Search Results for author: Kevin Yang

Found 21 papers, 15 papers with code

Analyzing Learned Molecular Representations for Property Prediction

4 code implementations2 Apr 2019 Kevin Yang, Kyle Swanson, Wengong Jin, Connor Coley, Philipp Eiden, Hua Gao, Angel Guzman-Perez, Timothy Hopper, Brian Kelley, Miriam Mathea, Andrew Palmer, Volker Settels, Tommi Jaakkola, Klavs Jensen, Regina Barzilay

In addition, we introduce a graph convolutional model that consistently matches or outperforms models using fixed molecular descriptors as well as previous graph neural architectures on both public and proprietary datasets.

Molecular Property Prediction molecular representation +1

Re3: Generating Longer Stories With Recursive Reprompting and Revision

1 code implementation13 Oct 2022 Kevin Yang, Yuandong Tian, Nanyun Peng, Dan Klein

We consider the problem of automatically generating longer stories of over two thousand words.

Language Modelling

Learning Multimodal Graph-to-Graph Translation for Molecular Optimization

5 code implementations3 Dec 2018 Wengong Jin, Kevin Yang, Regina Barzilay, Tommi Jaakkola

We evaluate our model on multiple molecular optimization tasks and show that our model outperforms previous state-of-the-art baselines.

Graph-To-Graph Translation Translation

DOC: Improving Long Story Coherence With Detailed Outline Control

1 code implementation20 Dec 2022 Kevin Yang, Dan Klein, Nanyun Peng, Yuandong Tian

In human evaluations of automatically generated stories, DOC substantially outperforms a strong Re3 baseline (Yang et al., 2022) on plot coherence (22. 5% absolute gain), outline relevance (28. 2%), and interestingness (20. 7%).

Automated Crossword Solving

1 code implementation ACL 2022 Eric Wallace, Nicholas Tomlin, Albert Xu, Kevin Yang, Eshaan Pathak, Matthew Ginsberg, Dan Klein

We present the Berkeley Crossword Solver, a state-of-the-art approach for automatically solving crossword puzzles.

Question Answering

FUDGE: Controlled Text Generation With Future Discriminators

3 code implementations NAACL 2021 Kevin Yang, Dan Klein

We propose Future Discriminators for Generation (FUDGE), a flexible and modular method for controlled text generation.

Attribute Machine Translation +2

RLCD: Reinforcement Learning from Contrastive Distillation for Language Model Alignment

2 code implementations24 Jul 2023 Kevin Yang, Dan Klein, Asli Celikyilmaz, Nanyun Peng, Yuandong Tian

We propose Reinforcement Learning from Contrastive Distillation (RLCD), a method for aligning language models to follow principles expressed in natural language (e. g., to be more harmless) without using human feedback.

Language Modelling reinforcement-learning

Uncertainty Quantification Using Neural Networks for Molecular Property Prediction

1 code implementation20 May 2020 Lior Hirschfeld, Kyle Swanson, Kevin Yang, Regina Barzilay, Connor W. Coley

While we believe these results show that existing UQ methods are not sufficient for all common use-cases and demonstrate the benefits of further research, we conclude with a practical recommendation as to which existing techniques seem to perform well relative to others.

Drug Discovery Experimental Design +3

Multi-objective Optimization by Learning Space Partitions

1 code implementation7 Oct 2021 Yiyang Zhao, Linnan Wang, Kevin Yang, Tianjun Zhang, Tian Guo, Yuandong Tian

In this paper, we propose LaMOO, a novel multi-objective optimizer that learns a model from observed samples to partition the search space and then focus on promising regions that are likely to contain a subset of the Pareto frontier.

Neural Architecture Search

Learning Space Partitions for Path Planning

2 code implementations NeurIPS 2021 Kevin Yang, Tianjun Zhang, Chris Cummins, Brandon Cui, Benoit Steiner, Linnan Wang, Joseph E. Gonzalez, Dan Klein, Yuandong Tian

Path planning, the problem of efficiently discovering high-reward trajectories, often requires optimizing a high-dimensional and multimodal reward function.

Improving Molecular Design by Stochastic Iterative Target Augmentation

2 code implementations ICML 2020 Kevin Yang, Wengong Jin, Kyle Swanson, Regina Barzilay, Tommi Jaakkola

The property predictor is then used as a likelihood model for filtering candidate structures from the generative model.

Program Synthesis

Improving Pacing in Long-Form Story Planning

1 code implementation8 Nov 2023 Yichen Wang, Kevin Yang, Xiaoming Liu, Dan Klein

Existing LLM-based systems for writing long-form stories or story outlines frequently suffer from unnatural pacing, whether glossing over important events or over-elaborating on insignificant details, resulting in a jarring experience for the reader.

PREADD: Prefix-Adaptive Decoding for Controlled Text Generation

1 code implementation6 Jul 2023 Jonathan Pei, Kevin Yang, Dan Klein

We propose Prefix-Adaptive Decoding (PREADD), a flexible method for controlled text generation.

Attribute Text Generation

Learning Multimodal Graph-to-Graph Translation for Molecule Optimization

no code implementations ICLR 2019 Wengong Jin, Kevin Yang, Regina Barzilay, Tommi Jaakkola

We evaluate our model on multiple molecule optimization tasks and show that our model outperforms previous state-of-the-art baselines by a significant margin.

Graph-To-Graph Translation Translation

Multi-objective Optimization by Learning Space Partition

no code implementations ICLR 2022 Yiyang Zhao, Linnan Wang, Kevin Yang, Tianjun Zhang, Tian Guo, Yuandong Tian

In this paper, we propose LaMOO, a novel multi-objective optimizer that learns a model from observed samples to partition the search space and then focus on promising regions that are likely to contain a subset of the Pareto frontier.

Neural Architecture Search

Iterative Target Augmentation for Effective Conditional Generation

no code implementations25 Sep 2019 Kevin Yang, Wengong Jin, Kyle Swanson, Regina Barzilay, Tommi Jaakkola

Many challenging prediction problems, from molecular optimization to program synthesis, involve creating complex structured objects as outputs.

Program Synthesis

Addressing Resource and Privacy Constraints in Semantic Parsing Through Data Augmentation

no code implementations Findings (ACL) 2022 Kevin Yang, Olivia Deng, Charles Chen, Richard Shin, Subhro Roy, Benjamin Van Durme

We introduce a novel setup for low-resource task-oriented semantic parsing which incorporates several constraints that may arise in real-world scenarios: (1) lack of similar datasets/models from a related domain, (2) inability to sample useful logical forms directly from a grammar, and (3) privacy requirements for unlabeled natural utterances.

Data Augmentation Semantic Parsing

Learning Personalized Story Evaluation

no code implementations5 Oct 2023 Danqing Wang, Kevin Yang, Hanlin Zhu, Xiaomeng Yang, Andrew Cohen, Lei LI, Yuandong Tian

We further develop a personalized story evaluation model PERSE to infer reviewer preferences and provide a personalized evaluation.

Retrieval Text Generation

End-to-end Story Plot Generator

no code implementations13 Oct 2023 Hanlin Zhu, Andrew Cohen, Danqing Wang, Kevin Yang, Xiaomeng Yang, Jiantao Jiao, Yuandong Tian

Story plots, while short, carry most of the essential information of a full story that may contain tens of thousands of words.

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