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Found 6 papers, 1 papers with code
Principled Gradient-based Markov Chain Monte Carlo for Text Generation
Recent papers have demonstrated the possibility of energy-based text generation by adapting gradient-based sampling algorithms, a paradigm of MCMC algorithms that promises fast convergence.
On Retrieval Augmentation and the Limitations of Language Model Training
Augmenting a language model (LM) with $k$-nearest neighbors ($k$NN) retrieval on its training data alone can decrease its perplexity, though the underlying reasons for this remain elusive.
BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer
Despite remarkable advancements in few-shot generalization in natural language processing, most models are developed and evaluated primarily in English.
MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text Generation
We propose MURMUR, a neuro-symbolic modular approach to text generation from semi-structured data with multi-step reasoning.
CREPE: Open-Domain Question Answering with False Presuppositions
We find that 25% of questions contain false presuppositions, and provide annotations for these presuppositions and their corrections.
Beyond Counting Datasets: A Survey of Multilingual Dataset Construction and Necessary Resources
While the NLP community is generally aware of resource disparities among languages, we lack research that quantifies the extent and types of such disparity.
