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← Authors

Teng Xiao

24 papers · 2019–2026 · 9 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (6) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (13)
🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (47) πŸ† Grand Slam πŸ† Keyword Champion πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (101) ❓ The Questioner πŸ”₯ Unstoppable (5) πŸ’Ž Century Club (20) ⚑ Prolific Year (5)

Conferences

AAAI (6) NIPS (5) ACL (3) ICLR (3) EMNLP (2) ICML (2) EACL (1) IJCAI (1) NAACL (1)

Top co-authors

Zhengyu Chen (8) Vasant G Honavar (6) Huaisheng Zhu (6) Yige Yuan (5) Suhang Wang (5) Mingxiao Li (4) Shangsong Liang (4) Jingang Wang (3) Zhimeng Guo (3) Zaiqiao Meng (2)

Keywords

large language model (4) graph neural network (4) variational inference (2) collaborative filtering (2) logged feedback (2) reinforcement learning (2) large language model alignment (2) direct preference optimization (2) adversarial robustness (1) certified robustness (1) contrastive learning (1) bayesian inference (1) matrix factorization (1) em algorithm (1) domain generalization (1) policy optimization (1) semi-supervised learning (1) self-supervised learning (1) graph representation learning (1) imitation learning (1)

Papers

Incentivizing Strong Reasoning from Weak Supervision EACL 2026 From AR to Diffusion: Efficiently Adapting Large Language Models with Strictly Causal and Elastic Horizons ACL 2026 Scaling and Transferability of Annealing Strategies in Large Language Model Training AAAI 2026 From Mathematical Reasoning to Code: Generalization of Process Reward Models in Test-Time Scaling AAAI 2026 Reinforcement Learning for Large Language Models via Group Preference Reward Shaping EMNLP 2025 Revisiting Scaling Laws for Language Models: The Role of Data Quality and Training Strategies ACL 2025 Dialogue-RAG: Enhancing Retrieval for LLMs via Node-Linking Utterance Rewriting ACL 2025 On a Connection Between Imitation Learning and RLHF ICLR 2025 DSPO: Direct Score Preference Optimization for Diffusion Model Alignment ICLR 2025 SimPER: A Minimalist Approach to Preference Alignment without Hyperparameters ICLR 2025 InfoPO: On Mutual Information Maximization for Large Language Model Alignment NAACL 2025 How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective EMNLP 2024 Cal-DPO: Calibrated Direct Preference Optimization for Language Model Alignment NIPS 2024 In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation ICML 2024 Efficient Contrastive Learning for Fast and Accurate Inference on Graphs ICML 2024 Learning to Reweight for Generalizable Graph Neural Network AAAI 2024 Certifiably Robust Graph Contrastive Learning NIPS 2023 Simple and Asymmetric Graph Contrastive Learning without Augmentations NIPS 2023 Decoupled Self-supervised Learning for Graphs NIPS 2022 Towards Off-Policy Learning for Ranking Policies with Logged Feedback AAAI 2022 A General Offline Reinforcement Learning Framework for Interactive Recommendation AAAI 2021 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