co-evolution 1large language models 1rubric generation 1solver improvement 1text-space optimization 1
From the 1 of 10 linked papers with an AI index.
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cs.IR2026
From Item-Only to Query-Item: Query-Conditioned Generative Search with QGS in Quark
Yanglong Song, Zihao Yang, Shuo Meng +6
Generative sequence models have shown strong results in recommendation. Applying them to search ranking is more challenging. Search behavior is inherently query-driven. Each query…
cs.IR2026
RAG-Match: Retrieval-Augmented Knowledge Injection and Hierarchical Reasoning for Calibrated Semantic Relevance
Hengjun Jiang, Liansheng Sun, Yan Jiang +6
Semantic relevance judgment for search is particularly challenging in knowledge-intensive scenarios, where accurate ranking requires not only semantic matching but also background…
cs.IR2026
ResRank: Unifying Retrieval and Listwise Reranking via End-to-End Joint Training with Residual Passage Compression
Xiaojie Ke, Shuai Zhang, Liansheng Sun +6
Large language model (LLM) based listwise reranking has emerged as the dominant paradigm for achieving state-of-the-art ranking effectiveness in information retrieval. However, its…