---
title: "Heng Ji — papers of 2023 — 6 papers, the most cited first"
description: "Heng Ji — papers of 2023: 6 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/heng-ji/year/2023/"
---
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# Heng Ji — papers of 2023 — 6 papers, the most cited first

6 papers · [all years of Heng Ji](https://md.research.elamur.ai/free/en/authors/heng-ji/#years)

**[Factuality Challenges in the Era of Large Language Models](https://md.research.elamur.ai/free/en/papers/augenstein-2023-factuality-challenges-era-large-language/) [Nature Machine Intelligence](https://md.research.elamur.ai/free/en/venues/nature-machine-intelligence/)**Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha, et al.*2023 · 243 citations*

- [MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback arXiv:2309.10691](https://md.research.elamur.ai/free/en/papers/wang-2023-mint-evaluating-llms-multi-turn/) — Xingyao Wang, Zihan Wang, Jiateng Liu, et al. · 2023 · 141 citations
- [Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration arXiv:2307.05300](https://md.research.elamur.ai/free/en/papers/wang-2023-unleashing-emergent-cognitive-synergy-large/) — Zhenhailong Wang, Shaoguang Mao, Wenshan Wu, et al. · 2023 · 140 citations

**[Code4Struct: Code Generation for Few-Shot Event Structure Prediction](https://md.research.elamur.ai/free/en/papers/wang-2023-code4struct-code-generation-few-shot/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xingyao Wang, Sha Li, Heng Ji*2023 · 128 citations*

**[CREATOR: Tool Creation for Disentangling Abstract and Concrete Reasoning of Large Language Models](https://md.research.elamur.ai/free/en/papers/qian-2023-creator-tool-creation-disentangling-abstract/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Cheng Qian, Chi Han, Yi Fung, et al.*2023 · 75 citations*

- [Understanding Emergent In-Context Learning from a Kernel Regression Perspective arXiv:2305.12766](https://md.research.elamur.ai/free/en/papers/han-2023-understanding-emergent-context-learning-kernel/) — Chi Han, Ziqi Wang, Han Zhao, et al. · 2023 · 21 citations
