--- title: "Yejin Choi — papers, page 4 · Stanford University" description: "Yejin Choi, Stanford University: 82 papers on Elamur Research (2005–2026), h-index 84 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/yejin-choi/page/4/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yejin-choi/page/4/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Yejin Choi](https://md.research.elamur.ai/free/en/authors/yejin-choi/) / page 4 # Yejin Choi · page 4 82 papers in our library · 2005–2026 · page 4 of 4 [The profile, affiliations and co-authors →](https://md.research.elamur.ai/free/en/authors/yejin-choi/) ## Papers The most cited first (OpenAlex and our library). [← prev](https://md.research.elamur.ai/free/en/authors/yejin-choi/page/3/) [1](https://md.research.elamur.ai/free/en/authors/yejin-choi/) [2](https://md.research.elamur.ai/free/en/authors/yejin-choi/page/2/) [3](https://md.research.elamur.ai/free/en/authors/yejin-choi/page/3/) **4** 76. **[Biased LLMs can Influence Political Decision-Making](https://md.research.elamur.ai/free/en/papers/fisher-2025-biased-llms-can-influence-political/)** *(2025 · 20 citations)* The paper asks whether partisan bias in chat-based LLMs can change people's political views and choices during short, free-form conversations. 77. **[StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements](https://md.research.elamur.ai/free/en/papers/fisher-2024-styleremix-interpretable-authorship-obfuscation-distillation/)** *(2024 · 16 citations)* Authorship obfuscation rewrites a text so that its author is hard to identify, while keeping the content and fluency. 78. **[When One LLM Drools, Multi-LLM Collaboration Rules](https://md.research.elamur.ai/free/en/papers/feng-2026-when-one-llm-drools-multi/)** *(2026 · 14 citations)* This position paper by Feng et al. (ACL 2026) argues that a single general-purpose LLM cannot reliably handle complex, context-dependent, or subjective settings. It contributes no new dataset or model. Instead, it makes a conceptual case that any one model leaves gaps on three fronts. It misses parts of real-world… 79. **[Tailoring Self-Rationalizers with Multi-Reward Distillation](https://md.research.elamur.ai/free/en/papers/ramnath-2023-tailoring-self-rationalizers-multi-reward/)** *(2023 · 14 citations)* Free-text rationales from language models are usually judged only by whether they raise answer accuracy, and good self-rationalization has been thought to require very large models such as 175B GPT-3. 80. **[Nemotron-CrossThink: Scaling Self-Learning beyond Math Reasoning](https://md.research.elamur.ai/free/en/papers/akter-2026-nemotron-crossthink-scaling-self-learning/)** *(2026 · 9 citations)* Reinforcement learning (RL) has improved LLM reasoning mainly in math and code, where answers can be checked automatically. 81. **[Towards Execution-Grounded Automated AI Research](https://md.research.elamur.ai/free/en/papers/si-2026-towards-execution-grounded-automated-ai/)** *(2026 · 7 citations)* LLMs can propose research ideas that sound convincing but fail when tested. This paper asks two questions: can idea testing be automated at scale, and can models improve from the measured results? The authors built an automated executor. An Implementer turns natural-language ideas into code diffs, a Scheduler assigns… 82. **[Detecting English Writing Styles For Non Native Speakers](https://md.research.elamur.ai/free/en/papers/chen-2017-detecting-english-writing-styles-non/)** *(2017 · 1 citation)* The authors try to guess an English writer's native language from everyday, informal text at a much larger scale than earlier learner-corpus studies such as ICLE. [← prev](https://md.research.elamur.ai/free/en/authors/yejin-choi/page/3/) [1](https://md.research.elamur.ai/free/en/authors/yejin-choi/) [2](https://md.research.elamur.ai/free/en/authors/yejin-choi/page/2/) [3](https://md.research.elamur.ai/free/en/authors/yejin-choi/page/3/) **4**