Good Papers

Showing papers from University of Oslo Show all papers

45%Niche pick
?Niche pickVote to see the score

PRISM:Disentangling Preference Distributions for Generative Ranking

zhangkai wu, Kaize Shi, Xu Zhang, Zhihong Cui and 1 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 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: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score

REINS: A Self-Evolving Agent Harness for Real-Time Trajectory Planning

Zhihong Cui, Hengyu Liu, Haoran Tang, shijun liu and 2 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
1/20 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: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score

Locating and Repairing Domain Shift in VLM Trajectory Planning

Zhihong Cui, Hengyu Liu, Michael A. Riegler, Guandong Xu and 2 more

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

– ReadersNo votes yet
1/20 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: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score

Outlier-Robust Multi-Output Gaussian Processes

Joshua Rooijakkers, Leiv Rønneberg, Francois-Xavier Briol, Jeremias Knoblauch and 1 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 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: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score

Breaking Curse of Dimensionality for Mutual Information Estimation with Vine Copulas

Sigurd Holmsen, Berit Øksnes, Ingrid Hobæk Haff, Sylvia Richardson and 1 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 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: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score

Human–AI Collaboration Requires a High-Order Dynamic Abstraction Substrate

Hengyu Liu, Dongxu Huang, Zhihong Cui, Lun Du and 4 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
0/20 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: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
83%Must read
?Must readVote to see the score

Progressive Memory Transformer: Memory-Aware Attention for Time-Series

Progressive Memory Transformer adds window-aligned memory to transformers, enforcing local, mid-range, and global time-series objectives for strong low-label classification and forecasting.

Tord S Stangeland, Andreas Köhler, Steffen Maeland, Adín Ramírez Rivera

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
13/20 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: 13 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 2/5
72%Highly rated
?Highly ratedVote to see the score

Lifting Biomolecular Data Acquisition

Neural compressed sensing extends to function space to co-design wet-lab experiments with learning algorithms, achieving orders-of-magnitude higher information density by measuring multiple molecules simultaneously and deconvolving activity during training for antibodies and cell therapies.

Eli N. Weinstein, Andrei Slabodkin, Mattia G Gollub, Kerry Dobbs and 4 more

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · 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
71%Highly rated
?Highly ratedVote to see the score

Remember Your Trace: Memory-Guided Long-Horizon Agentic Framework for Consistent and Hierarchical Repository-Level Code Documentation

MemDocAgent uses dependency-aware traversal and shared memory to generate consistent, hierarchical repository-level documentation in a single integrated context, outperforming both open- and closed-source baselines.

Suyoung Bae, Jaehoon Lee, Changkyu Choi, YunSeok Choi and 1 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

– ReadersNo votes yet
7/20 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: 7 of 20 reviewers recommend it
lenient 4/5
medium 3/10
strict 0/5