Search Results for author: Woojeong Jin

Found 14 papers, 5 papers with code

Modality-specific Distillation

no code implementations NAACL (maiworkshop) 2021 Woojeong Jin, Maziar Sanjabi, Shaoliang Nie, Liang Tan, Xiang Ren, Hamed Firooz

In this paper, we propose modality-specific distillation (MSD) to effectively transfer knowledge from a teacher on multimodal datasets.

Knowledge Distillation Meta-Learning

WinoViz: Probing Visual Properties of Objects Under Different States

no code implementations21 Feb 2024 Woojeong Jin, Tejas Srinivasan, Jesse Thomason, Xiang Ren

We present WinoViz, a text-only evaluation dataset, consisting of 1, 380 examples that probe the reasoning abilities of language models regarding variant visual properties of objects under different contexts or states.

Language Modelling

GRILL: Grounded Vision-language Pre-training via Aligning Text and Image Regions

no code implementations24 May 2023 Woojeong Jin, Subhabrata Mukherjee, Yu Cheng, Yelong Shen, Weizhu Chen, Ahmed Hassan Awadallah, Damien Jose, Xiang Ren

Generalization to unseen tasks is an important ability for few-shot learners to achieve better zero-/few-shot performance on diverse tasks.

Object Question Answering +2

Analyzing Norm Violations in Live-Stream Chat

no code implementations18 May 2023 Jihyung Moon, Dong-Ho Lee, Hyundong Cho, Woojeong Jin, Chan Young Park, Minwoo Kim, Jonathan May, Jay Pujara, Sungjoon Park

Previous approaches to detecting toxic language and norm violations have been primarily concerned with conversations from online forums and social media, such as Reddit and Twitter.

Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning

1 code implementation17 May 2023 Dong-Ho Lee, Kian Ahrabian, Woojeong Jin, Fred Morstatter, Jay Pujara

This shows that prior semantic knowledge is unnecessary; instead, LLMs can leverage the existing patterns in the context to achieve such performance.

In-Context Learning

Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-modal Knowledge Transfer

no code implementations ACL 2022 Woojeong Jin, Dong-Ho Lee, Chenguang Zhu, Jay Pujara, Xiang Ren

Pre-trained language models are still far from human performance in tasks that need understanding of properties (e. g. appearance, measurable quantity) and affordances of everyday objects in the real world since the text lacks such information due to reporting bias.

Image Captioning Language Modelling +1

ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data

no code implementations ACL 2021 Woojeong Jin, Rahul Khanna, Suji Kim, Dong-Ho Lee, Fred Morstatter, Aram Galstyan, Xiang Ren

In this work, we aim to formulate a task, construct a dataset, and provide benchmarks for developing methods for event forecasting with large volumes of unstructured text data.

Knowledge Graphs Language Modelling +5

Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution

1 code implementation9 Mar 2020 Sankalp Garg, Navodita Sharma, Woojeong Jin, Xiang Ren

We show that if the information contained in the graph and the time series data are closely related, then this inter-dependence can be used to predict the time series with improved accuracy.

Attribute Knowledge Graphs +4

Recurrent Event Network : Global Structure Inference Over Temporal Knowledge Graph

no code implementations25 Sep 2019 Woojeong Jin, He Jiang, Meng Qu, Tong Chen, Changlin Zhang, Pedro Szekely, Xiang Ren

We present Recurrent Event Network (RE-Net), a novel autoregressive architecture for modeling temporal sequences of multi-relational graphs (e. g., temporal knowledge graph), which can perform sequential, global structure inference over future time stamps to predict new events.

Link Prediction Temporal Sequences

Collaborative Policy Learning for Open Knowledge Graph Reasoning

2 code implementations IJCNLP 2019 Cong Fu, Tong Chen, Meng Qu, Woojeong Jin, Xiang Ren

We propose a novel reinforcement learning framework to train two collaborative agents jointly, i. e., a multi-hop graph reasoner and a fact extractor.

Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs

2 code implementations11 Apr 2019 Woojeong Jin, Meng Qu, Xisen Jin, Xiang Ren

The task becomes more challenging on temporal knowledge graphs, where each fact is associated with a timestamp.

Knowledge Graphs Link Prediction +1

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