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cs.AI2026
Bidirectional Preference Synthesis: Learning Prompt-Conditioned Preferences from Boundary Failures
Junbo Wang, Lidong Lu, Zhuoqun Li +4
Correction-based offline preference pipelines commonly treat model failures only as rejected responses under the original prompt. This supervision is incomplete for boundary failur…
cs.AI2025
Klear-AgentForge: Forging Agentic Intelligence through Posttraining Scaling
Qi Wang, Hongzhi Zhang, Jia Fu +12
Despite the proliferation of powerful agentic models, the lack of critical post-training details hinders the development of strong counterparts in the open-source community. In thi…