Search Results for author: Jingfeng Yang

Found 19 papers, 8 papers with code

WIKIBIAS: Detecting Multi-Span Subjective Biases in Language

1 code implementation Findings (EMNLP) 2021 Yang Zhong, Jingfeng Yang, Wei Xu, Diyi Yang

Biases continue to be prevalent in modern text and media, especially subjective bias – a special type of bias that introduces improper attitudes or presents a statement with the presupposition of truth.

GrowLength: Accelerating LLMs Pretraining by Progressively Growing Training Length

no code implementations1 Oct 2023 Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Chia-Yuan Chang, Xia Hu

Our method progressively increases the training length throughout the pretraining phase, thereby mitigating computational costs and enhancing efficiency.

Situated Natural Language Explanations

no code implementations27 Aug 2023 Zining Zhu, Haoming Jiang, Jingfeng Yang, Sreyashi Nag, Chao Zhang, Jie Huang, Yifan Gao, Frank Rudzicz, Bing Yin

To address this limitation, we propose an alternative perspective, situated NLE, including a situated generation framework and a situated evaluation framework.

Prompt Engineering

CCGen: Explainable Complementary Concept Generation in E-Commerce

no code implementations19 May 2023 Jie Huang, Yifan Gao, Zheng Li, Jingfeng Yang, Yangqiu Song, Chao Zhang, Zining Zhu, Haoming Jiang, Kevin Chen-Chuan Chang, Bing Yin

We propose and study Complementary Concept Generation (CCGen): given a concept of interest, e. g., "Digital Cameras", generating a list of complementary concepts, e. g., 1) Camera Lenses 2) Batteries 3) Camera Cases 4) Memory Cards 5) Battery Chargers.

Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond

1 code implementation26 Apr 2023 Jingfeng Yang, Hongye Jin, Ruixiang Tang, Xiaotian Han, Qizhang Feng, Haoming Jiang, Bing Yin, Xia Hu

This paper presents a comprehensive and practical guide for practitioners and end-users working with Large Language Models (LLMs) in their downstream natural language processing (NLP) tasks.

Language Modelling Natural Language Understanding +1

Mutually-paced Knowledge Distillation for Cross-lingual Temporal Knowledge Graph Reasoning

no code implementations27 Mar 2023 Ruijie Wang, Zheng Li, Jingfeng Yang, Tianyu Cao, Chao Zhang, Bing Yin, Tarek Abdelzaher

This paper investigates cross-lingual temporal knowledge graph reasoning problem, which aims to facilitate reasoning on Temporal Knowledge Graphs (TKGs) in low-resource languages by transfering knowledge from TKGs in high-resource ones.

Knowledge Distillation Knowledge Graphs +1

Choice Fusion as Knowledge for Zero-Shot Dialogue State Tracking

1 code implementation25 Feb 2023 Ruolin Su, Jingfeng Yang, Ting-Wei Wu, Biing-Hwang Juang

With the demanding need for deploying dialogue systems in new domains with less cost, zero-shot dialogue state tracking (DST), which tracks user's requirements in task-oriented dialogues without training on desired domains, draws attention increasingly.

Dialogue State Tracking Language Modelling +2

On the Security Vulnerabilities of Text-to-SQL Models

no code implementations28 Nov 2022 Xutan Peng, YiPeng Zhang, Jingfeng Yang, Mark Stevenson

Although it has been demonstrated that Natural Language Processing (NLP) algorithms are vulnerable to deliberate attacks, the question of whether such weaknesses can lead to software security threats is under-explored.


TableFormer: Robust Transformer Modeling for Table-Text Encoding

1 code implementation ACL 2022 Jingfeng Yang, Aditya Gupta, Shyam Upadhyay, Luheng He, Rahul Goel, Shachi Paul

Existing models for table understanding require linearization of the table structure, where row or column order is encoded as an unwanted bias.

Natural Language Understanding

LR-CNN: Local-aware Region CNN for Vehicle Detection in Aerial Imagery

no code implementations28 May 2020 Wentong Liao, Xiang Chen, Jingfeng Yang, Stefan Roth, Michael Goesele, Michael Ying Yang, Bodo Rosenhahn

This strengthens the local feature invariance for the resampled features and enables detecting vehicles in an arbitrary orientation.

object-detection Object Detection +1

Chinese Discourse Segmentation Using Bilingual Discourse Commonality

no code implementations30 Aug 2018 Jingfeng Yang, Sujian Li

Discourse segmentation aims to segment Elementary Discourse Units (EDUs) and is a fundamental task in discourse analysis.

Discourse Segmentation

Toward Fast and Accurate Neural Discourse Segmentation

1 code implementation EMNLP 2018 Yizhong Wang, Sujian Li, Jingfeng Yang

Discourse segmentation, which segments texts into Elementary Discourse Units, is a fundamental step in discourse analysis.

Discourse Segmentation

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