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#artificial intelligence Preprint Oct 2026

Trace-to-Architecture: Capability Bottleneck Diagnosis for Harness Revision

Improving an LLM agent requires knowing what to change when it fails. Similar failures can require different fixes, and resolving one problem can expose another. We introduce Trace-to-Architecture (T2A), a framework that uses execution trajectories to determine what to change in an agent's harness and when those change...

Wen-Feng Wang, Jian-Rui Shi, Min-Gang Guo et al. · 0 citations
Preprint Sep 2026

MuSeR: Scalable Long-sequence Recommendation with Multi-interest Modeling

The contribution is a system-level integration that makes long-term, multi-interest, and multimodal modeling jointly deployable in a real-time production pipeline, together with the engineering practices required to sustain it.

Yong-Kang Fu, Bei-Ning Bao, Yu Jiang et al. · 0 citations
Book Open access Sep 2026

UNIQUE: A Unified Retrieval and Ranking System for Large-Scale Feed Recommendation

Results show that UNIQUE provides a stable, efficient, and production-ready framework for unified retrieval and ranking in industrial recommendation, and a balanced quantization mechanism is further introduced to mitigate codebook imbalance and improve long-tail representation.

Zhuang-Chen-Ying-Ying Liu, Yong-Kang Fu, Zuo-Dong Yang et al. · 0 citations
#natural language process... Preprint Sep 2026

FPCO-Dialog: A Multi-Turn False-Premise Benchmark for Correction and Cooperation in Vision-Language Models

FPCO-Dialog is introduced, a benchmark for evaluating correction and cooperation behavior in VLMs under repeated false premises, and reveals substantial and persistent cross-model differences in aggregate correction tendency, model-specific turn-wise dynamics, and systematic variation across false-premise types under t...

Jiayuan Ma, Yu-Qi Lu, Wei-Yang Guo et al. · 0 citations

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