Introduces ShopTrajQA long-context benchmark and an RLVR-trained tool-augmented agent that bypasses LLM context limits by external file storage and code-based retrieval for shopping trajectories.
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SessionIntentBench is a large-scale multimodal benchmark for inter-session intention-shift modeling in e-commerce, with 1.95M intention entries and human-annotated gold labels showing current L(V)LMs struggle but improve when intention is injected.
citing papers explorer
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Customer-Agent: Overcoming Context Limitations in Ultra-Long Shopping Trajectories via Tool-Augmented Agents and RLVR
Introduces ShopTrajQA long-context benchmark and an RLVR-trained tool-augmented agent that bypasses LLM context limits by external file storage and code-based retrieval for shopping trajectories.
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SessionIntentBench: A Multi-task Inter-session Intention-shift Modeling Benchmark for E-commerce Customer Behavior Understanding
SessionIntentBench is a large-scale multimodal benchmark for inter-session intention-shift modeling in e-commerce, with 1.95M intention entries and human-annotated gold labels showing current L(V)LMs struggle but improve when intention is injected.