Alex Tamkin

Orcid: 0009-0006-0007-3746

According to our database¹, Alex Tamkin authored at least 30 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2024

Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Bayesian Preference Elicitation with Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Codebook Features: Sparse and Discrete Interpretability for Neural Networks.

[BibT_eX]

[DOI]

Alex Tamkin

Mohammad Taufeeque

Noah D. Goodman

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Collective Constitutional AI: Aligning a Language Model with Public Input.

[BibT_eX]

[DOI]

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

2023

Evaluating and Mitigating Discrimination in Language Model Decisions.

[BibT_eX]

[DOI]

CoRR, 2023

Social Contract AI: Aligning AI Assistants with Implicit Group Norms.

[BibT_eX]

[DOI]

CoRR, 2023

Eliciting Human Preferences with Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Studying Large Language Model Generalization with Influence Functions.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Measuring the Representation of Subjective Global Opinions in Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Operationalising the Definition of General Purpose AI Systems: Assessing Four Approaches.

[BibT_eX]

[DOI]

Risto Uuk

Carlos Ignacio Gutierrez

Alex Tamkin

CoRR, 2023

BenchMD: A Benchmark for Modality-Agnostic Learning on Medical Images and Sensors.

[BibT_eX]

[DOI]

CoRR, 2023

Multispectral Self-Supervised Learning with Viewmaker Networks.

[BibT_eX]

[DOI]

Jasmine Bayrooti

Noah D. Goodman

Alex Tamkin

CoRR, 2023

Feature Dropout: Revisiting the Role of Augmentations in Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Turbulence in Focus: Benchmarking Scaling Behavior of 3D Volumetric Super-Resolution with BLASTNet 2.0 Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Task Ambiguity in Humans and Language Models.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Oolong: Investigating What Makes Transfer Learning Hard with Controlled Studies.

[BibT_eX]

[DOI]

Zhengxuan Wu

Alex Tamkin

Isabel Papadimitriou

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Multispectral Contrastive Learning with Viewmaker Networks.

[BibT_eX]

[DOI]

Jasmine Bayrooti

Noah D. Goodman

Alex Tamkin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Oolong: Investigating What Makes Crosslingual Transfer Hard with Controlled Studies.

[BibT_eX]

[DOI]

Zhengxuan Wu

Isabel Papadimitriou

Alex Tamkin

CoRR, 2022

Active Learning Helps Pretrained Models Learn the Intended Task.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DABS 2.0: Improved Datasets and Algorithms for Universal Self-Supervision.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Tradeoffs Between Contrastive and Supervised Learning: An Empirical Study.

[BibT_eX]

[DOI]

CoRR, 2021

C5T5: Controllable Generation of Organic Molecules with Transformers.

[BibT_eX]

[DOI]

CoRR, 2021

Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2021

DABS: a Domain-Agnostic Benchmark for Self-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Viewmaker Networks: Learning Views for Unsupervised Representation Learning.

[BibT_eX]

[DOI]

Alex Tamkin

Mike Wu

Noah D. Goodman

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Language Through a Prism: A Spectral Approach for Multiscale Language Representations.

[BibT_eX]

[DOI]

Alex Tamkin

Dan Jurafsky

Noah D. Goodman

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Investigating Transferability in Pretrained Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Recursive Routing Networks: Learning to Compose Modules for Language Understanding.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Drone.io: A Gestural and Visual Interface for Human-Drone Interaction.

[BibT_eX]

[DOI]

Proceedings of the 14th ACM/IEEE International Conference on Human-Robot Interaction, 2019

Alex Tamkin

Timeline

Legend:

Links

On csauthors.net:

Bibliography

Loading...