81 citations · 108 across the 29 of their papers we have counts for
6 papers · 1 filter
Reliable agent engineering should integrate machine-compatible organizational principles
R. Patrick Xian, Garry A. Gabison, Ahmed Alaa +2
As AI agents built on large language models (LLMs) become increasingly embedded in society, issues of coordination, control, delegation, and accountability are entangled with conce…
Mitigating Diffusion Model Hallucinations with Dynamic Guidance
Kostas Triaridis, Alexandros Graikos, Aggelina Chatziagapi +2
Hallucinations in diffusion models are samples with structural inconsistencies that can emerge due to the excessive smoothing of the learned score function, which in turn leads to…
Towards Interpretability Without Sacrifice: Faithful Dense Layer Decomposition with Mixture of Decoders
James Oldfield, Shawn Im, Sharon Li +3
Multilayer perceptrons (MLPs) are an integral part of large language models, yet their dense representations render them difficult to understand, edit, and steer. Recent methods le…
Hadamard product in deep learning: Introduction, Advances and Challenges
Grigorios G Chrysos, Yongtao Wu, Razvan Pascanu +2
While convolution and self-attention mechanisms have dominated architectural design in deep learning, this survey examines a fundamental yet understudied primitive: the Hadamard pr…
Single-pass Detection of Jailbreaking Input in Large Language Models
Leyla Naz Candogan, Yongtao Wu, Elias Abad Rocamora +2
Defending aligned Large Language Models (LLMs) against jailbreaking attacks is a challenging problem, with existing approaches requiring multiple requests or even queries to auxili…
Certified Robustness Under Bounded Levenshtein Distance
Elias Abad Rocamora, Grigorios G. Chrysos, Volkan Cevher
Text classifiers suffer from small perturbations, that if chosen adversarially, can dramatically change the output of the model. Verification methods can provide robustness certifi…