---
title: "Yejin Choi — papers of 2023 — 12 papers, the most cited first"
description: "Yejin Choi — papers of 2023: 12 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Yejin Choi — papers of 2023 — 12 papers, the most cited first

12 papers · [all years of Yejin Choi](https://md.research.elamur.ai/free/en/authors/yejin-choi/#years)

**[SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization](https://md.research.elamur.ai/free/en/papers/kim-2023-soda-million-scale-dialogue-distillation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Hyunwoo Kim, Jack Hessel, Liwei Jiang, et al.*2023 · 202 citations*

- [The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning arXiv:2312.01552](https://md.research.elamur.ai/free/en/papers/lin-2023-unlocking-spell-base-llms-rethinking/) — Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, et al. · 2023 · 150 citations

**[Symbolic Chain-of-Thought Distillation: Small Models Can Also “Think” Step-by-Step](https://md.research.elamur.ai/free/en/papers/li-2023-symbolic-chain-thought-distillation-small/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Liunian Harold Li, Jack Hessel, Youngjae Yu, et al.*2023 · 140 citations*

**[Do Androids Laugh at Electric Sheep? Humor “Understanding” Benchmarks from The New Yorker Caption Contest](https://md.research.elamur.ai/free/en/papers/hessel-2023-do-androids-laugh-electric-sheep/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jack Hessel, Ana Marasovic, Jena D. Hwang, et al.*2023 · 112 citations*

**[SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks](https://md.research.elamur.ai/free/en/papers/lin-2023-swiftsage-generative-agent-fast-slow/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Bill Yuchen Lin, Yicheng Fu, Karina Yang, et al.*2023 · 110 citations*

**[We're Afraid Language Models Aren't Modeling Ambiguity](https://md.research.elamur.ai/free/en/papers/liu-2023-we-re-afraid-language-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Alisa Liu, Zhaofeng Wu, Julian Michael, et al.*2023 · 110 citations*

- [Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging arXiv:2310.11564](https://md.research.elamur.ai/free/en/papers/jang-2023-personalized-soups-personalized-large-language/) — Joel Jang, Seungone Kim, Bill Yuchen Lin, et al. · 2023 · 102 citations

**[Minding Language Models' (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief Tracker](https://md.research.elamur.ai/free/en/papers/sclar-2023-minding-language-models-lack-theory/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Melanie Sclar, Sachin Kumar, Peter West, et al.*2023 · 76 citations*

- [Don't throw away your value model! Generating more preferable text with Value-Guided Monte-Carlo Tree Search decoding arXiv:2309.15028](https://md.research.elamur.ai/free/en/papers/liu-2023-don-t-throw-away-value/) — Jiacheng Liu, Andrew Cohen, Ramakanth Pasunuru, et al. · 2023 · 46 citations
- [Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing arXiv:2305.16635](https://md.research.elamur.ai/free/en/papers/jung-2023-impossible-distillation-low-quality-model/) — Jaehun Jung, Peter West, Liwei Jiang, et al. · 2023 · 36 citations
- [PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) Planning arXiv:2305.19472](https://md.research.elamur.ai/free/en/papers/brahman-2023-plasma-making-small-language-models/) — Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin, et al. · 2023 · 25 citations

**[Tailoring Self-Rationalizers with Multi-Reward Distillation](https://md.research.elamur.ai/free/en/papers/ramnath-2023-tailoring-self-rationalizers-multi-reward/) [International Conference on Learning Representations (ICLR)](https://md.research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/)**Sahana Ramnath, Brihi Joshi, Skyler Hallinan, et al.*2023 · 14 citations*
