Papers
Know What You See: Grounded localization of product components
Manan Soni, Abinesh Kanagarajan, Shyam Mohan
Harmonizing Dense and Sparse Signals in Multi-turn RL: Dual-Horizon Credit Assignment for Industrial Sales Agents
Haojin Yang, Ai Jian, Yiwei Wang et al.
Hemolix.TabGen: Optimized Table Generation from Documents
Gyanendra Shrestha, Todor Ivanov, Karthik Vemireddy et al.
EVE: A Domain-Specific LLM Framework for Earth Intelligence
Àlex R. Atrio, Antonio Lopez, Jino Rohit et al.
Decoding Text Spans for Efficient and Accurate Named-Entity Recognition
Andrea Maracani, Savas Ozkan, Junyi Zhu et al.
Actionable Interpretability for Churn Classification: A Text Bottleneck Model Case Study at a Major Telecom Provider
Adrian Sauter, Vera Neplenbroek, Georgios Vlassopoulos et al.
Diffusion-Pretrained Dense and Contextual Embeddings
Sedigheh Eslami, Maksim Gaiduk, Markus Krimmel et al.
LLM as a Risk Manager: LLM Semantic Filtering for Lead–Lag Trading in Prediction Markets
Sumin Kim, Minjae Kim, Jihoon Kwon et al.
An Efficient Framework for Whole-Page Reranking via Single-Modal Supervision
Zishuai Zhang, Sihao Yu, Xiewenyi et al.
From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction
Egor Maximov, Yulia Kuzkina, Egor Shvetsov et al.
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.