Xitong Zhang
17 papers · 2020–2025 · 9 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (7) π Interdisciplinary Bridge π Conference Polyglot (9) π Academic Marathon (5) πΊοΈ Taxonomy Completionist (27)
πΊοΈ
Taxonomy Completionist
(27)
π§
Keyword Pioneer
π§¬
Topic Evolution
π
Grand Slam
π
Keyword Champion
(4)
β‘
Prolific Year
(7)
ποΈ
Keyword Collector
(66)
π
Century Club
(16)
π₯
Unstoppable
(6)
Conferences
EMNLP (4)
AAAI (2)
AACL (2)
ICLR (2)
IJCNLP (2)
NIPS (2)
ACL (1)
ICML (1)
NAACL (1)
Top co-authors
Keywords
moral reasoning
(4)
large language model
(4)
deep learning
(3)
moral self-correction
(3)
hot wallet
(2)
risk management
(2)
intrinsic self-correction
(2)
threshold estimation
(2)
cryptocurrency exchange
(2)
convergence analysis
(1)
reinforcement learning from human feedback
(1)
safety alignment
(1)
time series prediction
(1)
model uncertainty
(1)
prompt engineering
(1)
few-shot learning
(1)
ai safety
(1)
generalization bound
(1)
ethical judgment
(1)
distributional semantics
(1)
Papers
Moral Self-correction is Not An Innate Capability in Language Models
AACL 2025
On the Convergence of Moral Self-Correction in Large Language Models
AACL 2025
Not All Voices Are Rewarded Equally: Probing and Repairing Reward Models across Human Diversity
EMNLP 2025
Diagnosing Moral Reasoning Acquisition in Language Models: Pragmatics and Generalization
EMNLP 2025
Discourse Heuristics For Paradoxically Moral Self-Correction
EMNLP 2025
On the Convergence of Moral Self-Correction in Large Language Models
IJCNLP 2025
Moral Self-correction is Not An Innate Capability in Language Models
IJCNLP 2025
Smaller Large Language Models Can Do Moral Self-Correction
NAACL 2025
Towards Understanding Task-agnostic Debiasing Through the Lenses of Intrinsic Bias and Forgetfulness
ACL 2024
Optimal Eye Surgeon: Finding image priors through sparse generators at initialization
ICML 2024
Implicit regularization in Heavy-ball momentum accelerated stochastic gradient descent
ICLR 2023
PAC-tuning: Fine-tuning Pre-trained Language Models with PAC-driven Perturbed Gradient Descent
EMNLP 2023
Unsupervised Learning of Full-Waveform Inversion: Connecting CNN and Partial Differential Equation in a Loop
ICLR 2022
OpenFWI: Large-scale Multi-structural Benchmark Datasets for Full Waveform Inversion
NIPS 2022
MagNet: A Neural Network for Directed Graphs
NIPS 2021
Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading Platforms (Student Abstract)
AAAI 2020
Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading Platforms
AAAI 2020