---
title: "Chitta Baral — papers of 2024 — 4 papers, the most cited first"
description: "Chitta Baral — papers of 2024: 4 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Chitta Baral — papers of 2024 — 4 papers, the most cited first

4 papers · [all years of Chitta Baral](https://md.research.elamur.ai/free/en/authors/chitta-baral/#years)

**[LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language Models](https://md.research.elamur.ai/free/en/papers/parmar-2024-logicbench-systematic-evaluation-logical-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mihir Parmar, Nisarg Patel, Neeraj Varshney, et al.*2024 · 93 citations*

**[Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability of Large Language Models](https://md.research.elamur.ai/free/en/papers/patel-2024-multi-logieval-evaluating-multi-step/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Nisarg Patel, Mohith Kulkarni, Mihir Parmar, et al.*2024 · 39 citations*

- [When "Competency" in Reasoning Opens the Door to Vulnerability: Jailbreaking LLMs via Novel Complex Ciphers arXiv:2402.10601](https://md.research.elamur.ai/free/en/papers/handa-2024-competency-reasoning-opens-door-vulnerability/) — Divij Handa, Zehua Zhang, Amir Saeidi, et al. · 2024 · 15 citations
- [Cutting Through the Noise: Boosting LLM Performance on Math Word Problems](https://md.research.elamur.ai/free/en/papers/anantheswaran-2024-cutting-through-noise-boosting-llm/) — Ujjwala Anantheswaran, Himanshu Gupta, Kevin Scaria, et al. · Mova's core list · 7 citations
