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Showing papers from York University; Vector Institute Show all papers

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NeurIPS 2026Vector InstituteU AlbertaYorkQueen'sYork University; Vector InstitutLLM evaluation & benchmarks

Fine-Grained Benchmark Generation for Comprehensive Evaluation of Foundation Models

An automated framework generates fine-grained, contamination-robust benchmarks from textbooks that expose model differences missed by existing tests.

Mohammed Saidul Islam, Arash Afkanpour, Negin Baghbanzadeh, Farnaz Kohankhaki and 4 more

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

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 0/5
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NeurIPS 2026York University and Vector InstiYorkVector InstituteDalhousieYork University; Vector InstitutLLM evaluation & benchmarks

Towards Understanding and Measuring Cognitive Atrophy in LLM Behaviour

Cognitive atrophy is formalized as a process-level behavioral measure in AI mental-health support, with a 1,576-conversation benchmark showing LLMs consistently exhibit moderate-to-high atrophy-aligned directive and validation patterns.

Abeer Badawi, Moyosoreoluwa Olatosi, Negin Baghbanzadeh, Laleh Seyyed-Kalantari and 4 more

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

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13/20 AI panelreviewers recommend it

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 2/5
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NeurIPS 2026Vector InstituteUBC and Vector InstituteU TorontoYork University and Vector InstiNVIDIA, Arc Institute, Vector InMultimodal reasoning

OpenMedReason: Scientific Reasoning Supervision for Medical Vision–Language Models

OpenMedReason is a 450K-instance open medical reasoning dataset derived from scientific articles that improves LVLM diagnostic accuracy by 20% and enhances perception, knowledge, and reasoning.

Negin Baghbanzadeh, Pritam Sarkar, Michael Colacci, Abeer Badawi and 5 more

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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13/20 AI panelreviewers recommend it

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 3/5