) · no summary yetMichal Moshkovitz et al.2026
21. Data Poisoning Attacks on Off-Policy Policy Evaluation Methods ↗arXiv (Cornell University) · no summary yetElita Lobo et al.2024
22. Using Big Data to Improve Social Policy ↗no summary yetHimabindu Lakkaraju et al.2014

🤝 Co-authors here

11 co-authors with a page, the most papers together first.

• Aounon Kumar ×2
• Chirag Agarwal
• Jiliang Tang
• Pengfei He
• Soheil Feizi
• Wenya Xie
• Yuping Lin
• Zhen Xiang
• Zhenting Qi
• Zidi Xiong
• Zirui Liu

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Annual Meeting of the Association for Computational Linguistics (ACL) ×2: ACL 2026 ×2
• ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) ×2
• International Conference on Artificial Intelligence and Statistics
• Psychological Methods
• SIAM International Conference on Data Mining
• Science
• The Quarterly Journal of Economics
• neural information processing systems

🔗 Cited by

Papers of our library cite their works 245 times (of the 149,439 papers whose bibliographies we read); 48 citing papers with a page here →.

Updated 1 November 2026

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