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ABSeeker: Training Long-Horizon Search Agents via Answer-Backtracked Credit Assignment

63 upvotes · 5 AUG 2026 · Yijun Lu, Rui Ye, Jiajun Wang et al.

This paper proposes a new method for training long-horizon search agents that can search, retrieve, and integrate evidence to reach a final answer. Practitioners in natural language processing and AI research might care about this paper because it shows a way to improve the performance of search agents, which can be used in applications such as question-answering systems.

reinforcement learningsearch agentscredit assignmentnatural language processinglong-horizon planning