Shuang Li
Researcher at 
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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
portfolio
publications
An approach for process model extraction by multi-grained text classification
Published in CAiSE, 2020
Process model extraction with multi-grained text classification.
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MM-CPred: A Multi-task Predictive Model for Continuous-Time Event Sequences with Mixture Learning Losses
Published in DASFAA, 2021
A multi-task predictive model for continuous-time event sequences with mixture learning losses.
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Pair-Level Supervised Contrastive Learning for Natural Language Inference
Published in ICASSP, 2022
Pair-level supervised contrastive learning for natural language inference.
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What makes the story forward? inferring commonsense explanations as prompts for future event generation
Published in SIGIR, 2022
Inferring commonsense explanations as prompts for future event generation.
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HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction
Published in NAACL, 2022
Unsupervised relation extraction with hierarchical exemplar contrastive learning.
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Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution
Published in EMNLP, 2022
Character-level white-box adversarial attacks against transformer models.
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Gaussian Prior Reinforcement Learning for Nested Named Entity Recognition
Published in ICASSP, 2023
Nested named entity recognition with Gaussian prior reinforcement learning.
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A Multi-level Supervised Contrastive Learning Framework for Low-Resource Natural Language Inference
Published in IEEE/ACM TASLP, 2023
A multi-level supervised contrastive learning framework for low-resource natural language inference.
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Exploring the Compositional Generalization in Context Dependent Text-to-SQL Parsing
Published in ACL Findings, 2023
Compositional generalization for context-dependent Text-to-SQL parsing.
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Enhancing Cross-lingual Natural Language Inference by Soft Prompting with Multilingual Verbalizer
Published in ACL, 2023
Cross-lingual natural language inference with soft prompting and multilingual verbalizers.
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Semantics Matters: AMR-based Path Aggregation Relational Network for Aspect-based Sentiment Analysis
Published in ACL, 2023
AMR-based path aggregation for aspect-based sentiment analysis.
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RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction
Published in EMNLP, 2023
Few-shot document-level relation extraction with relation-aware prototype learning.
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An Unforgeable Publicly Verifiable Watermark for Large Language Models
Published in ICLR, 2024
A publicly verifiable watermarking method for large language models.
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Enhancing Reinforcement Learning with Label-Sensitive Reward for Natural Language Understanding
Published in ACL, 2024
A label-sensitive reward design for reinforcement learning in natural language understanding.
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Strengthened Symbol Binding Makes Large Language Models Reliable Multiple-Choice Selectors
Published in ACL, 2024
Improving the reliability of multiple-choice selection in large language models.
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On the Robustness of Document-Level Relation Extraction Models to Entity Name Variations
Published in ACL Findings, 2024
Studying how document-level relation extraction models respond to entity name variations.
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Disentangling to Re-couple: Resolving the Similarity-Controllability Paradox in Subject-Driven Text-to-Image Generation
Published in CVPR, 2026
Subject-driven text-to-image generation with improved similarity and controllability.
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