--- title: "Who cites STaR-GATE: Teaching Language — 38 citing papers" description: "38 papers of the Elamur Research library cite «STaR-GATE: Teaching Language Models to Ask Clarifying Questions», found in their…" canonical: "https://research.elamur.ai/free/en/papers/andukuri-2024-star-gate-teaching-language-models/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/andukuri-2024-star-gate-teaching-language-models/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [STaR-GATE: Teaching Language Models to Ask…](https://md.research.elamur.ai/free/en/papers/andukuri-2024-star-gate-teaching-language-models/) / cited by # Who cites «STaR-GATE: Teaching Language Models to Ask Clarifying Questions» 38 papers of our library cite it (of the 149,439 whose bibliographies we read) · 10 with a page here, the most cited first · [← back to «STaR-GATE: Teaching Language Models to Ask Clarifying Questions»](https://md.research.elamur.ai/free/en/papers/andukuri-2024-star-gate-teaching-language-models/) 1. **[MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical Reasoning](https://md.research.elamur.ai/free/en/papers/li-2024-mediq-question-asking-llms-benchmark/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Shuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, et al.*2024 · 74 citations* 2. [**From r to Q*: Your Language Model is Secretly a Q-Function arXiv:2404.12358**Rafael Rafailov, Joey Hejna, Ryan Park, et al.*2024 · 72 citations*](https://md.research.elamur.ai/free/en/papers/rafailov-2024-r-q-language-model-secretly/) 3. [**Generative Reward Models arXiv:2410.12832**Dakota Mahan, Duy Van Phung, Rafael Rafailov, et al.*2024 · 58 citations*](https://md.research.elamur.ai/free/en/papers/mahan-2024-generative-reward-models/) 4. **[Knowledge Boundary of Large Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/li-2025-knowledge-boundary-large-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Moxin Li, Yong Zhao, Wenxuan Zhang, et al.*2025 · 30 citations* 5. **[Navigating Rifts in Human-LLM Grounding: Study and Benchmark](https://md.research.elamur.ai/free/en/papers/shaikh-2025-navigating-rifts-human-llm-grounding/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Omar Shaikh, Hussein Mozannar, Gagan Bansal, et al.*2025 · 19 citations* 6. **[Self-Supervised Alignment with Mutual Information: Learning to Follow Principles without Preference Labels](https://md.research.elamur.ai/free/en/papers/franken-2024-self-supervised-alignment-mutual-information/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Jan-Philipp Franken, Eric Zelikman, Rafael Rafailov, et al.*2024 · 16 citations* 7. [**Talk Less, Interact Better: Evaluating In-context Conversational Adaptation in Multimodal LLMs arXiv:2408.01417**Yilun Hua, Yoav Artzi*2024 · 5 citations*](https://md.research.elamur.ai/free/en/papers/hua-2024-talk-less-interact-better-evaluating/) 8. **[Referential ambiguity and clarification requests: comparing human and LLM behaviour](https://md.research.elamur.ai/free/en/papers/madge-2025-referential-ambiguity-clarification-requests-comparing/) [Workshop on Computational Models of Reference, Anaphora and Coreference (CRAC)](https://md.research.elamur.ai/free/en/venues/crac/)**Chris Madge, Matthew Purver, Massimo Poesio*2025 · 4 citations* 9. [**Integrating Neural and Symbolic Components in a Model of Pragmatic Question-Answering**Polina Tsvilodub, Robert D. Hawkins, Michael Franke*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/tsvilodub-2025-integrating-neural-symbolic-components-model/) 10. **[IceBreaker for Conversational Agents: Breaking the First-Message Barrier with Personalized Starters](https://md.research.elamur.ai/free/en/papers/zheng-2026-icebreaker-conversational-agents-breaking-first/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hongwei Zheng, Weiqi Wu, Zhengjia Wang, et al.*2026* 28 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/andukuri-2024-star-gate-teaching-language-models/) — STaR-GATE: Teaching Language Models to Ask Clarifying Questions