Good Papers

Showing papers from Concordia University Show all papers

45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026Beijing Normal-Hong Kong BaptistConcordiaHong Kong Baptist University, BeBeijing Normal-Hong Kong BaptistUnified multimodal models

M3-HNTM: Hyperspherical Multimodal Topic Modeling with Symbolic and Contextual Evidence

Zhiwen Luo, Dayu Guo, Manar Amayri, Nizar Bouguila and 3 more

Sydney Poster Session 4, Wed, Dec 9, 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
NeurIPS 2026ConcordiaU Western OntarioSamsungTest-time compute

LLM Routing Through the Lens of Recommendation: A Roadmap for Efficient AI Orchestration

Yuchen Zhou, Boyu Wang, Di Wu

Sydney Poster Session 2, Tue, Dec 8, 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
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026ConcordiaUbisoftU StellenboschSpoken language models

Factorized Self-Supervised Speech Tokenization

Benjamin Van Niekerk, Jean-Philippe Letendre, Nicol Visser, Hugo Seuté and 2 more

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · 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
NeurIPS 2026ConcordiaMILAU TübingenEfficient attention & state-space models

The Kernel Reality Check: Benchmarking and Distilling Efficient Attention at Scale

Firat Oncel, Cem Subakan, Mirco Ravanelli, Çağatay Yıldız

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
86%Must read
?Must readVote to see the score
NeurIPS 2026SpotlightMcGillU Tennessee, KnoxvilleMcGill & MBZUAICalifornia Institute of TechnoloMBZUAINavigation & SLAM

GeoWind2Plan: Mission-Time 3D Urban Wind Prediction for Energy-Efficient UAV Planning

GeoWind2Plan predicts mission-time 3D urban wind via neural operators to enable energy-efficient UAV planning in seconds, reducing energy by up to 12.7% versus wind-agnostic paths.

Shaoxiang Qin, Xiongye Xiao, Yucheng Zhao, Fuyuan Lyu and 5 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

– ReadersNo votes yet
14/20 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: 14 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 3/5
80%Must read
?Must readVote to see the score
NeurIPS 2026ConcordiaMila - Quebec Artificial IntelliMila - Québec, ServiceNowMilaMILARecommender systems

Controllable and Content Based Recommendations

CCBR builds recommendations from textual user profiles via content-derived text bottlenecks, enabling controllable multimodal steering with competitive accuracy across image, audio, and video datasets.

Firat Oncel, Jihoon Jeong, Emiliano Penaloza, Mirco Ravanelli and 2 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

– ReadersNo votes yet
12/20 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: 12 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 1/5
76%Highly rated
?Highly ratedVote to see the score
NeurIPS 2026McGill University / MILAGoogle DeepmindConcordiaÉcole de technologie supérieure,McGill University / MilaLLM evaluation & benchmarks

IDEAFix: Evaluation Framework for Creative Defixation Prompting in LLMs

IDEAFix evaluates LLM divergent thinking via controlled design scenarios and defixation prompts, showing task formulation and simple prompting boost originality but homogenization persists.

Florian Carichon, Soumya Sharma, Meaghan J. Girard, Romain Rampa and 1 more

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

– ReadersNo votes yet
10/20 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: 10 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 0/5