Search Results for author: Pengfei Yu

Found 16 papers, 7 papers with code

Lifelong Event Detection with Knowledge Transfer

1 code implementation EMNLP 2021 Pengfei Yu, Heng Ji, Prem Natarajan

We focus on lifelong event detection as an exemplar case and propose a new problem formulation that is also generalizable to other IE tasks.

Event Detection Transfer Learning

COVID-19 Claim Radar: A Structured Claim Extraction and Tracking System

1 code implementation ACL 2022 Manling Li, Revanth Gangi Reddy, Ziqi Wang, Yi-shyuan Chiang, Tuan Lai, Pengfei Yu, Zixuan Zhang, Heng Ji

To tackle the challenge of accurate and timely communication regarding the COVID-19 pandemic, we present a COVID-19 Claim Radar to automatically extract supporting and refuting claims on a daily basis.

EVEDIT: Event-based Knowledge Editing with Deductive Editing Boundaries

no code implementations17 Feb 2024 Jiateng Liu, Pengfei Yu, Yuji Zhang, Sha Li, Zixuan Zhang, Heng Ji

The dynamic nature of real-world information necessitates efficient knowledge editing (KE) in large language models (LLMs) for knowledge updating.

knowledge editing

MuChin: A Chinese Colloquial Description Benchmark for Evaluating Language Models in the Field of Music

1 code implementation15 Feb 2024 ZiHao Wang, Shuyu Li, Tao Zhang, Qi Wang, Pengfei Yu, Jinyang Luo, Yan Liu, Ming Xi, Kejun Zhang

To this end, we present MuChin, the first open-source music description benchmark in Chinese colloquial language, designed to evaluate the performance of multimodal LLMs in understanding and describing music.

Information Retrieval Music Information Retrieval

Defining a New NLP Playground

no code implementations31 Oct 2023 Sha Li, Chi Han, Pengfei Yu, Carl Edwards, Manling Li, Xingyao Wang, Yi R. Fung, Charles Yu, Joel R. Tetreault, Eduard H. Hovy, Heng Ji

The recent explosion of performance of large language models (LLMs) has changed the field of Natural Language Processing (NLP) more abruptly and seismically than any other shift in the field's 80-year history.

Information Association for Language Model Updating by Mitigating LM-Logical Discrepancy

no code implementations29 May 2023 Pengfei Yu, Heng Ji

To evaluate and address the core challenge, we propose a new task formulation of the information updating task that only requires the provision of an unstructured updating corpus and evaluates the performance of information updating on the generalizability to question-answer pairs pertaining to the updating information.

Answer Generation knowledge editing +3

SongDriver: Real-time Music Accompaniment Generation without Logical Latency nor Exposure Bias

no code implementations13 Sep 2022 ZiHao Wang, Qihao Liang, Kejun Zhang, Yuxing Wang, Chen Zhang, Pengfei Yu, Yongsheng Feng, Wenbo Liu, Yikai Wang, Yuntai Bao, Yiheng Yang

In this paper, we propose SongDriver, a real-time music accompaniment generation system without logical latency nor exposure bias.

MUSE: Textual Attributes Guided Portrait Painting Generation

1 code implementation9 Nov 2020 Xiaodan Hu, Pengfei Yu, Kevin Knight, Heng Ji, Bo Li, Honghui Shi

Experiments show that our approach can accurately illustrate 78% textual attributes, which also help MUSE capture the subject in a more creative and expressive way.


AuxBlocks: Defense Adversarial Example via Auxiliary Blocks

no code implementations18 Feb 2019 Yueyao Yu, Pengfei Yu, Wenye Li

Deep learning models are vulnerable to adversarial examples, which poses an indisputable threat to their applications.

Hierarchical Relation Extraction with Coarse-to-Fine Grained Attention

1 code implementation EMNLP 2018 Xu Han, Pengfei Yu, Zhiyuan Liu, Maosong Sun, Peng Li

In this paper, we aim to incorporate the hierarchical information of relations for distantly supervised relation extraction and propose a novel hierarchical attention scheme.

Knowledge Graphs Relation +2

Tracking of enriched dialog states for flexible conversational information access

no code implementations9 Nov 2017 Yinpei Dai, Zhijian Ou, Dawei Ren, Pengfei Yu

The above observations motivate us to enrich current representation of dialog states and collect a brand new dialog dataset about movies, based upon which we build a new DST, called enriched DST (EDST), for flexible accessing movie information.

dialog state tracking slot-filling +1

Cannot find the paper you are looking for? You can Submit a new open access paper.