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← Authors

Shangsong Liang

23 papers · 2019–2025 · 8 conferences · across top CS/AI conferences

Achievements

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+12 more ↓ πŸƒ Academic Marathon (6) 🌍 Conference Polyglot (8) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (15)
🐝 Cross-Pollinator (15) 🌈 Renaissance Researcher (9) πŸ—ΊοΈ Taxonomy Completionist (72) πŸ† Grand Slam πŸ† Keyword Champion ⚑ Prolific Year (5) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (134) πŸ’Ž Century Club (23) ❓ The Questioner πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (5)

Conferences

AAAI (6) EMNLP (6) NIPS (4) ACL (2) ICLR (2) ICML (1) IJCAI (1) NAACL (1)

Top co-authors

Zaiqiao Meng (8) Dilshod Azizov (7) Jiyong Li (6) Qiang Zhang (5) Jinyuan Fang (5) Teng Xiao (4) Guanzheng Chen (3) Lingbo Li (2) Preslav Nakov (2) Jiawei Gu (2)

Research topics

Natural Language Processing (1) Reasoning (1)

Keywords

variational inference (4) bayesian inference (3) collaborative filtering (3) catastrophic forgetting (3) knowledge distillation (2) ensemble learning (2) hyperparameter tuning (2) gaussian mixture model (2) graph neural network (2) gaussian process (2) pretrained language model (2) text classification (2) semi-supervised learning (1) domain adaptation (1) transfer learning (1) adversarial learning (1) bayesian learning (1) em algorithm (1) metric learning (1) decision making (1)

Papers

MGM: Global Understanding of Audience Overlap Graphs for Predicting the Factuality and the Bias of News Media NAACL 2025 MolRAG: Unlocking the Power of Large Language Models for Molecular Property Prediction ACL 2025 Speculative Reward Model Boosts Decision Making Ability of LLMs Cost-Effectively ACL 2025 L4: Mutual Learning Helps Lifelong Language Learning EMNLP 2025 SimPER: A Minimalist Approach to Preference Alignment without Hyperparameters ICLR 2025 Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation AAAI 2024 SAFARI: Cross-lingual Bias and Factuality Detection in News Media and News Articles EMNLP 2024 CLEX: Continuous Length Extrapolation for Large Language Models ICLR 2024 Bayesian Domain Adaptation with Gaussian Mixture Domain-Indexing NIPS 2024 Adaptive Compositional Continual Meta-Learning ICML 2023 Frank at ArAIEval Shared Task: Arabic Persuasion and Disinformation: The Power of Pretrained Models EMNLP 2023 Frank at NADI 2023 Shared Task: Trio-Based Ensemble Approach for Arabic Dialect Identification EMNLP 2023 Lotus at WojoodNER Shared Task: Multilingual Transformers: Unveiling Flat and Nested Entity Recognition EMNLP 2023 Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network AAAI 2022 Revisiting Parameter-Efficient Tuning: Are We Really There Yet? EMNLP 2022 Structure-Aware Random Fourier Kernel for Graphs NIPS 2021 Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval AAAI 2021 Variational Continual Bayesian Meta-Learning NIPS 2021 Collaborative, Dynamic and Diversified User Profiling AAAI 2019 Multi-Order Attentive Ranking Model for Sequential Recommendation AAAI 2019 Semi-supervisedly Co-embedding Attributed Networks NIPS 2019 ISLF: Interest Shift and Latent Factors Combination Model for Session-based Recommendation IJCAI 2019 Bayesian Deep Collaborative Matrix Factorization AAAI 2019