An Analysis of Neural Language Modeling at Multiple Scales
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Abstract (arXiv)
Many of the leading approaches in language modeling introduce novel, complex and specialized architectures. We take existing state-of-the-art word level language models based on LSTMs and QRNNs and extend them to both larger vocabularies as well as character-level granularity. When properly tuned, LSTMs and QRNNs achieve state-of-the-art results on character-level (Penn Treebank, enwik8) and word-level (WikiText-103) datasets, respectively. Results are obtained in only 12 hours (WikiText-103) to 2 days (enwik8) using a single modern GPU.
Key facts. Cited by 31 papers in the map (data through 14 Oct 2026). First posted on arXiv 22 Mar 2018.
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Citing papers per year: 2021: 13; 2022: 5; 2023: 3; 2024: 0; 2025: 4; 2026: 6.
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- 2026Support Tokens, Stability Margins, and a New Foundation for Robust LLMs25 Feb 2026
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- 2025Estimating the Effects of Sample Training Orders for Large Language Models without Retraining28 May 2025
- 2025Accelerating LLM Inference with Flexible N:M Sparsity via A Fully Digital Compute-in-Memory Accelerator19 Apr 2025
- 2025Efficient Language Modeling for Low-Resource Settings with Hybrid RNN-Transformer Architectures2 Feb 2025
- 2023Linear Log-Normal Attention with Unbiased Concentration22 Nov 2023
- 2023Minimal Effective Theory for Phonotactic Memory: Capturing Local Correlations due to Errors in Speech4 Sep 2023
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- 2023End-to-End Speech Recognition: A Survey3 Mar 2023
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- 2022Optimize_Prime@DravidianLangTech-ACL2022: Abusive Comment Detection in Tamil19 Apr 2022
- 2022Optimize_Prime@DravidianLangTech-ACL2022: Emotion Analysis in Tamil19 Apr 2022
- 2021Training and Generating Neural Networks in Compressed Weight Space31 Dec 2021
- 2021Predicting the utility of search spaces for black-box optimization: a simple, budget-aware approach15 Dec 2021
- 2021Language Modelling via Learning to Rank13 Oct 2021
- 2021Working Memory Connections for LSTM31 Aug 2021
- 2021Machine Unlearning of Features and Labels26 Aug 2021
- 2021Towards Zero-shot Language Modeling6 Aug 2021
- 2021Exploring Self-Identified Counseling Expertise in Online Support Forums24 Jun 2021
- 2021A Cognitive Regularizer for Language Modeling15 May 2021
- 2021Impact of Gender Debiased Word Embeddings in Language Modeling3 May 2021
- 2021Revisiting Simple Neural Probabilistic Language Models8 Apr 2021
- 2021Low-Resource Language Modelling of South African Languages1 Apr 2021
- 2021Contextual Text Embeddings for Twi29 Mar 2021
- 2021Subformer: Exploring Weight Sharing for Parameter Efficiency in Generative Transformers1 Jan 2021
- 2021Machine Unlearning of Features and Labelscited by 229
- 2021Machine Unlearning of Features and Labels26 Aug 2021
- 2023End-to-End Speech Recognition: A Surveycited by 129
- 2022Your Transformer May Not be as Powerful as You Expectcited by 55
- 2021Subformer: Exploring Weight Sharing for Parameter Efficiency in Generative Transformerscited by 43
- 2021A Cognitive Regularizer for Language Modelingcited by 11
- 2023Linear Log-Normal Attention with Unbiased Concentrationcited by 11
- 2021Low-Resource Language Modelling of South African Languagescited by 10
- 2021Revisiting Simple Neural Probabilistic Language Modelscited by 10
- 2021Exploring Self-Identified Counseling Expertise in Online Support Forumscited by 10
- 2021Working Memory Connections for LSTMcited by 10
- 2021Language Modelling via Learning to Rankcited by 7
- 2021Training and Generating Neural Networks in Compressed Weight Spacecited by 4
- 2021Towards Zero-shot Language Modelingcited by 3
12 most cited of 27 All 27 (JSON)
- 2026Long-Context Modeling via GSS-Transformer Hybrid Architecture with Learnable Mixing15 Jun 2026
- 2026GPUTOK: GPU Accelerated Byte Level BPE Tokenization3 Mar 2026
- 2026Support Tokens, Stability Margins, and a New Foundation for Robust LLMs25 Feb 2026
- 2026Consistency Deep Equilibrium Models3 Feb 2026
- 2025Estimating the Effects of Sample Training Orders for Large Language Models without Retraining28 May 2025
- 2025Accelerating LLM Inference with Flexible N:M Sparsity via A Fully Digital Compute-in-Memory Accelerator19 Apr 2025
- 2025Efficient Language Modeling for Low-Resource Settings with Hybrid RNN-Transformer Architectures2 Feb 2025
- 2023Linear Log-Normal Attention with Unbiased Concentration22 Nov 2023
- 2023Minimal Effective Theory for Phonotactic Memory: Capturing Local Correlations due to Errors in Speech4 Sep 2023
- 2023End-to-End Speech Recognition: A Survey3 Mar 2023
- 2022Generative Adversarial Training Can Improve Neural Language Models2 Nov 2022
- 2022N-gram Is Back: Residual Learning of Neural Text Generation with n-gram Language Model26 Oct 2022
12 newest of 27 All 27 (JSON)