Good Papers

Showing papers from School of Engineering and Applied Science, University of Pennsylvania Show all papers

72%Highly rated
?Highly ratedVote to see the score
ICML 2026WorkshopCarnegie MellonCMU, Carnegie MellonSchool of Engineering and ApplieExplainable AI

Measuring Weak-to-Strong Legibility of Reasoning Models

This paper defines weak-to-strong legibility for reasoning models and argues existing efficiency metrics miss thoroughness needed for weak monitors.

Dani Roytburg, Shreya Sridhar, Daphne Ippolito

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
8/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 8 of 20 reviewers recommend it
lenient 5/5
medium 3/10
strict 0/5
88%Must read
?Must readVote to see the score
NeurIPS 2026School of Engineering and ApplieTel AvivTechnion - Israel Institute of TUniv. of Pennsylvania / AWSU Pennsylvania, University of PeComputational neuroscience

A simple model of co-emergence of grid and place fields

A single sensory-prediction recurrent network with Dale's Law co-emerges grid and place cells without supervision, reproducing key spatial coding phenomena.

Zhaoze Wang, Genela Morris, Dori Derdikman, Pratik Chaudhari and 1 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

– ReadersNo votes yet
15/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 3/5