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Showing papers from University of Tübingen Helmholtz Munich Show all papers

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NeurIPS 2026U Tübingen Helmholtz MunichTechnische Universität MünchenImperial College London & ThLLM evaluation & benchmarks

CapTrack: Multifaceted Evaluation of Forgetting in LLM Post-Training

CapTrack defines LLM post-training forgetting as systematic behavioral drift rather than only factual loss, finding instruction tuning causes the strongest drift and no universal mitigation exists.

Lukas Thede, Stefan Winzeck, Zeynep Akata, Jonathan Richard Schwarz

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

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lenient 5/5
medium 8/10
strict 4/5
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NeurIPS 2026U Tübingen Helmholtz MunichU VirginiaU TorontoHarvardU TübingenKnowledge editing

MedKIT: Evaluating Knowledge Integration and Generalization in Large Language Models

MedKIT evaluates medical LLM knowledge integration via clinical updates, revealing strong recall but limited relational, compositional, and operational generalization across 12 strategies.

Lukas Thede, Yash Kumar, David Chen, Danielle Bitterman and 3 more

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

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16/20 AI panelreviewers recommend it

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 4/5