Search Results for author: Andrew Wang

Found 17 papers, 7 papers with code

Representation Learning for Frequent Subgraph Mining

no code implementations22 Feb 2024 Rex Ying, Tianyu Fu, Andrew Wang, Jiaxuan You, Yu Wang, Jure Leskovec

SPMiner combines graph neural networks, order embedding space, and an efficient search strategy to identify network subgraph patterns that appear most frequently in the target graph.

Representation Learning Subgraph Counting

AnaloBench: Benchmarking the Identification of Abstract and Long-context Analogies

no code implementations19 Feb 2024 Xiao Ye, Andrew Wang, Jacob Choi, Yining Lu, Shreya Sharma, Lingfeng Shen, Vijay Tiyyala, Nicholas Andrews, Daniel Khashabi

Our benchmarking approach focuses on aspects of this ability that are common among humans: (i) recalling related experiences from a large amount of information, and (ii) applying analogical reasoning to complex and lengthy scenarios.

Benchmarking

Learning to Generate Text in Arbitrary Writing Styles

no code implementations28 Dec 2023 Aleem Khan, Andrew Wang, Sophia Hager, Nicholas Andrews

However, in applications such as writing assistants, it is desirable for language models to produce text in an author-specific style on the basis of a small writing sample.

Language Modelling Style Transfer +1

Ranking with Slot Constraints

no code implementations27 Oct 2023 Wentao Guo, Andrew Wang, Bradon Thymes, Thorsten Joachims

We introduce the problem of ranking with slot constraints, which can be used to model a wide range of application problems -- from college admission with limited slots for different majors, to composing a stratified cohort of eligible participants in a medical trial.

Identifying the Risks of LM Agents with an LM-Emulated Sandbox

1 code implementation25 Sep 2023 Yangjun Ruan, Honghua Dong, Andrew Wang, Silviu Pitis, Yongchao Zhou, Jimmy Ba, Yann Dubois, Chris J. Maddison, Tatsunori Hashimoto

Alongside the emulator, we develop an LM-based automatic safety evaluator that examines agent failures and quantifies associated risks.

Language Modelling Test +1

Can Authorship Representation Learning Capture Stylistic Features?

1 code implementation22 Aug 2023 Andrew Wang, Cristina Aggazzotti, Rebecca Kotula, Rafael Rivera Soto, Marcus Bishop, Nicholas Andrews

Automatically disentangling an author's style from the content of their writing is a longstanding and possibly insurmountable problem in computational linguistics.

Representation Learning Style Transfer

Boosted Prompt Ensembles for Large Language Models

1 code implementation12 Apr 2023 Silviu Pitis, Michael R. Zhang, Andrew Wang, Jimmy Ba

Methods such as chain-of-thought prompting and self-consistency have pushed the frontier of language model reasoning performance with no additional training.

GSM8K Language Modelling

Operator Splitting Value Iteration

no code implementations25 Nov 2022 Amin Rakhsha, Andrew Wang, Mohammad Ghavamzadeh, Amir-Massoud Farahmand

We introduce new planning and reinforcement learning algorithms for discounted MDPs that utilize an approximate model of the environment to accelerate the convergence of the value function.

reinforcement-learning Reinforcement Learning (RL)

Learning to Imitate Object Interactions from Internet Videos

no code implementations23 Nov 2022 Austin Patel, Andrew Wang, Ilija Radosavovic, Jitendra Malik

In this paper we make two main contributions: (1) a novel reconstruction technique RHOV (Reconstructing Hands and Objects from Videos), which reconstructs 4D trajectories of both the hand and the object using 2D image cues and temporal smoothness constraints; (2) a system for imitating object interactions in a physics simulator with reinforcement learning.

Object

Shadows Aren't So Dangerous After All: A Fast and Robust Defense Against Shadow-Based Adversarial Attacks

1 code implementation18 Aug 2022 Andrew Wang, Wyatt Mayor, Ryan Smith, Gopal Nookula, Gregory Ditzler

Robust classification is essential in tasks like autonomous vehicle sign recognition, where the downsides of misclassification can be grave.

Robust classification Test

Robust classification with flexible discriminant analysis in heterogeneous data

1 code implementation9 Jan 2022 Pierre Houdouin, Frédéric Pascal, Matthieu Jonckheere, Andrew Wang

Linear and Quadratic Discriminant Analysis are well-known classical methods but can heavily suffer from non-Gaussian distributions and/or contaminated datasets, mainly because of the underlying Gaussian assumption that is not robust.

Classification Robust classification

Simple Text Detoxification by Identifying a Linear Toxic Subspace in Language Model Embeddings

no code implementations15 Dec 2021 Andrew Wang, Mohit Sudhakar, Yangfeng Ji

We hypothesize the existence of a low-dimensional toxic subspace in the latent space of pre-trained language models, the existence of which suggests that toxic features follow some underlying pattern and are thus removable.

Abusive Language Language Modelling +1

Near Real-Time Social Distance Estimation in London

no code implementations7 Dec 2020 James Walsh, Oluwafunmilola Kesa, Andrew Wang, Mihai Ilas, Patrick O'Hara, Oscar Giles, Neil Dhir, Mark Girolami, Theodoros Damoulas

During the COVID-19 pandemic, policy makers at the Greater London Authority, the regional governance body of London, UK, are reliant upon prompt and accurate data sources.

Efficiently Exploring Ordering Problems through Conflict-directed Search

no code implementations15 Apr 2019 Jingkai Chen, Cheng Fang, David Wang, Andrew Wang, Brian Williams

In this paper, we present Conflict-directed Incremental Total Ordering (CDITO), a conflict-directed search method to incrementally and systematically generate event total orders given ordering relations and conflicts returned by sub-solvers.

Benchmarking Scheduling

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