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SODIUM: From Open Web Data to Queryable Databases
In research workflows using public data, answering a single analytical question requires collecting and organizing data from many different web sources.
 • Daniel Kang
Launching the CVE-Bench Leaderboard: A Public Arena of AI for Cybersecurity
Last year, we introduced CVE-Bench, a rigorous benchmark with real-world web vulnerabilities to evaluate the cyberoffensive capabilities of AI agents.
 • Daniel Kang
Claude 4.5 Opus Solves CORE-Bench — But Not REPRO-Bench
In our ACL 2025 paper, we introduced REPRO-Bench (GitHub), a benchmark designed to evaluate whether AI agents can accurately assess the reproducibility…
 • Daniel Kang
SafeSearch: Teaching LLM Search Agents to Be Both Smart and Safe
LLMs are rapidly expanding their built-in knowledge from training.
 • Daniel Kang
When Your Home Robot Turns Against You: BEATing Vision-Language Agents with Visual Backdoors
Household humanoid robots promise to assist everyone in daily life, with several exciting demos released recently (NEO, Figure 03, Tesla Optimus).
 • Daniel Kang
DRAMA: Enabling AI Agents to Collect Data to Support Data Science Workflows
Data science workflows generally include two major phases: data retrieval and data analysis.
 • Daniel Kang
CVE-Bench v2.0: Making Evaluation More Rigorous with ABC
This is the third post in the Agentic Benchmark Checklist (ABC) blog series. Written by Yuxuan Zhu, Antony Kellermann, and Daniel Kang.
 • Daniel Kang
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