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Haotian Ye

27 papers · 2021–2026 · 10 conferences · across top CS/AI conferences

Achievements

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+7 more ↓ 🐝 Cross-Pollinator (10) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (5)
🌍 Conference Polyglot (9) 🐝 Cross-Pollinator (10) πŸ‘‘ Triple Crown πŸ”¬ Deep Specialist (10) πŸ—ƒοΈ Keyword Collector (109) ⚑ Prolific Year (12) πŸ’Ž Century Club (26)

Conferences

ACL (4) ICML (4) NIPS (4) EMNLP (3) ICLR (3) NAACL (3) AISTATS (2) COLING (2) EACL (1) ICCV (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