Natural Language Processing › Generation ›

Language Modeling

1624 directly classified papers

Papers per year

Papers

Geographical Erasure in Language Generation EMNLP 2023

Contrastive Deterministic Autoencoders For Language Modeling EMNLP 2023

Frequency Balanced Datasets Lead to Better Language Models EMNLP 2023

Transformer Working Memory Enables Regular Language Reasoning And Natural Language Length Extrapolation EMNLP 2023

Three Questions Concerning the Use of Large Language Models to Facilitate Mathematics Learning EMNLP 2023

Efficient Long-Range Transformers: You Need to Attend More, but Not Necessarily at Every Layer EMNLP 2023

RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling EMNLP 2023

Manipulating the Perceived Personality Traits of Language Models EMNLP 2023

Is ChatGPT a Good NLG Evaluator? A Preliminary Study EMNLP 2023

Narrative Cloze as a Training Objective: Towards Modeling Stories Using Narrative Chain Embeddings ACL 2023

DSPM-NLG: A Dual Supervised Pre-trained Model for Few-shot Natural Language Generation in Task-oriented Dialogue System ACL 2023

Exploring the Effectiveness of Prompt Engineering for Legal Reasoning Tasks ACL 2023

Language Model Personalization for Improved Touchscreen Typing INTERSPEECH 2023

How to Control Sentiment in Text Generation: A Survey of the State-of-the-Art in Sentiment-Control Techniques ACL 2023

A Measure-Theoretic Characterization of Tight Language Models ACL 2023

Backpack Language Models ACL 2023

Characterizing Mechanisms for Factual Recall in Language Models EMNLP 2023

Frustratingly Easy Label Projection for Cross-lingual Transfer ACL 2023

Leveraging Training Data in Few-Shot Prompting for Numerical Reasoning ACL 2023

Pushdown Layers: Encoding Recursive Structure in Transformer Language Models EMNLP 2023

Adapting Language Models to Compress Contexts EMNLP 2023

A Natural Bias for Language Generation Models ACL 2023

Why LLMs Hallucinate, and How to Get (Evidential) Closure: Perceptual, Intensional, and Extensional Learning for Faithful Natural Language Generation EMNLP 2023

Language Model is Suitable for Correction of Handwritten Mathematical Expressions Recognition EMNLP 2023

LM vs LM: Detecting Factual Errors via Cross Examination EMNLP 2023