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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Shuang Li
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Publications
You can also find my articles on my Google Scholar profile.
Journal Articles
Conference Papers
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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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