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conftrace_

language modeling

723 papers

LM

Papers

LLM-Assisted Code Cleaning For Training Accurate Code Generators ICLR 2024 Mission: Impossible Language Models ACL 2024 MoEUT: Mixture-of-Experts Universal Transformers NeurIPS 2024 More room for language: Investigating the effect of retrieval on language models NAACL 2024 Neurocache: Efficient Vector Retrieval for Long-range Language Modeling NAACL 2024 OLMo: Accelerating the Science of Language Models ACL 2024 One-Vs-Rest Neural Network English Grapheme Segmentation: A Linguistic Perspective CoNLL 2024 On Retrieval Augmentation and the Limitations of Language Model Training NAACL 2024 On the Effect of (Near) Duplicate Subwords in Language Modelling ACL 2024 On the Power of Decision Trees in Auto-Regressive Language Modeling NeurIPS 2024 Parallelizing Linear Transformers with the Delta Rule over Sequence Length NeurIPS 2024 Phonetic Enhanced Language Modeling for Text-to-Speech Synthesis Interspeech 2024 Predictor-Corrector Enhanced Transformers with Exponential Moving Average Coefficient Learning NeurIPS 2024 ProtLLM: An Interleaved Protein-Language LLM with Protein-as-Word Pre-Training ACL 2024 PyramidCodec: Hierarchical Codec for Long-form Music Generation in Audio Domain EMNLP 2024 Quantifying the Role of Textual Predictability in Automatic Speech Recognition Interspeech 2024 REBEL: Reinforcement Learning via Regressing Relative Rewards NeurIPS 2024 Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling ACL 2024 RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content NeurIPS 2024 REPLUG: Retrieval-Augmented Black-Box Language Models NAACL 2024 Retrieval and Reasoning on KGs: Integrate Knowledge Graphs into Large Language Models for Complex Question Answering EMNLP 2024 Scaling Laws for Linear Complexity Language Models EMNLP 2024 Scaling Retrieval-Based Language Models with a Trillion-Token Datastore NeurIPS 2024 SEA: Sparse Linear Attention with Estimated Attention Mask ICLR 2024 Selective Attention: Enhancing Transformer through Principled Context Control NeurIPS 2024