---
title: "Rishi Bommasani — all works — Elamur Research"
description: "All 33 works of Rishi Bommasani in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/rishi-bommasani/works/"
---
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# Rishi Bommasani — all works

33 works · [← Rishi Bommasani](https://md.research.elamur.ai/free/en/authors/rishi-bommasani/)

1. [**On the Opportunities and Risks of Foundation Models arXiv:2108.07258**Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.*2021 · 3,160 citations*](https://md.research.elamur.ai/free/en/papers/bommasani-2021-opportunities-risks-foundation-models/)
2. [**Emergent Abilities of Large Language Models arXiv:2206.07682**Jason Wei, Yi Tay, Rishi Bommasani, et al.*2022 · 2,269 citations*](https://md.research.elamur.ai/free/en/papers/wei-2022-emergent-abilities-large-language-models/)
3. **[BLOOM: A 176B-Parameter Open-Access Multilingual Language Model ↗](https://arxiv.org/abs/2211.05100) arXiv:2211.05100 · no summary yet**BigScience Workshop et al.*2022 · 1,606 citations*
4. **[Holistic Evaluation of Language Models ↗](https://arxiv.org/abs/2211.09110) arXiv:2211.09110 · Published in Transactions on Machine Learning Research (TMLR), 2023 · no summary yet**Percy Liang et al.*2022 · 1,001 citations*
5. **[Interpreting Pretrained Contextualized Representations via Reductions to Static Embeddings](https://md.research.elamur.ai/free/en/papers/bommasani-2020-interpreting-pretrained-contextualized-representations-reductions/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Rishi Bommasani, Kelly Davis, Claire Cardie*2020 · 250 citations*
6. **[Evaluating Human-Language Model Interaction ↗](https://arxiv.org/abs/2212.09746) arXiv (Cornell University) · no summary yet**Mina Lee et al.*2022 · 110 citations*
7. **[Intrinsic Evaluation of Summarization Datasets ↗](https://aclanthology.org/2020.emnlp-main.649/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Rishi Bommasani, Claire Cardie*2020 · 96 citations*
8. **[Picking on the Same Person: Does Algorithmic Monoculture Lead to Outcome Homogenization? ↗](https://doi.org/10.52202/068431-0265) neural information processing systems · no summary yet**Rishi Bommasani et al.*2022 · 78 citations*
9. **[The Foundation Model Transparency Index ↗](https://arxiv.org/abs/2310.12941) arXiv:2310.12941 · no summary yet**Rishi Bommasani et al.*2023 · 76 citations*
10. **[Foundation Model Transparency Reports ↗](https://doi.org/10.1609/aies.v7i1.31628) Proceedings of the AAAI/ACM Conference on AI Ethics and Society · no summary yet**Rishi Bommasani et al.*2024 · 53 citations*
11. **[International AI Safety Report ↗](https://arxiv.org/abs/2501.17805) arXiv (Cornell University) · no summary yet**Yoshua Bengio et al.*2025 · 41 citations*
12. **[Considerations for governing open foundation models ↗](https://doi.org/10.1126/science.adp1848) Science · no summary yet**Rishi Bommasani et al.*2024 · 36 citations*
13. **[On the Societal Impact of Open Foundation Models ↗](https://arxiv.org/abs/2403.07918) arXiv (Cornell University) · no summary yet**Sayash Kapoor et al.*2024 · 30 citations*
14. **[Advancing science- and evidence-based AI policy ↗](https://doi.org/10.1126/science.adu8449) Science · no summary yet**Rishi Bommasani et al.*2025 · 25 citations*
15. **[Ecosystem Graphs: The Social Footprint of Foundation Models ↗](https://doi.org/10.21203/rs.3.rs-2961271/v1) Research Square · no summary yet**Rishi Bommasani et al.*2023 · 23 citations*
