Teng Xiao
24 papers · 2019–2026 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (53) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Champion
(2)
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Grand Slam
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
β
The Questioner
π
Century Club Β· Bronze
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Conference Pioneer
ποΈ
Keyword Collector
(121)
Top co-authors
Research topics
Machine Learning
(19)
Learning Types Β· Machine Learning
(13)
Deep Learning
(12)
Artificial Intelligence
(10)
Core AI
(9)
Optimization & Theory
(9)
Natural Language Processing
(7)
Models
(5)
Architectures
(4)
Core Methods
(4)
Learning Types Β· Deep Learning
(4)
Resources & Methods
(4)
Data Science & Analytics
(3)
Reinforcement Learning
(3)
Application Areas
(3)
Keywords
large language model
(6)
graph neural network
(5)
direct preference optimization
(3)
reinforcement learning
(2)
logged feedback
(2)
text generation
(2)
large language model alignment
(2)
reinforcement learning from human feedback
(2)
preference data
(2)
variational inference
(2)
collaborative filtering
(2)
imitation learning
(2)
diffusion model
(2)
contrastive learning
(2)
hyperparameter optimization
(1)
em algorithm
(1)
offline reinforcement learning
(1)
matrix factorization
(1)
bayesian inference
(1)
adversarial robustness
(1)
Papers
From AR to Diffusion: Efficiently Adapting Large Language Models with Strictly Causal and Elastic Horizons
ACL 2026
From Mathematical Reasoning to Code: Generalization of Process Reward Models in Test-Time Scaling
AAAI 2026
Incentivizing Strong Reasoning from Weak Supervision
EACL 2026
Scaling and Transferability of Annealing Strategies in Large Language Model Training
AAAI 2026
Dialogue-RAG: Enhancing Retrieval for LLMs via Node-Linking Utterance Rewriting
ACL 2025
DSPO: Direct Score Preference Optimization for Diffusion Model Alignment
ICLR 2025
InfoPO: On Mutual Information Maximization for Large Language Model Alignment
NAACL 2025
On a Connection Between Imitation Learning and RLHF
ICLR 2025
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
SimPER: A Minimalist Approach to Preference Alignment without Hyperparameters
ICLR 2025
Cal-DPO: Calibrated Direct Preference Optimization for Language Model Alignment
NeurIPS 2024
Efficient Contrastive Learning for Fast and Accurate Inference on Graphs
ICML 2024
How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective
EMNLP 2024
In-Context Sharpness as Alerts: An Inner Representation Perspective for Hallucination Mitigation
ICML 2024
Learning to Reweight for Generalizable Graph Neural Network
AAAI 2024
Certifiably Robust Graph Contrastive Learning
NeurIPS 2023
Simple and Asymmetric Graph Contrastive Learning without Augmentations
NeurIPS 2023
Decoupled Self-supervised Learning for Graphs
NeurIPS 2022
Towards Off-Policy Learning for Ranking Policies with Logged Feedback
AAAI 2022
A General Offline Reinforcement Learning Framework for Interactive Recommendation
AAAI 2021
Bayesian Deep Collaborative Matrix Factorization
AAAI 2019
ISLF: Interest Shift and Latent Factors Combination Model for Session-based Recommendation
IJCAI 2019
Semi-supervisedly Co-embedding Attributed Networks
NeurIPS 2019