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Language Modeling

2,579 papers

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Papers

Learning Formal Mathematics From Intrinsic Motivation NIPS 2024
MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization NIPS 2024
Block Transformer: Global-to-Local Language Modeling for Fast Inference NIPS 2024
REBEL: Reinforcement Learning via Regressing Relative Rewards NIPS 2024
Causal language modeling can elicit search and reasoning capabilities on logic puzzles NIPS 2024
Algorithmic progress in language models NIPS 2024
Self-Supervised Alignment with Mutual Information: Learning to Follow Principles without Preference Labels NIPS 2024
On the Power of Decision Trees in Auto-Regressive Language Modeling NIPS 2024
Paloma: A Benchmark for Evaluating Language Model Fit NIPS 2024
Co-occurrence is not Factual Association in Language Models NIPS 2024
Language Generation in the Limit NIPS 2024
Chain-of-Thought Reasoning Without Prompting NIPS 2024
Instruction Tuning With Loss Over Instructions NIPS 2024
Training Compute-Optimal Protein Language Models NIPS 2024
Improving Context-Aware Preference Modeling for Language Models NIPS 2024
On the Inductive Bias of Stacking Towards Improving Reasoning NIPS 2024
Order-Independence Without Fine Tuning NIPS 2024
On Affine Homotopy between Language Encoders NIPS 2024
Nearest Neighbor Speculative Decoding for LLM Generation and Attribution NIPS 2024
Towards a theory of how the structure of language is acquired by deep neural networks NIPS 2024
Multi-language Diversity Benefits Autoformalization NIPS 2024
FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model NIPS 2024
SocraticLM: Exploring Socratic Personalized Teaching with Large Language Models NIPS 2024
Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge NIPS 2024
Scaling Retrieval-Based Language Models with a Trillion-Token Datastore NIPS 2024