Richong Zhang

Learning to Select: Query-Aware Adaptive Dimension Selection for Dense Retrieval ACL 2026 Rethinking Label Consistency of In-Context Learning: An Implicit Transductive Label Propagation Perspective AAAI 2026 Adversarial Metric Learning for Fine-Grained Emotion Classification ACL 2026 Semi-Supervised Multimodal Classification Through Learning from Modal and Strategic Complementarities AAAI 2025 Momentum Pseudo-Labeling for Weakly Supervised Phrase Grounding AAAI 2025 Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents EMNLP 2025 Calibrating Pseudo-Labeling with Class Distribution for Semi-supervised Text Classification EMNLP 2025 A Text is Worth Several Tokens: Text Embedding from LLMs Secretly Aligns Well with The Key Tokens ACL 2025 Dynamic Task Vector Grouping for Efficient Multi-Task Prompt Tuning ACL 2025 Implicit Word Reordering with Knowledge Distillation for Cross-Lingual Dependency Parsing AAAI 2025 GeoILP: A Synthetic Dataset to Guide Large-Scale Rule Induction ICLR 2025 Improving Data Annotation for Low-Resource Relation Extraction with Logical Rule-Augmented Collaborative Language Models NAACL 2025 Towards Better Understanding of Contrastive Sentence Representation Learning: A Unified Paradigm for Gradient ACL 2024 Improving Zero-Shot Cross-Lingual Transfer via Progressive Code-Switching IJCAI 2024 Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model AAAI 2024 On Unsupervised Domain Adaptation: Pseudo Label Guided Mixup for Adversarial Prompt Tuning AAAI 2024 Code-Style In-Context Learning for Knowledge-Based Question Answering AAAI 2024 Open-Set Semi-Supervised Text Classification via Adversarial Disagreement Maximization ACL 2024 Progressively Modality Freezing for Multi-Modal Entity Alignment ACL 2024 LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models ACL 2024 On The Inadequacy of Optimizing Alignment and Uniformity in Contrastive Learning of Sentence Representations ICLR 2023 Prototype-Guided Pseudo Labeling for Semi-Supervised Text Classification ACL 2023 Tucker Decomposition with Frequency Attention for Temporal Knowledge Graph Completion ACL 2023 Multi-Mask Label Mapping for Prompt-Based Learning AAAI 2023 Adversarial Word Dilution as Text Data Augmentation in Low-Resource Regime AAAI 2023 Anaphor Assisted Document-Level Relation Extraction EMNLP 2023 Parameter-free Automatically Prompting: A Latent Pseudo Label Mapping Model for Prompt-based Learning EMNLP 2022 Contrastive Learning with Expectation-Maximization for Weakly Supervised Phrase Grounding EMNLP 2022 Text Style Transferring via Adversarial Masking and Styled Filling EMNLP 2022 DropMix: A Textual Data Augmentation Combining Dropout with Mixup EMNLP 2022 ContrastNet: A Contrastive Learning Framework for Few-Shot Text Classification AAAI 2022 Unsupervised Sentence Representation via Contrastive Learning with Mixing Negatives AAAI 2022 An Unsupervised Multiple-Task and Multiple-Teacher Model for Cross-lingual Named Entity Recognition ACL 2022 A Transformational Biencoder with In-Domain Negative Sampling for Zero-Shot Entity Linking ACL 2022 E-VarM: Enhanced Variational Word Masks to Improve the Interpretability of Text Classification Models COLING 2022 Explicit Role Interaction Network for Event Argument Extraction EMNLP 2022 Regularizing Neural Networks via Adversarial Model Perturbation CVPR 2021 Progressive Multi-task Learning with Controlled Information Flow for Joint Entity and Relation Extraction AAAI 2021 On Scalar Embedding of Relative Positions in Attention Models AAAI 2021 Hypernym Discovery via a Recurrent Mapping Model ACL 2021 Keyphrase Extraction with Incomplete Annotated Training Data EMNLP 2021 Robust Regularization with Adversarial Labelling of Perturbed Samples IJCAI 2021 Hierarchical Modeling of Label Dependency and Label Noise in Fine-grained Entity Typing IJCAI 2021 Hypernym Discovery via a Recurrent Mapping Model IJCNLP 2021 Learning VAE-LDA Models with Rounded Reparameterization Trick EMNLP 2020 Aggregated Learning: A Vector-Quantization Approach to Learning Neural Network Classifiers AAAI 2020 Replicate, Walk, and Stop on Syntax: An Effective Neural Network Model for Aspect-Level Sentiment Classification AAAI 2020 Relation Extraction with Convolutional Network over Learnable Syntax-Transport Graph AAAI 2020 Neural Dialogue State Tracking with Temporally Expressive Networks EMNLP 2020 Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations EMNLP 2020 Parallel Interactive Networks for Multi-Domain Dialogue State Generation EMNLP 2020 Modeling Noisy Hierarchical Types in Fine-Grained Entity Typing: A Content-Based Weighting Approach IJCAI 2019 Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree IJCNLP 2019 Generating Chinese Ci with Designated Metrical Structure AAAI 2019 MixUp as Locally Linear Out-of-Manifold Regularization AAAI 2019 Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework IJCNLP 2019 Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree EMNLP 2019 Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework EMNLP 2019 LENA: Locality-Expanded Neural Embedding for Knowledge Base Completion AAAI 2019 The APVA-TURBO Approach To Question Answering in Knowledge Base COLING 2018 Syntax Encoding with Application in Authorship Attribution EMNLP 2018 On the Representation and Embedding of Knowledge Bases beyond Binary Relations IJCAI 2016