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cs.AI2026
FailForge: Distilling Procedural Competence from Persistent Failures into Code Agents
Dongyi Lv, Fushun E, Aichen Cai +8
Rejection sampling fine-tuning (RFT) is widely used to train code agents by generating trajectories on verifiable software engineering tasks, retaining those that pass the tests, a…
cs.AI2026
SearchAuditor: Auditing and Attributing Failures in Long-Horizon Search Agents
Zhixiang Liang, Yifei Liu, Yidan Huang +5
Deep search agents tackle challenging questions through long-horizon web interactions, a process that is both complex and fragile: small reasoning errors may propagate through long…
cs.AI2026
SearchMaster: Grounded and Regulated Self-Play for Search Agents
Wentao Tan, Qiong Cao, Jiaqi Wang +1
Training LLM-based search agents requires high-quality search data: tasks that demand genuine multi-hop retrieval and trajectories that use search tools effectively. Existing pipel…