Search Results for author:
Found 4 papers, 4 papers with code
CodeBenchGen: Creating Scalable Execution-based Code Generation Benchmarks
To demonstrate the complexity and solvability of examples in Exec-CSN, we present a human study demonstrating that 81. 3% of the examples can be solved by humans and 61% are rated as "requires effort to solve".
Rationale-Guided Few-Shot Classification to Detect Abusive Language
We introduce two rationale-integrated BERT-based architectures (the RGFS models) and evaluate our systems over five different abusive language datasets, finding that in the few-shot classification setting, RGFS-based models outperform baseline models by about 7% in macro F1 scores and perform competitively to models finetuned on other source domains.
A Unified Framework for Pun Generation with Humor Principles
We propose a unified framework to generate both homophonic and homographic puns to resolve the split-up in existing works.
CABACE: Injecting Character Sequence Information and Domain Knowledge for Enhanced Acronym and Long-Form Extraction
Acronyms and long-forms are commonly found in research documents, more so in documents from scientific and legal domains.
