Dujian Ding

According to our database, Dujian Ding authored at least 15 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute.

Dujian Ding, Ankur Mallick, Shaokun Zhang, Chi Wang, Daniel Madrigal, Mirian del Carmen Hipolito Garcia, Menglin Xia, Laks V. S. Lakshmanan, Qingyun Wu, Victor Rühle

CoRR, June, 2025

Semantic Scheduling for LLM Inference.

Wenyue Hua, Dujian Ding, Yile Gu, Yujie Ren, Kai Mei, Minghua Ma, William Yang Wang

CoRR, June, 2025

Why Does Your CoT Prompt (Not) Work? Theoretical Analysis of Prompt Space Complexity, its Interaction with Answer Space During CoT Reasoning with LLMs: A Recurrent Perspective.

Xiang Zhang, Juntai Cao, Jiaqi Wei, Chenyu You, Dujian Ding

CoRR, March, 2025

ThriftLLM: On Cost-Effective Selection of Large Language Models for Classification Queries.

Keke Huang, Yimin Shi, Dujian Ding, Yifei Li, Yang Fei, Laks V. S. Lakshmanan, Xiaokui Xiao

CoRR, January, 2025

OCCAM: Towards Cost-Efficient and Accuracy-Aware Classification Inference.

Dujian Ding, Bicheng Xu, Laks V. S. Lakshmanan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Why Prompt Design Matters and Works: A Complexity Analysis of Prompt Search Space in LLMs.

Xiang Zhang, Juntai Cao, Chenyu You, Dujian Ding

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

PASS: Pruning Attention Heads with Almost-sure Sparsity Targets.

Dujian Ding, Ganesh Jawahar, Laks V. S. Lakshmanan

Trans. Mach. Learn. Res., 2024

EcoAct: Economic Agent Determines When to Register What Action.

Shaokun Zhang, Jieyu Zhang, Dujian Ding, Mirian Hipolito Garcia, Ankur Mallick, Daniel Madrigal, Menglin Xia, Victor Rühle, Qingyun Wu, Chi Wang

CoRR, 2024

Supervised Chain of Thought.

Xiang Zhang, Dujian Ding

CoRR, 2024

OCCAM: Towards Cost-Efficient and Accuracy-Aware Image Classification Inference.

Dujian Ding, Bicheng Xu, Laks V. S. Lakshmanan

CoRR, 2024

Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing.

Dujian Ding, Ankur Mallick, Chi Wang, Robert Sim, Subhabrata Mukherjee, Victor Rühle, Laks V. S. Lakshmanan, Ahmed Hassan Awadallah

Proceedings of the Twelfth International Conference on Learning Representations, 2024

LLM Performance Predictors are good initializers for Architecture Search.

Ganesh Jawahar, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Dujian Ding

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2022

On Efficient Approximate Queries over Machine Learning Models.

Dujian Ding, Sihem Amer-Yahia, Laks V. S. Lakshmanan

Proc. VLDB Endow., 2022

2019

Uncovering the subtype-specific temporal order of cancer pathway dysregulation.

Sahand Khakabimamaghani, Dujian Ding, Oliver Snow, Martin Ester

PLoS Comput. Biol., 2019

Collaborative intra-tumor heterogeneity detection.

Sahand Khakabimamaghani, Salem Malikic, Jeffrey Tang, Dujian Ding, Ryan D. Morin, Leonid Chindelevitch, Martin Ester

Bioinform., 2019