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From the 1 of 8 linked papers with an AI index.

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8 papers

cs.CL2026

EntSQL: A Benchmark for Grounding Text-to-SQL in Long-Context Enterprise Knowledge

Chengxi Liao, Tao Xu, Zulong Chen +7

The paper presents EntSQL, a benchmark designed to evaluate text-to-SQL models on enterprise tasks that require grounding in long, proprietary business documents, using a bilingual…

cs.CL2026

DeInfer: Efficient Parallel Inferencing for Decomposed Large Language Models

You-Liang Huang, Xinhao Huang, Chengxi Liao +1

Existing works on large language model (LLM) decomposition mainly focus on improving performance on downstream tasks, but they ignore the poor parallel inference performance when t…

cs.LG2026

Taxon: Hierarchical Tax Code Prediction with Semantically Aligned LLM Expert Guidance

Jihang Li, Qing Liu, Zulong Chen +4

Tax code prediction is a crucial yet underexplored task in automating invoicing and compliance management for large-scale e-commerce platforms. Each product must be accurately mapp…

cs.AI2026

Enhancing Online Recruitment with Category-Aware MoE and LLM-based Data Augmentation

Minping Chen, Bing Xu, Zulong Chen +4

Person-Job Fit (PJF) is a critical component for online recruitment. Existing approaches face several challenges, particularly in handling low-quality job descriptions and similar…

cs.CL2026

SoLA: Leveraging Soft Activation Sparsity and Low-Rank Decomposition for Large Language Model Compression

Xinhao Huang, You-Liang Huang, Zeyi Wen

Large language models (LLMs) have demonstrated impressive capabilities across various tasks, but the billion-scale parameters pose deployment challenges. Although existing methods…

cs.CV2026

DOne: Decoupling Structure and Rendering for High-Fidelity Design-to-Code Generation

Xinhao Huang, Jinke Yu, Wenhao Xu +5

While Vision Language Models (VLMs) have shown promise in Design-to-Code generation, they suffer from a "holistic bottleneck-failing to reconcile high-level structural hierarchy wi…