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09/07/2023
DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models
Despite their impressive capabilities, large language models (LLMs) are ...
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06/13/2023
Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images
Contrastive visual language pretraining has emerged as a powerful method...
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06/08/2023
Revealing the Blind Spot of Sentence Encoder Evaluation by HEROS
Existing sentence textual similarity benchmark datasets only use a singl...
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05/26/2023
Expand, Rerank, and Retrieve: Query Reranking for Open-Domain Question Answering
We propose EAR, a query Expansion And Reranking approach for improving p...
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04/07/2023
Interpretable Unified Language Checking
Despite recent concerns about undesirable behaviors generated by large l...
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04/07/2023
Cleansing Jewel: A Neural Spelling Correction Model Built On Google OCR-ed Tibetan Manuscripts
Scholars in the humanities rely heavily on ancient manuscripts to study ...
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10/07/2022
C2KD: Cross-Lingual Cross-Modal Knowledge Distillation for Multilingual Text-Video Retrieval
Multilingual text-video retrieval methods have improved significantly in...
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03/09/2022
DUAL: Discrete Spoken Unit Adaptive Learning for Textless Spoken Question Answering
Spoken Question Answering (SQA) is to find the answer from a spoken docu...
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10/04/2021
On the Interplay Between Sparsity, Naturalness, Intelligibility, and Prosody in Speech Synthesis
Are end-to-end text-to-speech (TTS) models over-parametrized? To what ex...
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06/14/2021
Mitigating Biases in Toxic Language Detection through Invariant Rationalization
Automatic detection of toxic language plays an essential role in protect...
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06/10/2021
PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition
Recent work on speech self-supervised learning (speech SSL) demonstrated...
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06/06/2021
Meta-learning for downstream aware and agnostic pretraining
Neural network pretraining is gaining attention due to its outstanding p...
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05/11/2021
Investigating the Reordering Capability in CTC-based Non-Autoregressive End-to-End Speech Translation
We study the possibilities of building a non-autoregressive speech-to-te...
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05/03/2021
SUPERB: Speech processing Universal PERformance Benchmark
Self-supervised learning (SSL) has proven vital for advancing research i...
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10/26/2020
Semi-Supervised Spoken Language Understanding via Self-Supervised Speech and Language Model Pretraining
Much recent work on Spoken Language Understanding (SLU) is limited in at...
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10/20/2020
What makes multilingual BERT multilingual?
Recently, multilingual BERT works remarkably well on cross-lingual trans...
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10/20/2020
Language Representation in Multilingual BERT and its applications to improve Cross-lingual Generalization
A token embedding in multilingual BERT (m-BERT) contains both language a...
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10/08/2020
Dual Inference for Improving Language Understanding and Generation
Natural language understanding (NLU) and Natural language generation (NL...
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10/05/2020
Lifelong Language Knowledge Distillation
It is challenging to perform lifelong language learning (LLL) on a strea...
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04/20/2020
A Study of Cross-Lingual Ability and Language-specific Information in Multilingual BERT
Recently, multilingual BERT works remarkably well on cross-lingual trans...
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10/25/2019
SpeechBERT: Cross-Modal Pre-trained Language Model for End-to-end Spoken Question Answering
While end-to-end models for spoken language understanding tasks have bee...
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10/03/2019
Towards Understanding of Medical Randomized Controlled Trials by Conclusion Generation
Randomized controlled trials (RCTs) represent the paramount evidence of ...
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01/17/2019
