Nelvin Tan - RankMe

19 papers A 1B 2Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Improved Evidence Extraction for Document Inconsistency Detection with LLMs. CoRR Nelvin Tan, Yaowen Zhang, James Asikin Cheung, Fusheng Liu, Yu-Ching Shih, Dong Yang
2025	J	`jnl`	Does Using Counterfactual Help LLMs Explain Textual Importance in Classification? CoRR Nelvin Tan, James Asikin Cheung, Yu-Ching Shih, Dong Yang, Amol Salunkhe
2025	—	`conf`	Flexible and Efficient Drift Detection Without Labels. ICDM (Workshops) Nelvin Tan, Yu-Ching Shih, Dong Yang, Amol Salunkhe
2025	J	`jnl`	Flexible and Efficient Drift Detection without Labels. CoRR Nelvin Tan, Yu-Ching Shih, Dong Yang, Amol Salunkhe
2025	J	`jnl`	Improved LLM Agents for Financial Document Question Answering. CoRR Nelvin Tan, Zian Seng, Liang Zhang, Yu-Ching Shih, Dong Yang, Amol Salunkhe
2025	J	`jnl`	Quantitative Group Testing and Pooled Data in the Linear Regime With Sublinear Tests. IEEE Trans. Inf. Theory Nelvin Tan, Pablo Pascual Cobo, Ramji Venkataramanan
2024	J	`jnl`	Approximate Message Passing with Rigorous Guarantees for Pooled Data and Quantitative Group Testing. SIAM J. Math. Data Sci. Nelvin Tan, Pablo Pascual Cobo, Jonathan Scarlett, Ramji Venkataramanan
2024	J	`jnl`	Quantitative Group Testing and Pooled Data in the Linear Regime with Sublinear Tests. CoRR Nelvin Tan, Pablo Pascual Cobo, Ramji Venkataramanan
2023	J	`jnl`	Approximate Message Passing with Rigorous Guarantees for Pooled Data and Quantitative Group Testing. CoRR Nelvin Tan, Jonathan Scarlett, Ramji Venkataramanan
2023	A	`conf`	Mixed Linear Regression via Approximate Message Passing. AISTATS Nelvin Tan, Ramji Venkataramanan
2023	J	`jnl`	Mixed Regression via Approximate Message Passing. CoRR Nelvin Tan, Ramji Venkataramanan
2023	J	`jnl`	Mixed Regression via Approximate Message Passing. J. Mach. Learn. Res. Nelvin Tan, Ramji Venkataramanan
2023	J	`jnl`	Performance Bounds for Group Testing With Doubly-Regular Designs. IEEE Trans. Inf. Theory Nelvin Tan, Way Tan, Jonathan Scarlett
2022	J	`jnl`	Near-Optimal Sparsity-Constrained Group Testing: Improved Bounds and Algorithms. IEEE Trans. Inf. Theory Oliver Gebhard, Max Hahn-Klimroth, Olaf Parczyk, Manuel Penschuck, Maurice Rolvien, Jonathan Scarlett, Nelvin Tan
2022	J	`jnl`	Performance Bounds for Group Testing With Doubly-Regular Designs. CoRR Nelvin Tan, Way Tan, Jonathan Scarlett
2021	B	`conf`	An Analysis of the DD Algorithm for Group Testing with Size-Constrained Tests. ISIT Nelvin Tan, Jonathan Scarlett
2021	J	`jnl`	Fast Splitting Algorithms for Sparsity-Constrained and Noisy Group Testing. CoRR Eric Price, Jonathan Scarlett, Nelvin Tan
2020	J	`jnl`	Improved Bounds and Algorithms for Sparsity-Constrained Group Testing. CoRR Nelvin Tan, Jonathan Scarlett
2020	B	`conf`	Near-Optimal Sparse Adaptive Group Testing. ISIT Nelvin Tan, Jonathan Scarlett