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MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues
By conducting a detailed analysis of real multi-turn dialogue data, we construct a three-tier hierarchical ability taxonomy comprising 4208 turns across 1388 multi-turn dialogues in 13 distinct tasks.
Quantum Similarity Testing with Convolutional Neural Networks
The task of testing whether two uncharacterized quantum devices behave in the same way is crucial for benchmarking near-term quantum computers and quantum simulators, but has so far remained open for continuous-variable quantum systems.
Flexible learning of quantum states with generative query neural networks
Existing networks are typically trained with experimental data gathered from the specific quantum state that needs to be characterized.
Efficient verification of continuous-variable quantum states and devices without assuming identical and independent operations
To successfully demonstrate these protocols, an essential step is the certification of multimode continuous-variable quantum states and quantum devices.
Quantum Physics
Quantum Compression of Tensor Network States
We design quantum compression algorithms for parametric families of tensor network states.
Quantum Physics
