68 citations · 77 across the 12 of their papers we have counts for
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cs.CL2026
Beyond Outcome Rewards: Constructing and Assigning Retrieval Credit for Search Agents
Wenyu Huang, Xinyu Hou, Pavlos Vougiouklis +2
Search agents enable Large Language Models (LLMs) to iteratively retrieve and use information for complex multi-hop questions. Reinforcement Learning with Verifiable Rewards (RLVR)…
cs.AI2026
Self-Play Search Distillation for Large Language Model Reasoning
Lorenzo Molfetta, Wai-Chung Kwan, Giacomo Frisoni +5
Improving reasoning abilities in Large Language Models (LLMs) requires high-quality data that exposes difficult decisions, competing alternatives, and their consequences. Data scar…