HCAST: Human-Calibrated Autonomy Software Tasks

1 code implementation • 21 Mar 2025 • David Rein, Joel Becker, Amy Deng, Seraphina Nix, Chris Canal, Daniel O'Connel, Pip Arnott, Ryan Bloom, Thomas Broadley, Katharyn Garcia, Brian Goodrich, Max Hasin, Sami Jawhar, Megan Kinniment, Thomas Kwa, Aron Lajko, Nate Rush, Lucas Jun Koba Sato, Sydney von Arx, Ben West, Lawrence Chan, Elizabeth Barnes

To understand and predict the societal impacts of highly autonomous AI systems, we need benchmarks with grounding, i. e., metrics that directly connect AI performance to real-world effects we care about.

Measuring AI Ability to Complete Long Tasks

1 code implementation • 18 Mar 2025 • Thomas Kwa, Ben West, Joel Becker, Amy Deng, Katharyn Garcia, Max Hasin, Sami Jawhar, Megan Kinniment, Nate Rush, Sydney von Arx, Ryan Bloom, Thomas Broadley, Haoxing Du, Brian Goodrich, Nikola Jurkovic, Luke Harold Miles, Seraphina Nix, Tao Lin, Neev Parikh, David Rein, Lucas Jun Koba Sato, Hjalmar Wijk, Daniel M. Ziegler, Elizabeth Barnes, Lawrence Chan

Despite rapid progress on AI benchmarks, the real-world meaning of benchmark performance remains unclear.

Logical Reasoning

Evaluating Language-Model Agents on Realistic Autonomous Tasks

no code implementations • 18 Dec 2023 • Megan Kinniment, Lucas Jun Koba Sato, Haoxing Du, Brian Goodrich, Max Hasin, Lawrence Chan, Luke Harold Miles, Tao R. Lin, Hjalmar Wijk, Joel Burget, Aaron Ho, Elizabeth Barnes, Paul Christiano

We find that these language model agents can only complete the easiest tasks from this list, although they make some progress on the more challenging tasks.

Language Modeling Language Modelling +1

A Few-Shot Semantic Parser for Wizard-of-Oz Dialogues with the Precise ThingTalk Representation

1 code implementation • Findings (ACL) 2022 • Giovanni Campagna, Sina J. Semnani, Ryan Kearns, Lucas Jun Koba Sato, Silei Xu, Monica S. Lam

Previous attempts to build effective semantic parsers for Wizard-of-Oz (WOZ) conversations suffer from the difficulty in acquiring a high-quality, manually annotated training set.

Data Augmentation Dialogue State Tracking