16. **[A Safe Harbor for AI Evaluation and Red Teaming ↗](https://arxiv.org/abs/2403.04893) arXiv (Cornell University) · no summary yet**Shayne Longpre et al.*2024 · 22 citations*
17. **[The Foundation Model Transparency Index v1.1: May 2024 ↗](https://arxiv.org/abs/2407.12929) arXiv (Cornell University) · no summary yet**Rishi Bommasani et al.*2024 · 14 citations*
18. **[International Scientific Report on the Safety of Advanced AI (Interim Report) ↗](https://arxiv.org/abs/2412.05282) arXiv (Cornell University) · no summary yet**Yoshua Bengio et al.*2024 · 13 citations*
19. **[Holistic Agent Leaderboard: The Missing Infrastructure for AI Agent Evaluation ↗](https://arxiv.org/abs/2510.11977) arXiv:2510.11977 · no summary yet**Sayash Kapoor et al.*2025 · 11 citations*
20. **[The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources ↗](https://arxiv.org/abs/2406.16746) arXiv (Cornell University) · no summary yet**Shayne Longpre et al.*2024 · 11 citations*
21. **[Trustworthy Social Bias Measurement ↗](https://doi.org/10.1609/aies.v7i1.31630) Proceedings of the AAAI/ACM Conference on AI Ethics and Society · no summary yet**Rishi Bommasani, Percy Liang*2022 · 11 citations*
22. **[The 2025 Foundation Model Transparency Index ↗](https://doi.org/10.70777/si.v2i4.17165) SuperIntelligence - Robotics - Safety & Alignment · no summary yet**Alexander Wan et al.*2026 · 9 citations*
23. **[AI Regulation Has Its Own Alignment Problem: The Technical and Institutional Feasibility of Disclosure, Registration, Licensing, and Auditing ↗](https://openalex.org/W7167856760) bepress Legal Repository · no summary yet**Neel Guha et al.*2024 · 8 citations*
24. **[Language model developers should report train-test overlap ↗](https://arxiv.org/abs/2410.08385) arXiv (Cornell University) · no summary yet**Andy K. Zhang et al.*2024 · 8 citations*
25. **[Position: On the Societal Impact of Open Foundation Models ↗](https://openalex.org/W7135318688) ANU Open Research (Australian National University) · no summary yet**Sayash Kapoor et al.*2024 · 6 citations*
26. **[Cheaply Evaluating Inference Efficiency Metrics for Autoregressive Transformer APIs ↗](https://arxiv.org/abs/2305.02440) arXiv (Cornell University) · no summary yet**Deepak Narayanan et al.*2023 · 6 citations*
27. **[Ecosystem-level Analysis of Deployed Machine Learning Reveals Homogeneous Outcomes ↗](https://arxiv.org/abs/2307.05862) arXiv (Cornell University) · no summary yet**Connor Toups et al.*2023 · 4 citations*
28. **[Cheaply Estimating Inference Efficiency Metrics for Autoregressive Transformer Models ↗](https://doi.org/10.52202/075280-2904) neural information processing systems · no summary yet**Deepak Narayanan et al.*2023 · 3 citations*
29. **[Algorithmic Monocultures in Hiring ↗](https://doi.org/10.1145/3805689.3812400) ACM Conference on Fairness, Accountability, and Transparency (FAccT) · no summary yet**Rishi Bommasani et al.*2026 · 2 citations*
30. **[In-House Evaluation Is Not Enough: Towards Robust Third-Party Flaw Disclosure for General-Purpose AI ↗](https://arxiv.org/abs/2503.16861) arXiv (Cornell University) · no summary yet**Shayne Longpre et al.*2025 · 2 citations*
31. **[The California Report on Frontier AI Policy ↗](https://arxiv.org/abs/2506.17303) arXiv (Cornell University) · no summary yet**Rishi Bommasani et al.*2025 · 1 citation*
32. **[FLARE-AI: Flaw Reporting for AI ↗](https://arxiv.org/abs/2606.31567) arXiv (Cornell University) · no summary yet**Shayne Longpre et al.*2026*
33. **[Economic Evaluations of Language Models ↗](https://arxiv.org/abs/2607.19375) arXiv (Cornell University) · no summary yet**Alexander Wan et al.*2026*