Papers by Renjie Liao

2 papers
Test-Time Steering for Lossless Text Compression via Weighted Product of Experts (2025.findings-emnlp)

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Challenge: gzip and neural compression models often lead to poor performance in unseen data.
Approach: They propose a framework that performs Test-Time Steering via a Weighted Product of Experts (wPoE)
Outcome: The proposed framework performs Test-Time Steering via a Weighted Product of Experts (wPoE) it integrates with any autoregressive language model, providing a practical solution for enhancing text compression across diverse data distributions.
Attention and Edge-Label Guided Graph Convolutional Networks for Named Entity Recognition (2022.emnlp-main)

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Challenge: Named entity recognition (NER) is the recognition of entities with specific meanings in the text, mainly including person, organization, location, etc.
Approach: They propose an edge-aware node joint update module and introduce a node-awful edge update module to explore hidden in structured information and solve the wrong dependency label information to some extent.
Outcome: The proposed model can exploit the structured information on the dependency tree to improve the recognition of long entities.

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