Tong Zhang

Reranking algorithms have made progress in improving document retrieval quality by efficiently aggregating relevance judgments generated by large language models (LLMs). However, identifying relevant documents for queries that require in-depth reasoning remains a major challenge. Reasoning-intens...

The field of AI research is advancing at an unprecedented pace, enabling automated hypothesis generation and experimental design across diverse domains such as biology, mathematics, and artificial intelligence. Despite these advancements, there remains a significant gap in the availability of sca...

Reward Modeling is critical in evaluating and improving the generation of Large Language Models (LLMs). % They are typically trained on high-quality annotated datasets to distinguish between better and worse responses. While numerous recent works have shown its feasibility in improving safety, he...