Papers
ACRM: Multi-Agent Trajectory Learning for Automated Credit Risk Model Refreshing in Production
Liangzu Liu, Mengzhe Ruan, Xiaotian Chen et al.
TrendPulse: A Simple yet Efficient Framework for Capturing Viral E-Commerce Spikes via LLM-Driven Contextualization
Arin Jain, Devashish Gupta, Bhavuk Singhal et al.
Memory-Efficient Structured Backpropagation for On-Device LLM Fine-Tuning
JuneYoung Park, Yuri Hong, Seongwan Kim et al.
Aggregate vs. Personalized Judges in Business Idea Evaluation: Evidence from Expert Disagreement
Wataru Hirota, Tomoki Taniguchi, Tomoko Ohkuma et al.
When Good OCR Is Not Enough: Benchmarking OCR Robustness for Retrieval-Augmented Generation
Lin Sun, Wangdexian, Jingang Huang et al.
Enhancing Job Evaluation with Data Augmentation and Text Classification
Samaneh Jalilian, Niels van Weeren, Mohammad Shokri et al.
Unleashing Low-Bit Inference on Ascend NPUs: A Comprehensive Evaluation of HiFloat Formats
Pengxiang Zhao, Hui-Ling Zhen, Xing Li et al.
EfficientTool: A Cost-Effective Aligning Framework for Tool-Conditioned Agents in SME Scenarios
Yuanqi Mu, Bingfeng.Pi, Defei Xia et al.
Enhancing Online Recruitment with Category-Aware MoE and LLM-based Data Augmentation
Minping Chen, Bing Xu, Zulong Chen et al.
From Relevance to Authority: Authority-aware Generative Retrieval in Web Search Engines
Sunkyung Lee, Jihye Back, Donghyeon Jeon et al.
Think Like You Execute: Verifiable Chain of Thought from Program Traces
Shailja Thakur, Vaibhav Saxena, Rohan Kulkarni et al.
LEAP: Layer-wise Exit-Aware Pretraining for Efficient Transformer Inference
Shashank Kapadia, Deep Narayan Mishra, Sujal Reddy Alugubelli et al.
MobileLLM-Flash: Latency-Guided On-Device LLM Design for Industry Scale Deployment
Hanxian Huang, Igor Fedorov, Andrey Gromov et al.
Evidence-Driven Reasoning for Industrial Maintenance Using Heterogeneous Data
Fearghal O’Donncha, Nianjun Zhou, Natalia Martinez et al.
IndustryAssetEQA: A Neurosymbolic Operational Intelligence System for Embodied Question Answering in Industrial Asset Maintenance
Chathurangi Shyalika, Dhaval C Patel, Amit Sheth
AIDA-SEAT: Towards Reliable AI Doctor Assistant via State-Evaluation-Action Tree Enhanced LLMs in Online Hospital
Lianxin Sun, Xiaoying Ying, Guangya Yu et al.
ClinDet-Bench: Beyond Abstention, Evaluating Judgment Determinability of LLMs in Clinical Decision-Making
Yusuke Watanabe, Yohei Kobashi, Takeshi Kojima et al.
ColorBrowserAgent: Complex Long-Horizon Browser Agent with Adaptive Knowledge Evolution
Jihong Wang, Jiamu Zhou, Weiming Zhang et al.
SAJA: A Simple Approach to Judge Alignment for LLM-as-a-Judge
Sneha Kola, Pankaj Kumar Sharma, Soumyadeep Dey et al.
DuIVRS-2: An LLM-based Interactive Voice Response System for Large-scale POI Attribute Acquisition
Le Zhang, Shengming Zhang, Rui Zha et al.
A Unified Framework for Modeling Heterogeneous Financial Data via Dual-Granularity Prompting
Yu Lei, Zixuan Wang, Yiqing Feng et al.
Towards Faithful Industrial RAG: A Reinforced Co-adaptation Framework for Advertising QA
Wenwei Li, Ming Xu, Tianle Xia et al.
Grounded Multimodal In-Context Learning for Product Weight Estimation at Scale in E-commerce
Bhavuk Singhal, Arsh Keshari, Ravindra Kumar Yadav