Good Papers

Showing papers from Idiap Research Institute Show all papers

57%Worth a look
?Worth a lookVote to see the score

Better Language Models Require Better Domain-Specific Inductive Biases

Damien Teney, Liangze Jiang, Zachary Shinnick, Hemanth Saratchandran and 1 more

Sydney Poster Session 4, Wed, Dec 9, 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
80%Must read
?Must readVote to see the score

Geometric Latent Reasoning Induces Shorter Generations in LLMs

Geometric Latent Reasoning predicts continuous embedding-space reasoning paths via iterative direction updates, yielding substantially shorter correct generations without length penalties.

Shashi Kumar, Yacouba Kaloga, Petr Motlicek, Ina Kodrasi and 1 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · 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
72%Highly rated
?Highly ratedVote to see the score

Eyes on VLM: Benchmarking Gaze Following and Social Gaze Prediction in Vision Language Models

EyeVLM benchmarks vision-language models on gaze following and social gaze prediction, finding they lack precise gaze understanding despite training improvements.

Hengfei Wang, Anshul Gupta, Pierre Vuillecard, Jean-marc Odobez

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 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