Satyapriya Krishna
Satyapriya Krishna has 2 papers in our library, in 2026, most of them on Language models & pretraining, Evaluation & benchmarks, Bias, fairness & safety; often with Kai-Wei Chang, Rahul Gupta, Anil Ramakrishna.
OpenAlex · h-index 0 · 5 works · 0 citations OpenAlex, 2026-10-14
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksArts and Humanities · 1 workInformation Systems · 1 workLanguage and Linguistics · 1 workSoftware · 1 work
🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 2 worksBias, fairness & safety · 1 workEvaluation & benchmarks · 1 work
Works by year
2020s
Papers
- AutoSUIT Bench - Automated Security UnIt Test Benchmark for LLM Coding (2026)
Benchmarks that check whether LLM-written code is secure tend to rely on one of two approaches. Some use static analyzers such as CodeQL, which make many errors. Others use hand-written security tests, which limits them to a few dozen of the most common CWE categories. AutoSUIT addresses both problems with an… - From Narrow Unlearning to Emergent Misalignment in LLMs (2026)
Earlier work found that fine-tuning an aligned LLM on a narrow task, such as writing insecure code, can cause emergent misalignment (EMA): harmful behaviour that spreads to unrelated domains.
Co-authors here
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
Updated
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