activity
20182023
most citedSAM Struggles in Concealed Scenes -- Empirical Study on Segment Anything

97 citations · 350 across the 22 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.CL2020★ 2 cited

Cross-lingual Spoken Language Understanding with Regularized Representation Alignment

Zihan Liu, Genta Indra Winata, Peng Xu +2

Despite the promising results of current cross-lingual models for spoken language understanding systems, they still suffer from imperfect cross-lingual representation alignments be…

cs.CL2020★ 11 cited

Improve Transformer Models with Better Relative Position Embeddings

Zhiheng Huang, Davis Liang, Peng Xu +1

Transformer architectures rely on explicit position encodings in order to preserve a notion of word order. In this paper, we argue that existing work does not fully utilize positio…

cs.IR2020★ 24 cited

Embedding-based Zero-shot Retrieval through Query Generation

Davis Liang, Peng Xu, Siamak Shakeri +4

Passage retrieval addresses the problem of locating relevant passages, usually from a large corpus, given a query. In practice, lexical term-matching algorithms like BM25 are popul…

cs.CL2020★ 27 cited

EmoGraph: Capturing Emotion Correlations using Graph Networks

Peng Xu, Zihan Liu, Genta Indra Winata +2

Most emotion recognition methods tackle the emotion understanding task by considering individual emotion independently while ignoring their fuzziness nature and the interconnection…

cs.CL2020★ 26 cited

TRANS-BLSTM: Transformer with Bidirectional LSTM for Language Understanding

Zhiheng Huang, Peng Xu, Davis Liang +2

Bidirectional Encoder Representations from Transformers (BERT) has recently achieved state-of-the-art performance on a broad range of NLP tasks including sentence classification, m…