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S. Nedungadi

4 papers hereh-index 239 citations7 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI2
  • cs.CR1
  • cs.CY1

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.AI2026

ABC-Bench: An Agentic Bio-Capabilities Benchmark for Biosecurity

Andrew Bo Liu, Samira Nedungadi, Bryce Cai +3

Large language models (LLMs) are rapidly acquiring capabilities relevant to biological research, from literature synthesis to interpretation of experimental data. Increasingly, LLM…

cs.AI2026

LLM Novice Uplift on Dual-Use, In Silico Biology Tasks

Chen Bo Calvin Zhang, Christina Q. Knight, Nicholas Kruus +16

Large language models (LLMs) perform increasingly well on biology benchmarks, but it remains unclear whether they uplift novice users -- i.e., enable humans to perform better than…

cs.CR2025

Best Practices for Biorisk Evaluations on Open-Weight Bio-Foundation Models

Boyi Wei, Zora Che, Nathaniel Li +10

Open-weight bio-foundation models present a dual-use dilemma. While holding great promise for accelerating scientific research and drug development, they could also enable bad acto…

cs.CY2025

STREAM (ChemBio): A Standard for Transparently Reporting Evaluations in AI Model Reports

Tegan McCaslin, Jide Alaga, Samira Nedungadi +5

Evaluations of dangerous AI capabilities are important for managing catastrophic risks. Public transparency into these evaluations - including what they test, how they are conducte…

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