Anand Kannappan

Video game speedrunning as a test of whether agents can beat strategies humans already know.

Human design workflows in Figma, captured as training data for creative design tasks.

A two-agent benchmark for tip-of-the-tongue search across several turns.

54 kinds of reward exploit in code RL, and how well models catch them.

Testing whether agents keep track of facts spread across workplace tools.

A benchmark for finding the step where an agent went wrong.

573 tip-of-the-tongue questions that need search, reasoning and tool use.

A small, explainable judge model for grading LLM interactions.

An open-source model for detecting hallucinations in retrieval-augmented generation.

Open-book financial question answering about publicly traded companies.

100 prompts for finding critical safety risks in language models.