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Horae: A Domain-Agnostic Language for Automated Service Regulation
Artificial intelligence is rapidly encroaching on the field of service regulation. However, existing AI-based regulation techniques are …
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Horae: A Domain-Agnostic Language for Automated Service Regulation
Preguss: It Analyzes, It Specifies, It Verifies
Fully automated verification of large-scale software and hardware systems is arguably the holy grail of formal methods. Large language …
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Preguss: It Analyzes, It Specifies, It Verifies
The Self-Improvement Paradox: Can Language Models Bootstrap Reasoning Capabilities without External Scaffolding?
Self-improving large language models (LLMs) – i.e., to improve the performance of an LLM by fine-tuning it with synthetic data …
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The Self-Improvement Paradox: Can Language Models Bootstrap Reasoning Capabilities without External Scaffolding?
On the Almost-Sure Termination of Probabilistic Counter Programs
This paper introduces $k$-d PCPs – the class of probabilistic counter programs with $k \in \mathbb{N}$ counter variables inducing …
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On the Almost-Sure Termination of Probabilistic Counter Programs
Vegapunk: Accurate and Fast Decoding for Quantum LDPC Codes with Online Hierarchical Algorithm and Sparse Accelerator
Quantum Low-Density Parity-Check (qLDPC) codes are a promising class of quantum error-correcting codes that exhibit constant-rate …
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Vegapunk: Accurate and Fast Decoding for Quantum LDPC Codes with Online Hierarchical Algorithm and Sparse Accelerator
YOUTIAO: Hybrid Multiplexing with Dynamic Qubit Grouping for Low-cost and Scalable Quantum Wiring
With continuous advances in physical technology, the number of qubits has increased from just a few to several thousand. To further …
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YOUTIAO: Hybrid Multiplexing with Dynamic Qubit Grouping for Low-cost and Scalable Quantum Wiring
UniGM: Unifying Multiple Pre-trained Graph Models via Adaptive Knowledge Aggregation
Recent years have witnessed remarkable advances in graph representation learning using Graph Neural Networks (GNNs). To fully exploit …
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UniGM: Unifying Multiple Pre-trained Graph Models via Adaptive Knowledge Aggregation
Parf: Adaptive Parameter Refining for Abstract Interpretation
Abstract interpretation is a key formal method for the static analysis of programs. The core challenge in applying abstract …
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Parf: Adaptive Parameter Refining for Abstract Interpretation
Proving Functional Program Equivalence via Directed Lemma Synthesis
Proving equivalence between functional programs is a fundamental problem in program verification, which often amounts to reasoning …
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Proving Functional Program Equivalence via Directed Lemma Synthesis
Horae: A Domain-Agnostic Modeling Language for Automating Multimodal Service Regulation
Artificial intelligence is rapidly encroaching on the field of service regulation. This work-in-progress article presents the design …
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Horae: A Domain-Agnostic Modeling Language for Automating Multimodal Service Regulation