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Anirudh Ajith

Anirudh Ajith has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining, Evaluation & benchmarks, Information retrieval & search; often with Alexis Chevalier, Danqi Chen, Alexander Wettig.

2 papers in our library · 2023–2024

OpenAlex · ORCID · h-index 4 · 10 works · 80 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 371 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #5508

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

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🔬Allen Institute for Artificial IntelligenceSeattle · United States2026 · 1 papercurrent🎓Princeton UniversityPrinceton · United States2023–2024 · 5 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

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

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workInformation Systems · 1 work

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 1 workEvaluation & benchmarks · 1 workInformation retrieval & search · 1 work

 Works by year

2020s

20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Adapting Language Models to Compress Contexts (2023 · 182 citations)
    Transformer LMs can only attend to a limited window, and long inputs are costly to process. This EMNLP 2023 paper from Princeton turns existing pre-trained models into "AutoCompressors." The models learn to condense text into a small set of summary vectors, which later segments read as soft prompts. The approach…
  2. LitSearch: A Retrieval Benchmark for Scientific Literature Search (2024 · 39 citations)
    Researchers often look for papers that match a precise description, such as a particular method or setting.

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. Detecting Pretraining Data from Large Language Models ↗arXiv:2310.16789 · no summary yetWeijia Shi et al.2023 · 224 citations
  2. Adapting Language Models to Compress ContextsConference on Empirical Methods in Natural Language Processing (EMNLP)Alexis Chevalier, Alexander Wettig, Anirudh Ajith, et al.2023 · 182 citations
  3. LitSearch: A Retrieval Benchmark for Scientific Literature SearchConference on Empirical Methods in Natural Language Processing (EMNLP)Anirudh Ajith, Mengzhou Xia, Alexis Chevalier, et al.2024 · 39 citations

 Co-authors here

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

Venues

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

 Cited by

Papers of our library cite their works 371 times (of the 149,439 papers whose bibliographies we read); 89 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/anirudh-ajith/