Name: Large Reasoning Models (LRM) | Connect Session
Start: 2025-11-12T17:00:00-08:00
End: 2025-11-12T18:00:00-08:00

[ResearchTrend.AI](https://www.linkedin.com/company/researchtrend-ai/) is excited to invite you to our upcoming biweekly Large Reasoning Model (LRM ReLM) Connect Session!

This virtual session 💻 features two presentations from leading researchers 🧑‍🔬, diving deep into the technical challenges and novel solutions in AI reasoning.

Agenda (UTC)
🧠 16:00 - 16:30: Phuc Nguyen
📄 Paper: The Reasoning Boundary Paradox: How Reinforcement Learning Constrains Language Models
💡 Abstract: Does Reinforcement Learning (RLVR) actually shrink an LLM's reasoning ability? Phuc will discuss this paradox, exploring "negative interference" and the "winner-take-all" phenomenon, where RL over-optimizes for easy problems. He will also present a new data curation algorithm to counteract this and improve reasoning performance.

🔬 16:30 - 17:00: [Markus J. Buehler](https://www.linkedin.com/in/markus-j-buehler-2245682/) (MIT)
📄 Paper: Autonomous Inorganic Materials Discovery via Multi-Agent Physics-Aware Scientific Reasoning
💡 Abstract: How can AI autonomously discover new materials? Markus will present SparksMatter, a multi-agent AI system that manages the entire discovery cycle—from ideation and planning to experimentation and refinement. This physics-aware model generates novel, stable inorganic materials hypotheses beyond existing human knowledge.

🌟 This is a fantastic opportunity to engage directly with new, high-impact research.

🗓️ Time: 16:00 - 17:00 UTC 📍 Location: Virtual

👉 Register for this event here: [https://lnkd.in/eFprzj2E](https://lnkd.in/eFprzj2E)

Don't miss our future sessions! 📆 Find out more about upcoming events: [https://lnkd.in/g7-iczUp](https://lnkd.in/g7-iczUp)

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