v1v2 (latest)
Inducing Character-level Structure in Subword-based Language Models with
Type-level Interchange Intervention Training
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Papers citing "Inducing Character-level Structure in Subword-based Language Models with Type-level Interchange Intervention Training"
14 / 14 papers shown
Title |
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 EXECUTE: A Multilingual Benchmark for LLM Token UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL), 2025 |
 MrT5: Dynamic Token Merging for Efficient Byte-level Language ModelsInternational Conference on Learning Representations (ICLR), 2024 |
 Retrieval Augmented Spelling Correction for E-Commerce ApplicationsConference on Empirical Methods in Natural Language Processing (EMNLP), 2024 |
 CUTE: Measuring LLMs' Understanding of Their TokensConference on Empirical Methods in Natural Language Processing (EMNLP), 2024 |
 ReFT: Representation Finetuning for Language ModelsNeural Information Processing Systems (NeurIPS), 2024 |
 Rigorously Assessing Natural Language Explanations of NeuronsBlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP), 2023 |
 Causal interventions expose implicit situation models for commonsense
language understandingAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 |
 ScoNe: Benchmarking Negation Reasoning in Language Models With
Fine-Tuning and In-Context LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 |
 Interpretability at Scale: Identifying Causal Mechanisms in AlpacaNeural Information Processing Systems (NeurIPS), 2023 |
