Belinda Z. Li

Orcid: 0000-0002-9961-180X

According to our database1, Belinda Z. Li authored at least 22 papers between 2020 and 2025.

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Bibliography

2025
Training Language Models to Explain Their Own Computations.
CoRR, November, 2025

QuestBench: Can LLMs ask the right question to acquire information in reasoning tasks?
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Language Modeling with Editable External Knowledge.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

(How) Do Language Models Track State?
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Eliciting Human Preferences with Language Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Bayesian Preference Elicitation with Language Models.
CoRR, 2024

Learning with Language-Guided State Abstractions.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Preference-Conditioned Language-Guided Abstraction.
Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

Adaptive Language-Guided Abstraction from Contrastive Explanations.
Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023
Measuring and Manipulating Knowledge Representations in Language Models.
CoRR, 2023

LaMPP: Language Models as Probabilistic Priors for Perception and Action.
CoRR, 2023

Language Modeling with Latent Situations.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Toward Interactive Dictation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Quantifying Adaptability in Pre-trained Language Models with 500 Tasks.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021
On Unifying Misinformation Detection.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

On the Influence of Masking Policies in Intermediate Pre-training.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Implicit Representations of Meaning in Neural Language Models.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Studying Strategically: Learning to Mask for Closed-book QA.
CoRR, 2020

Linformer: Self-Attention with Linear Complexity.
CoRR, 2020

Language Models as Fact Checkers?
CoRR, 2020

Efficient One-Pass End-to-End Entity Linking for Questions.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Active Learning for Coreference Resolution using Discrete Annotation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020


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