LOFT: Scalable and More Realistic Long-Context Evaluation.
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025
Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
CoRR, 2024
Few-Shot Recalibration of Language Models.
CoRR, 2024
PURR: Efficiently Editing Language Model Hallucinations by Denoising Language Model Corruptions.
CoRR, 2023
Simfluence: Modeling the Influence of Individual Training Examples by Simulating Training Runs.
CoRR, 2023
Promptagator: Few-shot Dense Retrieval From 8 Examples.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
RARR: Researching and Revising What Language Models Say, Using Language Models.
,
,
,
,
,
,
,
,
,
,
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Attributed Text Generation via Post-hoc Research and Revision.
,
,
,
,
,
,
,
,
,
,
CoRR, 2022
Tracing Knowledge in Language Models Back to the Training Data.
CoRR, 2022
Dialog Inpainting: Turning Documents into Dialogs.
Proceedings of the International Conference on Machine Learning, 2022
Finetuned Language Models are Zero-Shot Learners.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Meta-Learning Fast Weight Language Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Towards Tracing Knowledge in Language Models Back to the Training Data.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Unlocking Compositional Generalization in Pre-trained Models Using Intermediate Representations.
CoRR, 2021
Neural Data Augmentation via Example Extrapolation.
CoRR, 2021
Controllable Semantic Parsing via Retrieval Augmentation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Learning Abstract Models for Strategic Exploration and Fast Reward Transfer.
CoRR, 2020
REALM: Retrieval-Augmented Language Model Pre-Training.
CoRR, 2020
Retrieval Augmented Language Model Pre-Training.
Proceedings of the 37th International Conference on Machine Learning, 2020
Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
KERMIT: Generative Insertion-Based Modeling for Sequences.
CoRR, 2019
Generating Sentences by Editing Prototypes.
Trans. Assoc. Comput. Linguistics, 2018
Transforming Question Answering Datasets Into Natural Language Inference Datasets.
CoRR, 2018
A Retrieve-and-Edit Framework for Predicting Structured Outputs.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Reinforcement Learning on Web Interfaces using Workflow-Guided Exploration.
Proceedings of the 6th International Conference on Learning Representations, 2018
Mapping natural language commands to web elements.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017
Traversing Knowledge Graphs in Vector Space.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015