22 citations · 24 across the 4 of their papers we have counts for
4 papers
Progressive Content Refinement with Decaying Reward Joint LinUCB
Shion Ishikawa, Pablo Loyola, Young-joo Chung +1
Iterative refinement has significantly enhanced Large Language Model (LLM) performance; however, existing methods ranging from feedback-based Self-Refine to traditional bandit appr…
An Edit-centric Approach for Wikipedia Article Quality Assessment
Edison Marrese-Taylor, Pablo Loyola, Yutaka Matsuo
We propose an edit-centric approach to assess Wikipedia article quality as a complementary alternative to current full document-based techniques. Our model consists of a main class…
Refining Raw Sentence Representations for Textual Entailment Recognition via Attention
Jorge A. Balazs, Edison Marrese-Taylor, Pablo Loyola +1
In this paper we present the model used by the team Rivercorners for the 2017 RepEval shared task. First, our model separately encodes a pair of sentences into variable-length repr…
A Neural Architecture for Generating Natural Language Descriptions from Source Code Changes
Pablo Loyola, Edison Marrese-Taylor, Yutaka Matsuo
We propose a model to automatically describe changes introduced in the source code of a program using natural language. Our method receives as input a set of code commits, which co…