Xiang Zhang

A Unified Perspective and Review on Tree Search for LLMs Test-Time Scaling

Enabling Thinking, Reflecting and Chain-of-Thought Reasoning with Biological Sequences

QuantAgent: Price-Driven Multi-Agent LLMs for High-Frequency Trading

Why Do LLMs Fail at Arithmetic Logic? A Diagnosis of Limits on Sequential Computation

Paper2Slide: A Multi-Agent Framework for Automatic Scientific Slide Generation

Test-Time Layer Recurrence Enables Ultra-Deep Thinking in LLMs Without Chain-of-Thought

TCMAgent: A Multi-Agent Framework for General Traditional Chinese Medicine

A Stitch in Time Forecasts Nine: Towards End-to-End Agentic Time Series Forecasting

Curriculum Learning for Biological Sequence Prediction: The Case of De Novo Peptide Sequencing

Retrieval is Not Enough: Enhancing RAG through Test-Time Critique and Optimization

Bidirectional Representations Augmented Autoregressive Biological Sequence Generation: Application in De Novo Peptide Sequencing

RankNovo: A Universal Reranking Approach for Robust De Novo Peptide Sequencing

Universal Biological Sequence Reranking for Improved De Novo Peptide Sequencing

Distilling Non-Autoregressive Model Knowledge for Autoregressive De Novo Peptide Sequencing

Supervised Chain of Thought