Adam Fisch

According to our database1, Adam Fisch authored at least 31 papers between 2016 and 2024.

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Bibliography

2024
Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning.
CoRR, 2024

Stratified Prediction-Powered Inference for Hybrid Language Model Evaluation.
CoRR, 2024

Block Transformer: Global-to-Local Language Modeling for Fast Inference.
CoRR, 2024

Robust Preference Optimization through Reward Model Distillation.
CoRR, 2024

Bayesian Prediction-Powered Inference.
CoRR, 2024

Mitigating LLM Hallucinations via Conformal Abstention.
CoRR, 2024

Conformal Language Modeling.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Conformal Risk Control.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Conformal Methods for Efficient and Reliable Deep Learning
PhD thesis, 2023

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.
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Trans. Mach. Learn. Res., 2023

Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking.
CoRR, 2023

Risk-Controlling Model Selection via Guided Bayesian Optimization.
CoRR, 2023

Towards Robust and Efficient Continual Language Learning.
CoRR, 2023

Efficiently Controlling Multiple Risks with Pareto Testing.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Calibrated Selective Classification.
Trans. Mach. Learn. Res., 2022

Confident Adaptive Language Modeling.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Conformal Prediction Sets with Limited False Positives.
Proceedings of the International Conference on Machine Learning, 2022

2021
Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Few-Shot Conformal Prediction with Auxiliary Tasks.
Proceedings of the 38th International Conference on Machine Learning, 2021

Efficient Conformal Prediction via Cascaded Inference with Expanded Admission.
Proceedings of the 9th International Conference on Learning Representations, 2021

Consistent Accelerated Inference via Confident Adaptive Transformers.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Making Pre-trained Language Models Better Few-shot Learners.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
CapWAP: Captioning with a Purpose.
CoRR, 2020

Relaxed Conformal Prediction Cascades for Efficient Inference Over Many Labels.
CoRR, 2020

CapWAP: Image Captioning with a Purpose.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Working Hard or Hardly Working: Challenges of Integrating Typology into Neural Dependency Parsers.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension.
Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019

2018
StarSpace: Embed All The Things!
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
ParlAI: A Dialog Research Software Platform.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Reading Wikipedia to Answer Open-Domain Questions.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Key-Value Memory Networks for Directly Reading Documents.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016


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