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09/11/2023
MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning
We introduce MAmmoTH, a series of open-source large language models (LLM...
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08/25/2023
Go Beyond Imagination: Maximizing Episodic Reachability with World Models
Efficient exploration is a challenging topic in reinforcement learning, ...
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08/17/2023
Experimental quantum e-commerce
E-commerce, a type of trading that occurs at a high frequency on the Int...
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05/26/2023
Chain-of-Thought Hub: A Continuous Effort to Measure Large Language Models' Reasoning Performance
As large language models (LLMs) are continuously being developed, their ...
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05/17/2023
Improving Language Model Negotiation with Self-Play and In-Context Learning from AI Feedback
We study whether multiple large language models (LLMs) can autonomously ...
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05/15/2023
C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models
New NLP benchmarks are urgently needed to align with the rapid developme...
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04/10/2023
Asynchronous measurement-device-independent quantum key distribution with hybrid source
The linear constraint of secret key rate capacity is overcome by the tiw...
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03/26/2023
Experimental quantum secret sharing based on phase encoding of coherent states
Quantum secret sharing (QSS) is one of the basic communication primitive...
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03/21/2023
Experimental Phase-Matching Quantum Key Distribution without Intensity Modulation
Quantum key distribution provides a promising solution for sharing secur...
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01/30/2023
Specializing Smaller Language Models towards Multi-Step Reasoning
The surprising ability of Large Language Models (LLMs) to perform well o...
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01/03/2023
One-Time Universal Hashing Quantum Digital Signatures without Perfect Keys
Quantum digital signatures (QDS), generating correlated bit strings amon...
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12/10/2022
Breaking Rate-Distance Limitation of Measurement-Device-Independent Quantum Secret Sharing
Quantum secret sharing is an important cryptographic primitive for netwo...
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12/10/2022
Breaking universal limitations on quantum conference key agreement without quantum memory
Quantum conference key agreement is an important cryptographic primitive...
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10/28/2022
Just-DREAM-about-it: Figurative Language Understanding with DREAM-FLUTE
Figurative language (e.g., "he flew like the wind") is challenging to un...
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10/05/2022
Decomposed Prompting: A Modular Approach for Solving Complex Tasks
Few-shot prompting is a surprisingly powerful way to use Large Language ...
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10/03/2022
Complexity-Based Prompting for Multi-Step Reasoning
We study the task of prompting large-scale language models to perform mu...
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06/03/2022
Latent Topology Induction for Understanding Contextualized Representations
In this work, we study the representation space of contextualized embedd...
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05/28/2022
Few-shot Subgoal Planning with Language Models
Pre-trained large language models have shown successful progress in many...
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04/26/2022
Source-independent quantum random number generator against detector blinding attacks
Randomness, mainly in the form of random numbers, is the fundamental pre...
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04/18/2022
Experimental twin-field quantum key distribution with flawed and correlated sources
The security of quantum key distribution (QKD) is severely threatened by...
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02/28/2022
Data-to-text Generation with Variational Sequential Planning
We consider the task of data-to-text generation, which aims to create te...
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12/22/2021
Breaking the Rate-Loss Relationship of Quantum Key Distribution with Asynchronous Two-Photon Interference
Twin-field quantum key distribution can overcome the repeaterless bound ...
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12/21/2021
Scalable High-Rate Twin-Field Quantum Key Distribution Networks without Constraint of Probability and Intensity
There have been several recent advancements in the field of long-distanc...
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12/15/2021
Experimental quantum advantage with quantum coupon collector
An increasing number of communication and computational schemes with qua...
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12/07/2021
Scaling Structured Inference with Randomization
Deep discrete structured models have seen considerable progress recently...
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07/05/2021
Optimizing the Numbers of Queries and Replies in Federated Learning with Differential Privacy
Federated learning (FL) empowers distributed clients to collaboratively ...
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04/09/2021
Noisy-Labeled NER with Confidence Estimation
Recent studies in deep learning have shown significant progress in named...
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04/08/2021
Probing BERT in Hyperbolic Spaces
Recently, a variety of probing tasks are proposed to discover linguistic...
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01/11/2021
On the Practicality of Differential Privacy in Federated Learning by Tuning Iteration Times
In spite that Federated Learning (FL) is well known for its privacy prot...
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12/15/2020
Nested Named Entity Recognition with Partially-Observed TreeCRFs
Named entity recognition (NER) is a well-studied task in natural languag...
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11/29/2020
Latent Template Induction with Gumbel-CRFs
Learning to control the structure of sentences is a challenging problem ...
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01/07/2020
Paraphrase Generation with Latent Bag of Words
Paraphrase generation is a longstanding important problem in natural lan...
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09/26/2019
