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Found 4 papers, 2 papers with code
Predicting Emergent Abilities with Infinite Resolution Evaluation
With PassUntil, we conduct a quantitative investigation into the scaling law of task performance.
A Curriculum View of Robust Loss Functions
Robust loss functions are designed to combat the adverse impacts of label noise, whose robustness is typically supported by theoretical bounds agnostic to the training dynamics.
GEMINI: Controlling the Sentence-level Writing Style for Abstractive Text Summarization
To address this issue, we propose an adaptive model, GEMINI, that integrates a rewriter and a generator to mimic the sentence rewriting and abstracting techniques, respectively.
On the Role of Pre-trained Language Models in Word Ordering: A Case Study with BART
Word ordering is a constrained language generation task taking unordered words as input.
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