Search Results for author: Haolan Zhan

Found 21 papers, 5 papers with code

GOOD: Towards Domain Generalized Orientated Object Detection

no code implementations20 Feb 2024 Qi Bi, Beichen Zhou, Jingjun Yi, Wei Ji, Haolan Zhan, Gui-Song Xia

In this paper, we propose the task of domain generalized oriented object detection, which intends to explore the generalization of oriented object detectors on arbitrary unseen target domains.

Hallucination Object +3

RENOVI: A Benchmark Towards Remediating Norm Violations in Socio-Cultural Conversations

no code implementations17 Feb 2024 Haolan Zhan, Zhuang Li, Xiaoxi Kang, Tao Feng, Yuncheng Hua, Lizhen Qu, Yi Ying, Mei Rianto Chandra, Kelly Rosalin, Jureynolds Jureynolds, Suraj Sharma, Shilin Qu, Linhao Luo, Lay-Ki Soon, Zhaleh Semnani Azad, Ingrid Zukerman, Gholamreza Haffari

While collecting sufficient human-authored data is costly, synthetic conversations provide suitable amounts of data to help mitigate the scarcity of training data, as well as the chance to assess the alignment between LLMs and humans in the awareness of social norms.

Cross-Level Multi-Instance Distillation for Self-Supervised Fine-Grained Visual Categorization

no code implementations16 Jan 2024 Qi Bi, Wei Ji, Jingjun Yi, Haolan Zhan, Gui-Song Xia

To comprehensively learn the relation between informative patches and fine-grained semantics, the multi-instance knowledge distillation is implemented on both the region/image crop pairs from the teacher and student net, and the region-image crops inside the teacher / student net, which we term as intra-level multi-instance distillation and inter-level multi-instance distillation.

Fine-Grained Visual Categorization Knowledge Distillation +2

Natural Language Processing for Dialects of a Language: A Survey

no code implementations11 Jan 2024 Aditya Joshi, Raj Dabre, Diptesh Kanojia, Zhuang Li, Haolan Zhan, Gholamreza Haffari, Doris Dippold

Motivated by the performance degradation of NLP models for dialectic datasets and its implications for the equity of language technologies, we survey past research in NLP for dialects in terms of datasets, and approaches.

Attribute Machine Translation +4

Pairwise GUI Dataset Construction Between Android Phones and Tablets

2 code implementations NeurIPS 2023 Han Hu, Haolan Zhan, Yujin Huang, Di Liu

There are currently several publicly accessible GUI page datasets for phones, but none for pairwise GUIs between phones and tablets.

G3Detector: General GPT-Generated Text Detector

no code implementations22 May 2023 Haolan Zhan, Xuanli He, Qiongkai Xu, Yuxiang Wu, Pontus Stenetorp

The burgeoning progress in the field of Large Language Models (LLMs) heralds significant benefits due to their unparalleled capacities.

Text Detection

Turning Flowchart into Dialog: Augmenting Flowchart-grounded Troubleshooting Dialogs via Synthetic Data Generation

1 code implementation2 May 2023 Haolan Zhan, Sameen Maruf, Lizhen Qu, YuFei Wang, Ingrid Zukerman, Gholamreza Haffari

Flowchart-grounded troubleshooting dialogue (FTD) systems, which follow the instructions of a flowchart to diagnose users' problems in specific domains (e. g., vehicle, laptop), have been gaining research interest in recent years.

Data Augmentation Response Generation +2

Let's Negotiate! A Survey of Negotiation Dialogue Systems

no code implementations18 Dec 2022 Haolan Zhan, YuFei Wang, Tao Feng, Yuncheng Hua, Suraj Sharma, Zhuang Li, Lizhen Qu, Gholamreza Haffari

Negotiation is one of the crucial abilities in human communication, and there has been a resurgent research interest in negotiation dialogue systems recently, which goal is to empower intelligent agents with such ability that can efficiently help humans resolve conflicts or reach beneficial agreements.

Augmenting Knowledge-grounded Conversations with Sequential Knowledge Transition

no code implementations NAACL 2021 Haolan Zhan, Hainan Zhang, Hongshen Chen, Zhuoye Ding, Yongjun Bao, Yanyan Lan

In particular, a sequential knowledge transition model equipped with a pre-trained knowledge-aware response generator (SKT-KG) formulates the high-level knowledge transition and fully utilizes the limited knowledge data.

Response Generation

Probing Product Description Generation via Posterior Distillation

no code implementations2 Mar 2021 Haolan Zhan, Hainan Zhang, Hongshen Chen, Lei Shen, Zhuoye Ding, Yongjun Bao, Weipeng Yan, Yanyan Lan

To tackle this problem, we propose an adaptive posterior network based on Transformer architecture that can utilize user-cared information from customer reviews.

Learning to Select Context in a Hierarchical and Global Perspective for Open-domain Dialogue Generation

no code implementations18 Feb 2021 Lei Shen, Haolan Zhan, Xin Shen, Yang Feng

Open-domain multi-turn conversations mainly have three features, which are hierarchical semantic structure, redundant information, and long-term dependency.

Decoder Dialogue Generation +1

User-Inspired Posterior Network for Recommendation Reason Generation

no code implementations16 Feb 2021 Haolan Zhan, Hainan Zhang, Hongshen Chen, Lei Shen, Yanyan Lan, Zhuoye Ding, Dawei Yin

A simple and effective way is to extract keywords directly from the knowledge-base of products, i. e., attributes or title, as the recommendation reason.

Question Answering

Modeling Semantic Relationship in Multi-turn Conversations with Hierarchical Latent Variables

no code implementations ACL 2019 Lei Shen, Yang Feng, Haolan Zhan

Multi-turn conversations consist of complex semantic structures, and it is still a challenge to generate coherent and diverse responses given previous utterances.

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