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Xing-Run Xing

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Jul 2026

FaithEyes: Towards Faithful Tool Use via Multi-Agent Process-Image Verification

FaithEyes, a multi-agent self-judging framework that uses a VLM to judge whether each process image helps answer the question and designs a multi-agent framework where the model itself serves as a subagent to judge the tool calls from the main agent, eliminating any dependence on external models at inference.

Haoqing Wang, Xing-Run Xing, Wei Xia et al. · 1 citation
Jul 2026

Full-Stack FP4: Stable LLM Pretraining with Quantized Projections, Optimizers, and Attention

Full-Stack FP4 is presented, a modular NVFP4 framework with separate recipes for projections, AdamW states, Root/Muon computation, and attention, and mixed-precision attention that protects a compact projection subspace in BF16 while retaining full-shape NVFP4 computation.

Siyu Ding, Ming Ma, Jiabo Tong et al. · 3 citations

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