Kevin Yang | DeepAI

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Featured Co-authors

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Arsha Nagrani
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∙ 07/24/2023

RLCD: Reinforcement Learning from Contrast Distillation for Language Model Alignment

We propose Reinforcement Learning from Contrast Distillation (RLCD), a m...

0 Kevin Yang, et al. ∙

∙ 07/06/2023

PREADD: Prefix-Adaptive Decoding for Controlled Text Generation

We propose Prefix-Adaptive Decoding (PREADD), a flexible method for cont...

0 Jonathan Pei, et al. ∙

∙ 06/08/2023

Modular Visual Question Answering via Code Generation

We present a framework that formulates visual question answering as modu...

6 Sanjay Subramanian, et al. ∙

∙ 12/20/2022

DOC: Improving Long Story Coherence With Detailed Outline Control

We propose the Detailed Outline Control (DOC) framework for improving lo...

5 Kevin Yang, et al. ∙

∙ 10/13/2022

Re3: Generating Longer Stories With Recursive Reprompting and Revision

We consider the problem of automatically generating longer stories of ov...

4 Kevin Yang, et al. ∙

∙ 05/19/2022

Automated Crossword Solving

We present the Berkeley Crossword Solver, a state-of-the-art approach fo...

17 Eric Wallace, et al. ∙

∙ 05/18/2022

Addressing Resource and Privacy Constraints in Semantic Parsing Through Data Augmentation

We introduce a novel setup for low-resource task-oriented semantic parsi...

0 Kevin Yang, et al. ∙

∙ 10/07/2021

Multi-objective Optimization by Learning Space Partitions

In contrast to single-objective optimization (SOO), multi-objective opti...

18 Yiyang Zhao, et al. ∙

∙ 06/19/2021

Learning Space Partitions for Path Planning

Path planning, the problem of efficiently discovering high-reward trajec...

5 Kevin Yang, et al. ∙

∙ 04/12/2021

FUDGE: Controlled Text Generation With Future Discriminators

We propose Future Discriminators for Generation (FUDGE), a flexible and ...

18 Kevin Yang, et al. ∙

∙ 10/05/2020

A Streaming Approach For Efficient Batched Beam Search

We propose an efficient batching strategy for variable-length decoding o...

0 Kevin Yang, et al. ∙

∙ 05/20/2020

Uncertainty Quantification Using Neural Networks for Molecular Property Prediction

Uncertainty quantification (UQ) is an important component of molecular p...

25 Lior Hirschfeld, et al. ∙

∙ 02/11/2020

Improving Molecular Design by Stochastic Iterative Target Augmentation

Generative models in molecular design tend to be richly parameterized, d...

13 Kevin Yang, et al. ∙

∙ 04/02/2019

Are Learned Molecular Representations Ready For Prime Time?

Advancements in neural machinery have led to a wide range of algorithmic...

0 Kevin Yang, et al. ∙

∙ 12/03/2018

Learning Multimodal Graph-to-Graph Translation for Molecular Optimization

We view molecular optimization as a graph-to-graph translation problem. ...

0 Wengong Jin, et al. ∙

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