Search Results for author:
Found 6 papers, 4 papers with code
PrefScore: Pairwise Preference Learning for Reference-free Summarization Quality Assessment
Evaluating machine-generated summaries without a human-written reference summary has been a need for a long time.
DocAsRef: An Empirical Study on Repurposing Reference-Based Summary Quality Metrics Reference-Freely
Automated summary quality assessment falls into two categories: reference-based and reference-free.
Circuit Routing Using Monte Carlo Tree Search and Deep Neural Networks
Like finding paths between pairs of locations, circuit routing generates traces of wires to connect contacts or leads of circuit components.
Triaging moderate COVID-19 and other viral pneumonias from routine blood tests
The COVID-19 is sweeping the world with deadly consequences.
SueNes: A Weakly Supervised Approach to Evaluating Single-Document Summarization via Negative Sampling
Canonical automatic summary evaluation metrics, such as ROUGE, focus on lexical similarity which cannot well capture semantics nor linguistic quality and require a reference summary which is costly to obtain.
RLScheduler: An Automated HPC Batch Job Scheduler Using Reinforcement Learning
Today high-performance computing (HPC) platforms are still dominated by batch jobs.
