Leon Bergen

Orcid: 0009-0001-1445-5247

According to our database1, Leon Bergen authored at least 29 papers between 2012 and 2026.

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Bibliography

2026
CT Open: An Open-Access, Uncontaminated, Live Platform for the Open Challenge of Clinical Trial Outcome Prediction.
CoRR, April, 2026

Quiet Feature Learning in Algorithmic Tasks.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
The Surprising Soupability of Documents in State Space Models.
CoRR, May, 2025

EvidenceBench: A Benchmark for Extracting Evidence from Biomedical Papers.
CoRR, April, 2025

Single-Pass Document Scanning for Question Answering.
CoRR, April, 2025

Adapting While Learning: Grounding LLMs for Scientific Problems with Tool Usage Adaptation.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

ClimaQA: An Automated Evaluation Framework for Climate Question Answering Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Measuring Risk of Bias in Biomedical Reports: The RoBBR Benchmark.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024
Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptation.
CoRR, 2024

ClimaQA: An Automated Evaluation Framework for Climate Foundation Models.
CoRR, 2024

Dissociation of Faithful and Unfaithful Reasoning in LLMs.
CoRR, 2024

BIRCO: A Benchmark of Information Retrieval Tasks with Complex Objectives.
CoRR, 2024

IR2: Information Regularization for Information Retrieval.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023
Scalar Implicature is Sensitive to Contextual Alternatives.
Cogn. Sci., February, 2023

DORIS-MAE: Scientific Document Retrieval using Multi-level Aspect-based Queries.
CoRR, 2023

Scientific Document Retrieval using Multi-level Aspect-based Queries.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Simplicity and learning to distinguish arguments from modifiers.
J. Lang. Model., 2022

2021
Jointly Learning Truth-Conditional Denotations and Groundings using Parallel Attention.
CoRR, 2021

Systematic Generalization with Edge Transformers.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Word Frequency Does Not Predict Grammatical Knowledge in Language Models.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Predicting Reference: What do Language Models Learn about Discourse Models?
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Speakers enhance contextually confusable words.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Constraint-based Learning of Phonological Processes.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2017
Mildly context sensitive grammar induction and variational bayesian inference.
CoRR, 2017

2014
Formalizing the Pragmatics of Metaphor Understanding.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

The strategic use of noise in pragmatic reasoning.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

2013
Arguments and Modifiers from the Learner's Perspective.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
Verb omission errors: Evidence of rational processing of noisy language inputs.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

That's what she (could have) said: How alternative utterances affect language use.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012


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