5 citations · 5 across the 2 of their papers we have counts for
4 papers · 1 filter
The Path Matters: Learning a Token-Commitment Policy for Diffusion Language Models
Bohang Sun, Max Zhu, Francesco Caso +5
Diffusion large language models promise faster generation by refining many token positions in parallel, but this parallelism introduces a hidden control problem: which proposed tok…
Language Model Knowledge Distillation for Efficient Question Answering in Spanish
Adrián Bazaga, Pietro Liò, Gos Micklem
Recent advances in the development of pre-trained Spanish language models has led to significant progress in many Natural Language Processing (NLP) tasks, such as question answerin…
SQLformer: Deep Auto-Regressive Query Graph Generation for Text-to-SQL Translation
Adrián Bazaga, Pietro Liò, Gos Micklem
In recent years, the task of text-to-SQL translation, which converts natural language questions into executable SQL queries, has gained significant attention for its potential to d…
Unsupervised Pretraining for Fact Verification by Language Model Distillation
Adrián Bazaga, Pietro Liò, Gos Micklem
Fact verification aims to verify a claim using evidence from a trustworthy knowledge base. To address this challenge, algorithms must produce features for every claim that are both…