Yining She

@YiningShe

PhD student at CMU @S3DatCMU | Responsible AI, Software Engineering for AI

Joined October 2022

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Yining She
@YiningShe
Feb 7
If you’re working on making trustworthiness engineerable for LLM-based systems, this workshop may be a good opportunity!
Sumon Biswas
@sumonbis
Feb 6
📣 Call for Papers: #LLMTrust2026 @FSEconf Engineering trustworthy LLM systems + responsible LLM use in SE (evidence, tests, metrics, audits, artifacts). 🗓️ Deadline (AoE): Feb 12, 2026 llmtrust2026.github.io
Yining She
@YiningShe
Oct 6, 2025
🚀 Super cool research by Parv on applying constrained decoding to RFM!
Parv Kapoor
@Parvkpr
Oct 6, 2025
Last year, I came across the idea of constrained decoding (I know, late to the party) and was fascinated. The ability to enforce constraints for LLMs at inference time without fine tuning is a powerful idea. It got me thinking, can we do this for robot foundation models? 1/n🧵
Yining She
@YiningShe
Apr 27, 2025
🚀 Excited to present our work at #ICSE2025 next week in Ottawa! FairSense: Long-term Fairness Analysis of ML-enabled Systems 🗓️Wed, April 30th, 17:00-17:15 📍SE for AI with Security Session @ Room 210 📄Preprint: arxiv.org/abs/2501.01665 Let’s connect and chat!
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Yining She
@YiningShe
Jul 22, 2024
Thrilled to see the amazing work my lab mate @Parvkpr has done at @ScaFoAI !
General Robotics
@genrobotics_ai
Jul 22, 2024
We've opened the waitlist for General Robot Intelligence Development (GRID) Beta! Accelerate robotics dev with our open, free & cloud-based IDE. Zero setup needed. Develop & deploy advanced skills with foundation models and rapid prototyping 🔗: grid.scaledfoundations.ai 🧵(1/6)
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