Ya-Qin Zhang
2 indexed papers
Recent (6 mo)
2With code
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226
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AI×2Biomolecules×1
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2026
AMix-2: Establishing Protein as a Native Modality in Large Language Models
The paper introduces AMix-2, a novel protein-text foundation model that unifies protein understanding and sequence design by embedding both modalities in a shared token space, achieving state-of-the-art performance on comprehensive benchmarks.
E-Bench: Benchmarking Multi-Step Tool-Use Agents in Real-World Product Scenarios
The paper introduces E-Bench, a synthetic benchmark for evaluating multi-step tool use in Large Language Models across three product domains.
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Papers
cs.AIEmpiricalRecentJul 26, 2026
E-Bench: Benchmarking Multi-Step Tool-Use Agents in Real-World Product Scenarios
Weihuang Zheng, Tianyuan Zou, Eileen Ye, Alphet Liu +4 more
The paper introduces E-Bench, a synthetic benchmark for evaluating multi-step tool use in Large Language Models across three product domains.
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q-bio.BMcs.AIRecentMay 29, 2026