5 papers · 1 filter
A Systematic Study of Small Language Models on Abstract Reasoning Tasks
Nur A Zarin Nishat, Jens Lehmann, Andrei Aioanei +1
Endpoint accuracy on abstract-reasoning benchmarks does not reveal whether a language model has acquired a transferable rule or fit distribution-specific regularities. We study thi…
When Genomic Masking Priors Fail to Transfer: Strong Variant Prediction, Weak Functional Generation
Susu Hu, Preetam Gattogi, Jens Lehmann +3
Bidirectional discrete diffusion model appears naturally suited to genomic modeling because it can reconstruct missing sequence from both flanks. We developed GenDA (Genomic Densit…
Process Rewards for Outcome-Guided Reasoning Steps in LLM Reinforcement Learning
Mohammad Rezaei, Jens Lehmann, Sahar Vahdati
Mathematical reasoning in large language models has improved substantially with reinforcement learning using verifiable rewards, where final answers can be checked automatically an…
SMART: Relation-Aware Learning of Geometric Representations for Knowledge Graphs
Kossi Amouzouvi, Bowen Song, Andrea Coletta +3
Knowledge graph representation learning approaches provide a mapping between symbolic knowledge in the form of triples in a knowledge graph (KG) and their feature vectors. Knowledg…
Advancing Safe Mechanical Ventilation Using Offline RL With Hybrid Actions and Clinically Aligned Rewards
Muhammad Hamza Yousuf, Jason Li, Sahar Vahdati +3
Invasive mechanical ventilation (MV) is a life-sustaining therapy commonly used in the intensive care unit (ICU) for patients with severe and acute conditions. These patients frequ…