---
title: "Neel Jain — author profile and papers — Elamur Research"
description: "Neel Jain, University of Maryland, College Park: 2 papers on Elamur Research (2023), h-index 7 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/neel-jain/"
---
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# Neel Jain

Neel Jain has 2 papers in our library, in 2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [John Kirchenbauer](https://md.research.elamur.ai/free/en/authors/john-kirchenbauer/), [Jonas Geiping](https://md.research.elamur.ai/free/en/authors/jonas-geiping/), [Micah Goldblum](https://md.research.elamur.ai/free/en/authors/micah-goldblum/).

2 papers in our library · 2023

[OpenAlex](https://openalex.org/A5104707477) · [**h-index 7**](https://openalex.org/authors/A5104707477) · [13 works](https://openalex.org/works?filter=author.id:A5104707477) · [164 citations](https://openalex.org/works?filter=author.id:A5104707477&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/neel-jain/#papers) · [🔗 Cited 313 times in our library](https://md.research.elamur.ai/free/en/authors/neel-jain/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5000](https://md.research.elamur.ai/free/en/paper-stars/page/50/#star-5000)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Neel+Jain) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Neel+Jain) · [dblp](https://dblp.org/search?q=Neel+Jain) · [ACL Anthology](https://aclanthology.org/search/?q=Neel+Jain)

## Affiliations

[🎓**University of Maryland, College Park** College Park · United States 2023–2025 · 5 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-maryland-college-park/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

## Fields, topics and concepts

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

📚 Shelves 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/neel-jain/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Baseline Defenses for Adversarial Attacks Against Aligned Language Models](https://md.research.elamur.ai/free/en/papers/jain-2023-baseline-defenses-adversarial-attacks-against/)** *(2023 · 236 citations)* Optimization-based jailbreaks, especially the universal, transferable suffix attack (GCG) of Zou et al. (2023), can automatically generate prompts that bypass the safety alignment of chat LLMs. These prompts can be crafted on open models and then used against API-only systems. The authors ask whether standard defense…
2. **[Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery](https://md.research.elamur.ai/free/en/papers/wen-2023-hard-prompts-made-easy-gradient/)** *(2023 · 141 citations)* Prompts are the main way to steer large generative models. Readable ("hard") prompts are usually written by hand. Learned continuous ("soft") prompts are opaque, tied to a single model, and unusable through text-only APIs. The authors introduce PEZ, a gradient-based procedure that learns discrete token prompts. It…

## All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. [**Baseline Defenses for Adversarial Attacks Against Aligned Language Models arXiv:2309.00614**Neel Jain, Avi Schwarzschild, Yuxin Wen, et al.*2023 · 236 citations*](https://md.research.elamur.ai/free/en/papers/jain-2023-baseline-defenses-adversarial-attacks-against/)
2. **[Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery](https://md.research.elamur.ai/free/en/papers/wen-2023-hard-prompts-made-easy-gradient/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Yuxin Wen, Neel Jain, John Kirchenbauer, et al.*2023 · 141 citations*
3. **[Transformers Can Do Arithmetic with the Right Embeddings ↗](https://arxiv.org/abs/2405.17399) arXiv:2405.17399 · no summary yet**Sean McLeish et al.*2024 · 36 citations*

## Co-authors here

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

- [John Kirchenbauer](https://md.research.elamur.ai/free/en/authors/john-kirchenbauer/) ×2
- [Jonas Geiping](https://md.research.elamur.ai/free/en/authors/jonas-geiping/) ×2
- [Micah Goldblum](https://md.research.elamur.ai/free/en/authors/micah-goldblum/) ×2
- [Tom Goldstein](https://md.research.elamur.ai/free/en/authors/tom-goldstein/) ×2
- [Yuxin Wen](https://md.research.elamur.ai/free/en/authors/yuxin-wen/) ×2
- [Aniruddha Saha](https://md.research.elamur.ai/free/en/authors/aniruddha-saha/)
- [Avi Schwarzschild](https://md.research.elamur.ai/free/en/authors/avi-schwarzschild/)

## Venues

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

- [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2023](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/)

## Cited by

Papers of our library cite their works 313 times (of the 149,439 papers whose bibliographies we read); [78 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/neel-jain/cited-by/).

Updated 2 November 2026
