Ting-Han Fan

At ByteDance Seed

• Virtual Width Networks, ByteDance Seed, arXiv:2511.11238.
• Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning, ByteDance Seed, arXiv:2504.13914.
• MIR-Bench: Can Your LLM Recognize Complicated Patterns via Many-Shot In-Context Reasoning?, Kai Yan, Zhan Ling, Kang Liu, Yifan Yang, Ting-Han Fan, Lingfeng Shen, Zhengyin Du, Jiecao Chen, NeurIPS 2025 Datasets and Benchmarks Track.
• LongReason: A Synthetic Long-Context Reasoning Benchmark via Context Expansion, Zhan Ling, Kang Liu, Kai Yan, Yifan Yang, Weijian Lin, Ting-Han Fan, Lingfeng Shen, Zhengyin Du, Jiecao Chen, arXiv:2501.15089.

Length Extrapolation of Transformers

• Attention Alignment and Flexible Positional Embeddings Improve Transformer Length Extrapolation, Ta-Chung Chi, Ting-Han Fan, Alexander I. Rudnicky, Findings of NAACL 2024.
• Dissecting Transformer Length Extrapolation via the Lens of Receptive Field Analysis, Ta-Chung Chi, Ting-Han Fan, Alexander I. Rudnicky, Peter J. Ramadge, ACL 2023. (Outstanding Paper Award) [link]
• Latent Positional Information is in the Self-Attention Variance of Transformer Language Models Without Positional Embeddings, Ta-Chung Chi, Ting-Han Fan, Li-Wei Chen, Alexander I. Rudnicky, Peter J. Ramadge, ACL 2023. (Honorable Mention) [link]
• KERPLE: Kernelized Relative Positional Embedding for Length Extrapolation, Ta-Chung Chi*, Ting-Han Fan*, Peter J. Ramadge, Alexander I. Rudnicky, NeurIPS 2022. [code]

Regular Language Reasoning

• Advancing Regular Language Reasoning in Linear Recurrent Neural Networks, Ting-Han Fan*, Ta-Chung Chi*, Alexander I. Rudnicky, NAACL 2024. [code]
• Transformer Working Memory Enables Regular Language Reasoning and Natural Language Length Extrapolation, Ta-Chung Chi, Ting-Han Fan, Alexander I. Rudnicky, Peter J. Ramadge, Findings of EMNLP 2023.

Reparameterization for Discrete Deep Generative Models

• Training Discrete Deep Generative Models via Gapped Straight-Through Estimator, Ting-Han Fan*, Ta-Chung Chi*, Alexander I. Rudnicky, Peter J. Ramadge, ICML 2022. [code] [SlidesLive]

Reinforcement Learning for Power Distribution System Controls

• PowerGym: A Reinforcement Learning Environment for Volt-Var Control in Power Distribution Systems, Ting-Han Fan, Xian Yeow Lee, Yubo Wang, L4DC 2022. [code]
• Soft Actor-critic With Integer Actions, Ting-Han Fan, Yubo Wang, ACC 2022.

Model-based Reinforcement Learning

• A Contraction Approach to Model-based Reinforcement Learning, Ting-Han Fan, Peter J. Ramadge, AISTATS 2021. [SildesLive]

(* denotes equal contribution)