b'Wenhao Yu'

research

∙ 09/14/2023

A Unified Perspective on Multiple Shooting In Differential Dynamic Programming

Differential Dynamic Programming (DDP) is an efficient computational too...

0 He Li, et al. ∙

research

∙ 07/16/2023

GeoGPT: Understanding and Processing Geospatial Tasks through An Autonomous GPT

Decision-makers in GIS need to combine a series of spatial algorithms an...

0 Yifan Zhang, et al. ∙

research

∙ 07/10/2023

Legal Decision-making for Highway Automated Driving

Compliance with traffic laws is a fundamental requirement for human driv...

0 Xiaohan Ma, et al. ∙

research

∙ 06/24/2023

Transforming a Quadruped into a Guide Robot for the Visually Impaired: Formalizing Wayfinding, Interaction Modeling, and Safety Mechanism

This paper explores the principles for transforming a quadrupedal robot ...

0 J. Taery Kim, et al. ∙

research

∙ 06/16/2023

CAJun: Continuous Adaptive Jumping using a Learned Centroidal Controller

We present CAJun, a novel hierarchical learning and control framework th...

0 Yuxiang Yang, et al. ∙

research

∙ 06/15/2023

Datasets and Benchmarks for Offline Safe Reinforcement Learning

This paper presents a comprehensive benchmarking suite tailored to offli...

0 Zuxin Liu, et al. ∙

research

∙ 06/14/2023

Language to Rewards for Robotic Skill Synthesis

Large language models (LLMs) have demonstrated exciting progress in acqu...

0 Wenhao Yu, et al. ∙

research

∙ 06/13/2023

SayTap: Language to Quadrupedal Locomotion

Large language models (LLMs) have demonstrated the potential to perform ...

0 Yujin Tang, et al. ∙

research

∙ 05/24/2023

Barkour: Benchmarking Animal-level Agility with Quadruped Robots

Animals have evolved various agile locomotion strategies, such as sprint...

2 Ken Caluwaerts, et al. ∙

research

∙ 05/23/2023

Pre-training Language Models for Comparative Reasoning

In this paper, we propose a novel framework to pre-train language models...

0 Mengxia Yu, et al. ∙

research

∙ 05/23/2023

Exploring Contrast Consistency of Open-Domain Question Answering Systems on Minimally Edited Questions

Contrast consistency, the ability of a model to make consistently correc...

0 Zhihan Zhang, et al. ∙

research

∙ 05/23/2023

IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions

Although counterfactual reasoning is a fundamental aspect of intelligenc...

0 Wenhao Yu, et al. ∙

research

∙ 05/23/2023

Improving Language Models via Plug-and-Play Retrieval Feedback

Large language models (LLMs) exhibit remarkable performance across vario...

0 Wenhao Yu, et al. ∙

research

∙ 05/22/2023

Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation

In this paper, we present a novel approach for distilling math word prob...

0 Zhenwen Liang, et al. ∙

research

∙ 05/16/2023

Large Language Models are Built-in Autoregressive Search Engines

Document retrieval is a key stage of standard Web search engines. Existi...

0 Noah Ziems, et al. ∙

research

∙ 05/09/2023

StarCoder: may the source be with you!

The BigCode community, an open-scientific collaboration working on the r...

12 Raymond Li, et al. ∙

research

∙ 05/01/2023

IndoorSim-to-OutdoorReal: Learning to Navigate Outdoors without any Outdoor Experience

We present IndoorSim-to-OutdoorReal (I2O), an end-to-end learned visual ...

0 Joanne Truong, et al. ∙

research

∙ 04/17/2023

Continuous Versatile Jumping Using Learned Action Residuals

Jumping is essential for legged robots to traverse through difficult ter...

5 Yuxiang Yang, et al. ∙

research

∙ 02/14/2023

Constrained Decision Transformer for Offline Safe Reinforcement Learning

Safe reinforcement learning (RL) trains a constraint satisfaction policy...

0 Zuxin Liu, et al. ∙

research

∙ 12/20/2022

A Survey of Deep Learning for Mathematical Reasoning

Mathematical reasoning is a fundamental aspect of human intelligence and...

12 Pan Lu @ UCLA, et al. ∙

research

∙ 12/19/2022

APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning

Logical reasoning of text is an important ability that requires understa...

0 Soumya Sanyal, et al. ∙

research

∙ 12/06/2022

Efficient Learning of Voltage Control Strategies via Model-based Deep Reinforcement Learning

This article proposes a model-based deep reinforcement learning (DRL) me...

0 Ramij R. Hossain, et al. ∙

research

∙ 11/15/2022

Empowering Language Models with Knowledge Graph Reasoning for Question Answering

Answering open-domain questions requires world knowledge about in-contex...

0 Ziniu Hu, et al. ∙

research

∙ 11/08/2022

SOTIF Entropy: Online SOTIF Risk Quantification and Mitigation for Autonomous Driving

Autonomous driving confronts great challenges in complex traffic scenari...

0 Liang Peng, et al. ∙

research

∙ 10/23/2022

Retrieval Augmentation for Commonsense Reasoning: A Unified Approach

A common thread of retrieval-augmented methods in the existing literatur...

