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Jonathan Clark

7 accepted papers

2023

Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval

ACL 2023long

Contrastive learning has been successfully used for retrieval of semantically aligned sentences, but it often requires large batch sizes or careful engineering to work well. In this paper, we instead propose a generative model for learning multilingual text embeddings which can be used to retrieve o…

2021

Learning to Recognize Dialect Features

NAACL 2021long

Building NLP systems that serve everyone requires accounting for dialect differences. But dialects are not monolithic entities: rather, distinctions between and within dialects are captured by the presence, absence, and frequency of dozens of dialect features in speech and text, such as the deletion…

Cited by 50SourcePDFScholar
2021

XOR QA: Cross-lingual Open-Retrieval Question Answering

NAACL 2021long

Multilingual question answering tasks typically assume that answers exist in the same language as the question. Yet in practice, many languages face both information scarcity—where languages have few reference articles—and information asymmetry—where questions reference concepts from other cultures.…

2020

Fast, Versatile, and Open-loop Stable Running Behaviors with Proprioceptive-only Sensing using Model-based Optimization

ICRA 2020poster

As we build our legged robots smaller and cheaper, stable and agile control without expensive inertial sensors becomes increasingly important. We seek to enable versatile dynamic behaviors on robots with limited modes of state feedback, specifically proprioceptive-only sensing. This work uses model-…

Cited by 10SourceScholar
2020

LLAMA: Design and Control of an Omnidirectional Human Mission Scale Quadrupedal Robot

IROS 2020poster

This paper describes the design, control and initial experimental results of the quadruped robot LLAMA. Designed to operate in a human-scale world, this 67kg-class, all-electric robot is capable of rapid motion over a variety of terrains. Thanks to a unique leg configuration and custom high-torque,…

Cited by 14SourceScholar
2020

Risk-constrained Motion Planning for Robot Locomotion: Formulation and Running Robot Demonstration

IROS 2020poster

Robots encounter many risks that threaten the success of practical locomotion tasks. Legs break, electrical components overheat, and feet can unexpectedly slip. When all risks cannot be completely avoided, how does a robot decide its best action? We present a method for planning robot motions by rea…

Cited by 10SourceScholar