2 papers
cs.CL2026
APEX-Searcher: Refining Credit Assignment with Subgoaling for Agentic Retrieval-Augmented Generation
Kun Chen, Qingchao Kong, Zhao Feifei +1
Retrieval-augmented generation (RAG) connects large language models (LLMs) to external knowledge, but single-round retrieval is often insufficient for complex multi-hop questions.…
cs.RO2026
Agentic Reward Modeling: Verifying GUI Agent via Progressive Trajectory-Grounded Interaction
Chaoqun Cui, Jing Huang, Shijing Wang +3
Reinforcement learning with verifiable rewards (RLVR) provides a promising pathway for continuously advancing GUI agents, yet existing reward modeling paradigms face complementary…