Search Results for author: Xinpeng Wang

Found 11 papers, 7 papers with code

Look at the Text: Instruction-Tuned Language Models are More Robust Multiple Choice Selectors than You Think

no code implementations12 Apr 2024 Xinpeng Wang, Chengzhi Hu, Bolei Ma, Paul Röttger, Barbara Plank

We show that the text answers are more robust to question perturbations than the first token probabilities, when the first token answers mismatch the text answers.


ACTOR: Active Learning with Annotator-specific Classification Heads to Embrace Human Label Variation

no code implementations23 Oct 2023 Xinpeng Wang, Barbara Plank

We show that in the active learning setting, a multi-head model performs significantly better than a single-head model in terms of uncertainty estimation.

Active Learning

Large-Scale and Multi-Perspective Opinion Summarization with Diverse Review Subsets

1 code implementation20 Oct 2023 Han Jiang, Rui Wang, Zhihua Wei, Yu Li, Xinpeng Wang

Furthermore, our in-depth analysis verifies that the advanced selection of review subsets and the two-stage training scheme are vital to boosting the summarization performance.

Opinion Summarization

Open-domain Dialogue Generation Grounded with Dynamic Multi-form Knowledge Fusion

no code implementations24 Apr 2022 Feifei Xu, Shanlin Zhou, Xinpeng Wang, Yunpu Ma, Wenkai Zhang, Zhisong Li

To merge these two forms of knowledge into the dialogue effectively, we design a dynamic virtual knowledge selector and a controller that help to enrich and expand knowledge space.

Dialogue Generation Informativeness +1

SceneFormer: Indoor Scene Generation with Transformers

2 code implementations17 Dec 2020 Xinpeng Wang, Chandan Yeshwanth, Matthias Nießner

In contrast, we do not use any appearance information, and implicitly learn object relations using the self-attention mechanism of transformers.

Scene Generation

Controllable Multi-Character Psychology-Oriented Story Generation

1 code implementation11 Oct 2020 Feifei Xu, Xinpeng Wang, Yunpu Ma, Volker Tresp, Yuyi Wang, Shanlin Zhou, Haizhou Du

In our work, we aim to design an emotional line for each character that considers multiple emotions common in psychological theories, with the goal of generating stories with richer emotional changes in the characters.

Sentence Story Generation

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