6 papers
Vibe Calibration: Autonomous Bring-up of a 112-Qubit Superconducting Quantum Processor by a Skill-Orchestrating Language Agent
Huikai Xu, Jiaxiu Han, Shigang Ou +11
Superconducting quantum computing is one of the most mature solid-state platforms for quantum computation, with processors exceeding one hundred qubits. Yet further scaling toward…
LiteResearcher: A Scalable Agentic RL Training Framework for Deep Research Agent
Bince Qu, Wanli Li, Bo Pan +5
Reinforcement Learning (RL) has emerged as a powerful training paradigm for LLM-based agents. However, scaling agentic RL for deep research remains constrained by two coupled chall…
Inverse Knowledge Search over Verifiable Reasoning: Synthesizing a Scientific Encyclopedia from a Long Chains-of-Thought Knowledge Base
Yu Li, Yuan Huang, Tao Wang +19
Most scientific materials compress reasoning, presenting conclusions while omitting the derivational chains that justify them. This compression hinders verification by lacking expl…
Emergent Slow Thinking in LLMs as Inverse Tree Freezing
Sihan Hu, Xiansheng Cai, Yuan Huang +5
Reinforcement learning with verifiable rewards (RLVR) enables large language models to acquire slow, multi-step reasoning from sparse final-answer signals. We provide a statistical…
Learning-at-Criticality in Large Language Models for Quantum Field Theory and Beyond
Xiansheng Cai, Sihan Hu, Tao Wang +4
Fundamental physics often confronts complex symbolic problems with few guiding exemplars or established principles. While artificial intelligence (AI) offers promise, its typical n…
Rapid morphology characterization of two-dimensional TMDs and lateral heterostructures based on deep learning
Junqi He, Yujie Zhang, Jialu Wang +6
Two-dimensional (2D) materials and heterostructures exhibit unique physical properties, necessitating efficient and accurate characterization methods. Leveraging advancements in ar…