Haotian Ye
27 papers · 2021–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (10) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (9) π Academic Marathon (5)
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Conference Polyglot
(9)
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Cross-Pollinator
(10)
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Triple Crown
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Deep Specialist
(10)
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Keyword Collector
(109)
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Prolific Year
(12)
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Century Club
(26)
Conferences
ACL (4)
ICML (4)
NIPS (4)
EMNLP (3)
ICLR (3)
NAACL (3)
AISTATS (2)
COLING (2)
EACL (1)
ICCV (1)
Top co-authors
Keywords
low-resource language
(6)
crosslingual transfer
(4)
diffusion model
(3)
transfer learning
(2)
reinforcement learning
(2)
representation learning
(2)
contrastive learning
(2)
hate speech detection
(2)
multilingual pretrained language model
(2)
crosslingual alignment
(2)
distribution shift
(2)
federated learning
(2)
large language model
(2)
sampling strategy
(1)
hyperparameter optimization
(1)
text classification
(1)
zero-shot learning
(1)
domain generalization
(1)
question answering
(1)
autoregressive transformer
(1)
Papers
Reasoning or Knowledge: Stratified Evaluation of Biomedical LLMs
EACL 2026
Exploring the Role of Transliteration in In-Context Learning for Low-resource Languages Written in Non-Latin Scripts
EMNLP 2025
LangSAMP: Language-Script Aware Multilingual Pretraining
ACL 2025
XCOMPS: A Multilingual Benchmark of Conceptual Minimal Pairs
ACL 2025
Efficient and Asymptotically Unbiased Constrained Decoding for Large Language Models
AISTATS 2025
TransMI: A Framework to Create Strong Baselines from Multilingual Pretrained Language Models for Transliterated Data
COLING 2025
How Transliterations Improve Crosslingual Alignment
COLING 2025
A Federated Approach to Few-Shot Hate Speech Detection for Marginalized Communities
EMNLP 2025
CHORDS: Diffusion Sampling Accelerator with Multi-core Hierarchical ODE Solvers
ICCV 2025
Reducing Hallucinations in Large Vision-Language Models via Latent Space Steering
ICLR 2025
TFG-Flow: Training-free Guidance in Multimodal Generative Flow
ICLR 2025
Taxi1500: A Dataset for Multilingual Text Classification in 1500 Languages
NAACL 2025
Privacy-Preserving Federated Learning for Hate Speech Detection
NAACL 2025
In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering
ICML 2024
MoSECroT: Model Stitching with Static Word Embeddings for Crosslingual Zero-shot Transfer
NAACL 2024
TFG: Unified Training-Free Guidance for Diffusion Models
NIPS 2024
Geometric Trajectory Diffusion Models
NIPS 2024
Selecting Large Language Model to Fine-tune via Rectified Scaling Law
ICML 2024
Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer Reviews
ICML 2024
TransliCo: A Contrastive Learning Framework to Address the Script Barrier in Multilingual Pretrained Language Models
ACL 2024
Crosslingual Transfer Learning for Low-Resource Languages Based on Multilingual Colexification Graphs
EMNLP 2023
A Crosslingual Investigation of Conceptualization in 1335 Languages
ACL 2023
Discovering Latent Knowledge in Language Models Without Supervision
ICLR 2023
Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise
AISTATS 2023
Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective
NIPS 2023
On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness
ICML 2023
Towards a Theoretical Framework of Out-of-Distribution Generalization
NIPS 2021