2 citations · 3 across the 6 of their papers we have counts for
4 papers · 1 filter
GitChameleon: Unmasking the Version-Switching Capabilities of Code Generation Models
Nizar Islah, Justine Gehring, Diganta Misra +4
The rapid evolution of software libraries presents a significant challenge for code generation models, which must adapt to frequent version updates while maintaining compatibility…
Seq-VCR: Preventing Collapse in Intermediate Transformer Representations for Enhanced Reasoning
Md Rifat Arefin, Gopeshh Subbaraj, Nicolas Gontier +4
Decoder-only Transformers often struggle with complex reasoning tasks, particularly arithmetic reasoning requiring multiple sequential operations. In this work, we identify represe…
VFA: Vision Frequency Analysis of Foundation Models and Human
Mohammad-Javad Darvishi-Bayazi, Md Rifat Arefin, Jocelyn Faubert +1
Machine learning models often struggle with distribution shifts in real-world scenarios, whereas humans exhibit robust adaptation. Models that better align with human perception ma…
Unsupervised Concept Discovery Mitigates Spurious Correlations
Md Rifat Arefin, Yan Zhang, Aristide Baratin +4
Models prone to spurious correlations in training data often produce brittle predictions and introduce unintended biases. Addressing this challenge typically involves methods relyi…