Search Results for author: Weijia Xu

Found 20 papers, 8 papers with code

Player-Driven Emergence in LLM-Driven Game Narrative

no code implementations25 Apr 2024 Xiangyu Peng, Jessica Quaye, Sudha Rao, Weijia Xu, Portia Botchway, Chris Brockett, Nebojsa Jojic, Gabriel DesGarennes, Ken Lobb, Michael Xu, Jorge Leandro, Claire Jin, Bill Dolan

We explore how interaction with large language models (LLMs) can give rise to emergent behaviors, empowering players to participate in the evolution of game narratives.

Language Modelling Large Language Model

Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling

no code implementations17 May 2023 Weijia Xu, Andrzej Banburski-Fahey, Nebojsa Jojic

We introduce Reprompting, an iterative sampling algorithm that automatically learns the Chain-of-Thought (CoT) recipes for a given task without human intervention.

Recognition and Co-Analysis of Pedestrian Activities in Different Parts of Road using Traffic Camera Video

no code implementations27 Nov 2021 Weijia Xu, Heidi Ross, Joel Meyer, Kelly Pierce, Natalia Ruiz Juri, Jennifer Duthie

The goal for this research is to understand the correlation between bus stop locations and mid-block crossings, so as to assist traffic engineers in implementing Vision Zero strategies to improve pedestrian safety.

Rule-based Morphological Inflection Improves Neural Terminology Translation

1 code implementation EMNLP 2021 Weijia Xu, Marine Carpuat

Current approaches to incorporating terminology constraints in machine translation (MT) typically assume that the constraint terms are provided in their correct morphological forms.

Domain Adaptation LEMMA +4

Soft Layer Selection with Meta-Learning for Zero-Shot Cross-Lingual Transfer

no code implementations ACL (MetaNLP) 2021 Weijia Xu, Batool Haider, Jason Krone, Saab Mansour

Multilingual pre-trained contextual embedding models (Devlin et al., 2019) have achieved impressive performance on zero-shot cross-lingual transfer tasks.

Cross-Lingual Natural Language Inference Meta-Learning +1

How Does Distilled Data Complexity Impact the Quality and Confidence of Non-Autoregressive Machine Translation?

no code implementations Findings (ACL) 2021 Weijia Xu, Shuming Ma, Dongdong Zhang, Marine Carpuat

While non-autoregressive (NAR) models are showing great promise for machine translation, their use is limited by their dependence on knowledge distillation from autoregressive models.

Knowledge Distillation Machine Translation +1

EDITOR: an Edit-Based Transformer with Repositioning for Neural Machine Translation with Soft Lexical Constraints

1 code implementation13 Nov 2020 Weijia Xu, Marine Carpuat

We introduce an Edit-Based Transformer with Repositioning (EDITOR), which makes sequence generation flexible by seamlessly allowing users to specify preferences in output lexical choice.

Imitation Learning Machine Translation +1

Dual Reconstruction: a Unifying Objective for Semi-Supervised Neural Machine Translation

no code implementations Findings of the Association for Computational Linguistics 2020 Weijia Xu, Xing Niu, Marine Carpuat

While Iterative Back-Translation and Dual Learning effectively incorporate monolingual training data in neural machine translation, they use different objectives and heuristic gradient approximation strategies, and have not been extensively compared.

Machine Translation Translation

Flexible Non-Autoregressive Neural Machine Translation via Repositioning Edit Operations

no code implementations WS 2020 Weijia Xu, Marine Carpuat

We introduce an iterative text refinement model to reduce the decoding space of non-autoregressive models by disentangling the token prediction and relative position prediction.

Machine Translation Position +1

Convolutional Neural Network Training with Distributed K-FAC

3 code implementations1 Jul 2020 J. Gregory Pauloski, Zhao Zhang, Lei Huang, Weijia Xu, Ian T. Foster

Training neural networks with many processors can reduce time-to-solution; however, it is challenging to maintain convergence and efficiency at large scales.

End-to-End Slot Alignment and Recognition for Cross-Lingual NLU

3 code implementations EMNLP 2020 Weijia Xu, Batool Haider, Saab Mansour

We introduce MultiATIS++, a new multilingual NLU corpus that extends the Multilingual ATIS corpus to nine languages across four language families, and evaluate our method using the corpus.

Cross-Lingual Transfer Goal-Oriented Dialog +6

HPC AI500: A Benchmark Suite for HPC AI Systems

no code implementations27 Jul 2019 Zihan Jiang, Wanling Gao, Lei Wang, Xingwang Xiong, Yuchen Zhang, Xu Wen, Chunjie Luo, Hainan Ye, Yunquan Zhang, Shengzhong Feng, Kenli Li, Weijia Xu, Jianfeng Zhan

In this paper, we propose HPC AI500 --- a benchmark suite for evaluating HPC systems that running scientific DL workloads.

Differentiable Sampling with Flexible Reference Word Order for Neural Machine Translation

1 code implementation NAACL 2019 Weijia Xu, Xing Niu, Marine Carpuat

Despite some empirical success at correcting exposure bias in machine translation, scheduled sampling algorithms suffer from a major drawback: they incorrectly assume that words in the reference translations and in sampled sequences are aligned at each time step.

Machine Translation Translation

Bi-Directional Differentiable Input Reconstruction for Low-Resource Neural Machine Translation

1 code implementation NAACL 2019 Xing Niu, Weijia Xu, Marine Carpuat

We aim to better exploit the limited amounts of parallel text available in low-resource settings by introducing a differentiable reconstruction loss for neural machine translation (NMT).

Low Resource Neural Machine Translation Low-Resource Neural Machine Translation +2

The University of Maryland's Chinese-English Neural Machine Translation Systems at WMT18

no code implementations WS 2018 Weijia Xu, Marine Carpuat

This paper describes the University of Maryland{'}s submission to the WMT 2018 Chinese↔English news translation tasks.

Machine Translation Translation

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