b'Yao Fu'

research

∙ 09/11/2023

MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning

We introduce MAmmoTH, a series of open-source large language models (LLM...

0 Xiang Yue, et al. ∙

research

∙ 08/25/2023

Go Beyond Imagination: Maximizing Episodic Reachability with World Models

Efficient exploration is a challenging topic in reinforcement learning, ...

0 Yao Fu, et al. ∙

research

∙ 08/17/2023

Experimental quantum e-commerce

E-commerce, a type of trading that occurs at a high frequency on the Int...

0 Xiao-Yu Cao, et al. ∙

research

∙ 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 ...

0 Yao Fu, et al. ∙

research

∙ 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 ...

0 Yao Fu, et al. ∙

research

∙ 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...

0 Yuzhen Huang, et al. ∙

research

∙ 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...

0 Jun-Lin Bai, et al. ∙

research

∙ 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...

0 Ao Shen, et al. ∙

research

∙ 03/21/2023

Experimental Phase-Matching Quantum Key Distribution without Intensity Modulation

Quantum key distribution provides a promising solution for sharing secur...

0 Shan-Feng Shao, et al. ∙

research

∙ 01/30/2023

Specializing Smaller Language Models towards Multi-Step Reasoning

The surprising ability of Large Language Models (LLMs) to perform well o...

0 Yao Fu, et al. ∙

research

∙ 01/03/2023

One-Time Universal Hashing Quantum Digital Signatures without Perfect Keys

Quantum digital signatures (QDS), generating correlated bit strings amon...

0 Bing-Hong Li, et al. ∙

research

∙ 12/10/2022

Breaking Rate-Distance Limitation of Measurement-Device-Independent Quantum Secret Sharing

Quantum secret sharing is an important cryptographic primitive for netwo...

0 Chen-Long Li, et al. ∙

research

∙ 12/10/2022

Breaking universal limitations on quantum conference key agreement without quantum memory

Quantum conference key agreement is an important cryptographic primitive...

0 Chen-Long Li, et al. ∙

research

∙ 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...

0 Yuling Gu, et al. ∙

research

∙ 10/05/2022

Decomposed Prompting: A Modular Approach for Solving Complex Tasks

Few-shot prompting is a surprisingly powerful way to use Large Language ...

2 Tushar Khot, et al. ∙

research

∙ 10/03/2022

Complexity-Based Prompting for Multi-Step Reasoning

We study the task of prompting large-scale language models to perform mu...

4 Yao Fu, et al. ∙

research

∙ 06/03/2022

Latent Topology Induction for Understanding Contextualized Representations

In this work, we study the representation space of contextualized embedd...

0 Yao Fu, et al. ∙

research

∙ 05/28/2022

Few-shot Subgoal Planning with Language Models

Pre-trained large language models have shown successful progress in many...

4 Lajanugen Logeswaran, et al. ∙

research

∙ 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...

0 Wen-Bo Liu, et al. ∙

research

∙ 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...

0 Jie Gu, et al. ∙

research

∙ 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...

0 Ratish Puduppully, et al. ∙

research

∙ 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 ...

0 Yuan-Mei Xie, et al. ∙

research

∙ 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...

0 Yuan-Mei Xie, et al. ∙

research

∙ 12/15/2021

Experimental quantum advantage with quantum coupon collector

An increasing number of communication and computational schemes with qua...

0 Min-Gang Zhou, et al. ∙

research

∙ 12/07/2021

Scaling Structured Inference with Randomization

Deep discrete structured models have seen considerable progress recently...

0 Yao Fu, et al. ∙

research

∙ 07/05/2021

Optimizing the Numbers of Queries and Replies in Federated Learning with Differential Privacy

Federated learning (FL) empowers distributed clients to collaboratively ...

0 Yipeng Zhou, et al. ∙

research

∙ 04/09/2021

Noisy-Labeled NER with Confidence Estimation

Recent studies in deep learning have shown significant progress in named...

0 Kun Liu, et al. ∙

research

∙ 04/08/2021

Probing BERT in Hyperbolic Spaces

Recently, a variety of probing tasks are proposed to discover linguistic...

0 Boli Chen, et al. ∙

research

∙ 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...

0 Yao Fu, et al. ∙

research

∙ 12/15/2020

Nested Named Entity Recognition with Partially-Observed TreeCRFs

Named entity recognition (NER) is a well-studied task in natural languag...

0 Yao Fu, et al. ∙

research

∙ 11/29/2020

Latent Template Induction with Gumbel-CRFs

Learning to control the structure of sentences is a challenging problem ...

0 Yao Fu, et al. ∙

research

∙ 01/07/2020

Paraphrase Generation with Latent Bag of Words

Paraphrase generation is a longstanding important problem in natural lan...

0 Yao Fu, et al. ∙

research

∙ 09/26/2019

Rethinking Text Attribute Transfer: A Lexical Analysis

Text attribute transfer is modifying certain linguistic attributes (e.g....

0 Yao Fu, et al. ∙

Yao Fu

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