0 Wenhao Yu, et al. ∙

research

∙ 10/07/2022

A Unified Encoder-Decoder Framework with Entity Memory

Entities, as important carriers of real-world knowledge, play a key role...

0 Zhihan Zhang, et al. ∙

research

∙ 10/06/2022

Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering

A common thread of open-domain question answering (QA) models employs a ...

0 Mingxuan Ju, et al. ∙

research

∙ 10/05/2022

Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization

Self-supervised learning (SSL) for graph neural networks (GNNs) has attr...

0 Mingxuan Ju, et al. ∙

research

∙ 09/28/2022

Versatile Real-Time Motion Synthesis via Kino-Dynamic MPC with Hybrid-Systems DDP

Specialized motions such as jumping are often achieved on quadruped robo...

0 He Li, et al. ∙

research

∙ 09/28/2022

Zero-Shot Retargeting of Learned Quadruped Locomotion Policies Using Hybrid Kinodynamic Model Predictive Control

Reinforcement Learning (RL) has witnessed great strides for quadruped lo...

0 He Li, et al. ∙

research

∙ 09/21/2022

Generate rather than Retrieve: Large Language Models are Strong Context Generators

Knowledge-intensive tasks, such as open-domain question answering (QA), ...

0 Wenhao Yu, et al. ∙

research

∙ 07/27/2022

PI-ARS: Accelerating Evolution-Learned Visual-Locomotion with Predictive Information Representations

Evolution Strategy (ES) algorithms have shown promising results in train...

0 Kuang-Huei Lee, et al. ∙

research

∙ 07/03/2022

Enhancing Automated Software Traceability by Transfer Learning from Open-World Data

Software requirements traceability is a critical component of the softwa...

0 Jinfeng Lin, et al. ∙

research

∙ 06/27/2022

Learning Semantics-Aware Locomotion Skills from Human Demonstration

The semantics of the environment, such as the terrain type and property,...

10 Yuxiang Yang, et al. ∙

research

∙ 04/25/2022

Road Traffic Law Adaptive Decision-making for Self-Driving Vehicles

Self-driving vehicles have their own intelligence to drive on open roads...

0 Jiaxin Liu, et al. ∙

research

∙ 04/07/2022

A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods

Multi-task learning (MTL) has become increasingly popular in natural lan...

0 Zhihan Zhang, et al. ∙

research

∙ 03/28/2022

Adversarial Motion Priors Make Good Substitutes for Complex Reward Functions

Training a high-dimensional simulated agent with an under-specified rewa...

9 Alejandro Escontrela, et al. ∙

research

∙ 03/14/2022

Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts

Generative commonsense reasoning (GCR) in natural language is to reason ...

0 Wenhao Yu, et al. ∙

research

∙ 03/05/2022

Safe Reinforcement Learning for Legged Locomotion

Designing control policies for legged locomotion is complex due to the u...

0 Tsung-Yen Yang, et al. ∙

research

∙ 11/29/2021

Physics-informed Evolutionary Strategy based Control for Mitigating Delayed Voltage Recovery

In this work we propose a novel data-driven, real-time power system volt...

0 Yan Du, et al. ∙

research

∙ 11/01/2021

Robot Learning from Randomized Simulations: A Review

The rise of deep learning has caused a paradigm shift in robotics resear...

0 Fabio Muratore, et al. ∙

research

∙ 10/13/2021

Dict-BERT: Enhancing Language Model Pre-training with Dictionary

Pre-trained language models (PLMs) aim to learn universal language repre...

0 Wenhao Yu, et al. ∙

research

∙ 10/08/2021

KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering

Current Open-Domain Question Answering (ODQA) model paradigm often conta...

0 Donghan Yu, et al. ∙

research

∙ 06/05/2021

Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations

Automatic construction of a taxonomy supports many applications in e-com...

0 Qingkai Zeng, et al. ∙

research

∙ 06/03/2021

Counterfactual Graph Learning for Link Prediction

Learning to predict missing links is important for many graph-based appl...

0 Tong Zhao, et al. ∙

research

∙ 04/15/2021

Sentence-Permuted Paragraph Generation

Generating paragraphs of diverse contents is important in many applicati...

0 Wenhao Yu, et al. ∙

research

∙ 03/03/2021

Learning to Manipulate Amorphous Materials

We present a method of training character manipulation of amorphous mate...

11 Yunbo Zhang, et al. ∙

research

∙ 02/16/2021

Few-Shot Graph Learning for Molecular Property Prediction

The recent success of graph neural networks has significantly boosted mo...

0 Zhichun Guo, et al. ∙

research

∙ 01/21/2021

Validating Label Consistency in NER Data Annotation

Data annotation plays a crucial role in ensuring your named entity recog...

0 Qingkai Zeng, et al. ∙

research

∙ 01/13/2021

Learning and Fast Adaptation for Grid Emergency Control via Deep Meta Reinforcement Learning

As power systems are undergoing a significant transformation with more u...

0 Renke Huang, et al. ∙

Wenhao Yu

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