Bhargavi Paranjape

Weighted Global Normalization for Multiple Choice Reading Comprehension\n over Long Documents

2018 · arXiv (Cornell University)

Motivated by recent evidence pointing out the fragility of high-performing\nspan prediction models, we direct our attention to multiple choice reading\ncomprehension. In particular, this work introduces a novel method for improving\nanswer selection on long documents through …

ART: Automatic multi-step reasoning and tool-use for large language models

2023 · arXiv (Cornell University)

Large language models (LLMs) can perform complex reasoning in few- and zero-shot settings by generating intermediate chain of thought (CoT) reasoning steps. Further, each reasoning step can rely on external tools to support computation beyond …