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cs.CL2026
GrepSeek: Training Search Agents for Direct Corpus Interaction
Alireza Salemi, Chang Zeng, Atharva Nijasure +4
Large Language Model (LLM) search agents have shown strong promise for knowledge-intensive language tasks through multiple rounds of reasoning and information retrieval. Most exist…
cs.CL2025
RaDeR: Reasoning-aware Dense Retrieval Models
Debrup Das, Sam O' Nuallain, Razieh Rahimi
We propose RaDeR, a set of reasoning-based dense retrieval models trained with data derived from mathematical problem solving using large language models (LLMs). Our method leverag…