Samuel Stevens

Orcid: 0009-0000-9493-7766

According to our database1, Samuel Stevens authored at least 15 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
SALSA FRESCA: Angular Embeddings and Pre-Training for ML Attacks on Learning With Errors.
IACR Cryptol. ePrint Arch., 2024

The cool and the cruel: separating hard parts of LWE secrets.
IACR Cryptol. ePrint Arch., 2024

KABR: In-Situ Dataset for Kenyan Animal Behavior Recognition from Drone Videos.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024

A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

MMMU: A Massive Multi-Discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

BioCLIP: A Vision Foundation Model for the Tree of Life.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Mind2Web: Towards a Generalist Agent for the Web.
CoRR, 2023

Memorization for Good: Encryption with Autoregressive Language Models.
CoRR, 2023

Roll Up Your Sleeves: Working with a Collaborative and Engaging Task-Oriented Dialogue System.
Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 2023

A Framework for Autonomic Computing for In Situ Imageomics.
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2023

2022
The influence of wind and the spatial layout of dwellings on fire spread in informal settlements in Cape Town.
Comput. Environ. Urban Syst., 2022

Bootstrapping a User-Centered Task-Oriented Dialogue System.
CoRR, 2022

arXivEdits: Understanding the Human Revision Process in Scientific Writing.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
An Investigation of Language Model Interpretability via Sentence Editing.
Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2021

2020
Understanding How BERT Learns to Identify Edits.
CoRR, 2020


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