Search Results for author: Kexin Wang

Found 12 papers, 7 papers with code

DAPR: A Benchmark on Document-Aware Passage Retrieval

1 code implementation23 May 2023 Kexin Wang, Nils Reimers, Iryna Gurevych

To fill this gap, we propose and name this task Document-Aware Passage Retrieval (DAPR) and build a benchmark including multiple datasets from various domains, covering both DAPR and whole-document retrieval.

Passage Retrieval Retrieval

UKP-SQuARE v3: A Platform for Multi-Agent QA Research

no code implementations31 Mar 2023 Haritz Puerto, Tim Baumgärtner, Rachneet Sachdeva, Haishuo Fang, Hao Zhang, Sewin Tariverdian, Kexin Wang, Iryna Gurevych

To ease research in multi-agent models, we extend UKP-SQuARE, an online platform for QA research, to support three families of multi-agent systems: i) agent selection, ii) early-fusion of agents, and iii) late-fusion of agents.

Question Answering

UKP-SQuARE v2: Explainability and Adversarial Attacks for Trustworthy QA

1 code implementation19 Aug 2022 Rachneet Sachdeva, Haritz Puerto, Tim Baumgärtner, Sewin Tariverdian, Hao Zhang, Kexin Wang, Hossain Shaikh Saadi, Leonardo F. R. Ribeiro, Iryna Gurevych

In this paper, we introduce SQuARE v2, the new version of SQuARE, to provide an explainability infrastructure for comparing models based on methods such as saliency maps and graph-based explanations.

Adversarial Attack Explainable Models +2

RT-KGD: Relation Transition Aware Knowledge-Grounded Dialogue Generation

1 code implementation17 Jul 2022 Kexin Wang, Zhixu Li, Jiaan Wang, Jianfeng Qu, Ying He, An Liu, Lei Zhao

Nevertheless, the correlations between knowledge implied in the multi-turn context and the transition regularities between relations in KGs are under-explored.

Dialogue Generation Knowledge Graphs +1

UKP-SQUARE: An Online Platform for Question Answering Research

1 code implementation ACL 2022 Tim Baumgärtner, Kexin Wang, Rachneet Sachdeva, Max Eichler, Gregor Geigle, Clifton Poth, Hannah Sterz, Haritz Puerto, Leonardo F. R. Ribeiro, Jonas Pfeiffer, Nils Reimers, Gözde Gül Şahin, Iryna Gurevych

Recent advances in NLP and information retrieval have given rise to a diverse set of question answering tasks that are of different formats (e. g., extractive, abstractive), require different model architectures (e. g., generative, discriminative), and setups (e. g., with or without retrieval).

Explainable Models Information Retrieval +2

An Emotion-controlled Dialog Response Generation Model with Dynamic Vocabulary

no code implementations4 Mar 2021 Shuangyong Song, Kexin Wang, Chao Wang, Haiqing Chen, Huan Chen

In response generation task, proper sentimental expressions can obviously improve the human-like level of the responses.

Response Generation

Understanding Memory Modules on Learning Simple Algorithms

no code implementations1 Jul 2019 Kexin Wang, Yu Zhou, Shaonan Wang, Jiajun Zhang, Cheng-qing Zong

Recent work has shown that memory modules are crucial for the generalization ability of neural networks on learning simple algorithms.

Dimensionality Reduction

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