---
title: "Raghav Jain — papers of 2023 — 2 papers, the most cited first"
description: "Raghav Jain — papers of 2023: 2 papers on Elamur Research, the most cited first — what each work is about in our own words."
canonical: "https://research.elamur.ai/free/en/authors/raghav-jain/year/2023/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/raghav-jain/year/2023/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Raghav Jain](https://md.research.elamur.ai/free/en/authors/raghav-jain/) / 2023

# Raghav Jain — papers of 2023 — 2 papers, the most cited first

2 papers · [all years of Raghav Jain](https://md.research.elamur.ai/free/en/authors/raghav-jain/#years)

**[Do Language Models Have a Common Sense regarding Time? Revisiting Temporal Commonsense Reasoning in the Era of Large Language Models](https://md.research.elamur.ai/free/en/papers/jain-2023-do-language-models-have-common/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Raghav Jain, Daivik Sojitra, Arkadeep Acharya, et al.*2023 · 67 citations*

- [Large Language Models as Tax Attorneys: A Case Study in Legal Capabilities Emergence arXiv:2306.07075](https://md.research.elamur.ai/free/en/papers/nay-2023-large-language-models-tax-attorneys/) — John J. Nay, David Karamardian, Sarah B. Lawsky, et al. · 2023 · 49 citations