117 citations · 535 across the 71 of their papers we have counts for
75 papers
GyroNovo: Error-Guided Fragment Imputation with Mass-Aware Attention for De Novo Peptide Sequencing
Abdellah El Mekki, Laks V. S. Lakshmanan, Muhammad Abdul-Mageed
De novo peptide sequencing from tandem mass spectra is essential for identifying peptides without relying on reference databases. Despite advances in deep learning, accurate sequen…
When LLM Meets Tree Search: A Systematic View of Inference as Search in Large Language Models
Jiaqi Wei, Xiang Zhang, Yuejin Yang +10
As pretraining scaling laws approach saturation, Test-Time Scaling (TTS) has emerged as an important direction for improving reasoning by allocating inference-time compute to a fix…
Parameterized Fair Resource Allocation under Diversity Constraints
Keke Huang, Yik Yu Ng, Laks V. S. Lakshmanan +1
Resource allocation across multiple agent groups arises in many applications including e-commerce recommendation systems, housing assignment, and course allocation, and is commonly…
WISERouter: LLM Routing with Workload Budget Constraint
Yifei Li, Zihui Gao, Laks V. S. Lakshmanan
Large language models (LLMs) achieve impressive performance across multiple domains, but using the most capable model for every query is prohibitive at scale. LLM routing exploits…
DRFLOW: A Deep Research Benchmark for Personalized Workflow Prediction
Md Tawkat Islam Khondaker, Raymond Li, Muhammad Abdul-Mageed +2
Deep research (DR) systems are increasingly used for complex information-seeking tasks, but existing works mainly focus on generating reports and summaries. In contrast, many enter…
A Multi-Agent Approach for Claim Verification from Tabular Data Documents
Rudra Ranajee Saha, Laks V. S. Lakshmanan, Raymond T. Ng
We present a novel approach for claim verification from tabular data documents. Recent LLM-based approaches either employ complex pretraining/fine-tuning or decompose verification…