activity
20242026
collaborators

10 papers

cs.AI2026

VIALS: A Benchmark for Visual Interpretation of Artifacts in the Life Sciences

Elaine Lau, Thanuka Udumulla, Lee Izhaki-Tavor +3

In professional life sciences workflows, scientists routinely interpret visual artifacts (gel blots, microscopy images, plasmid maps, flow cytometry plots, molecular structures, ..…

cs.LG2026

CAREBench: A Child-Safety Risk Benchmark for Language Models

Kaavya Krishna-Kumar, Elaine Lau, Vaughn Robinson +6

How can we evaluate whether frontier AI systems recognize child-safety risks before they escalate into explicit harm? Existing child safety evaluations focus on child sexual abuse…

cs.CL2026

On Safety Risks in Experience-Driven Self-Evolving Agents

Weixiang Zhao, Yichen Zhang, Yingshuo Wang +8

Experience-driven self-evolution has emerged as a promising paradigm for improving the autonomy of large language model agents, yet its reliance on self-curated experience introduc…

cs.AI2026

BankerToolBench: Evaluating AI Agents in End-to-End Investment Banking Workflows

Elaine Lau, Markus Dücker, Ronak Chaudhary +24

Existing AI benchmarks lack the fidelity to assess economically meaningful progress on professional workflows. To evaluate frontier AI agents in a high-value, labor-intensive profe…

cs.AI2026

SciPredict: Can LLMs Predict the Outcomes of Scientific Experiments in Natural Sciences?

Udari Madhushani Sehwag, Elaine Lau, Haniyeh Ehsani Oskouie +14

Accelerating scientific discovery requires the identification of which experiments would yield the best outcomes before committing resources to costly physical validation. While ex…

cs.LG2025

Remote Labor Index: Measuring AI Automation of Remote Work

Mantas Mazeika, Alice Gatti, Cristina Menghini +44

AIs have made rapid progress on research-oriented benchmarks of knowledge and reasoning, but it remains unclear how these gains translate into economic value and automation. To mea…