Results for "demonstration-based"
Predicting case success probabilities.
Fabrication of cases or statutes by LLMs.
AI-driven buying/selling of financial assets.
Predicting borrower default risk.
Ensuring models comply with lending fairness laws.
Returns above benchmark.
Credit models with interpretable logic.
Risk of incorrect financial models.
AI applied to scientific problems.
Finding mathematical equations from data.
AI proposing scientific hypotheses.
Fast approximation of costly simulations.
AI selecting next experiments.
Agents optimize collective outcomes.
Agents have opposing objectives.
Designing systems where rational agents behave as desired.
Rules governing auctions.
Truthful bidding is optimal strategy.
Competition arises without explicit design.
AI tacitly coordinating prices.
Some agents know more than others.
Effect of trades on prices.
Collective behavior without central control.
Early signals disproportionately influence outcomes.
Emergence of conventions among agents.
Awareness and regulation of internal processes.
Restricting distribution of powerful models.
A system that perceives state, selects actions, and pursues goals—often combining LLM reasoning with tools and memory.
The field of building systems that perform tasks associated with human intelligence—perception, reasoning, language, planning, and decision-making—via algori...
A measure of a model class’s expressive capacity based on its ability to shatter datasets.