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method ID: montecarlotreesearch

Related Papers

Assessing Robustness of Text Classification through Maximal Safe Radius Computation

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractNeural network NLP models are vulnerable to small modifications of the input that maintain the original meaning but result in a different prediction. In this paper, we focus on robustness …...

32214

Task-Completion Dialogue Policy Learning via Monte Carlo Tree Search with Dueling Network

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractWe introduce a framework of Monte Carlo Tree Search with Double-q Dueling network (MCTS-DDU) for task-completion dialogue policy learning. Different from the previous deep model-based reinforcement learning methods, which uses …...

30504

Textual Data Augmentation for Efficient Active Learning on Tiny Datasets

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractIn this paper we propose a novel data augmentation approach where guided outputs of a language generation model, e.g. GPT-2, when labeled, can improve the performance of text classifiers through …...

29878

The DeepMind Chinese–English Document Translation System at WMT2020

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractThis paper describes the DeepMind submission to the Chinese→English constrained data track of the WMT2020 Shared Task on News Translation. The submission employs a noisy channel factorization as the backbone …...

27645

Machine Translation Decoding beyond Beam Search

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractBeam search is the go-to method for decoding auto-regressive machine translation models. While it yields consistent improvements in terms of BLEU, it is only concerned with finding outputs with high …...

31158

Designing an Automatic Agent for Repeated Language–based Persuasion Games

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractPersuasion games are fundamental in economics and AI research and serve as the basis for important applications. However, work on this setup assumes communication with stylized messages that do not …...

26766

Enhancing Task-Specific Distillation in Small Data Regimes through Language Generation

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractLarge-scale pretrained language models have led to significant improvements in Natural Language Processing. Unfortunately, they come at the cost of high computational and storage requirements that complicate their deployment on …...

4701

PPL-MCTS: Constrained Textual Generation Through Discriminator-Guided MCTS Decoding

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractLarge language models (LM) based on Transformers allow to generate plausible long texts. In this paper, we explore how this generation can be further controlled at decoding time to satisfy …...

21194