Papers
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
Progressive Fine-Tuning for Cost-Effective Structured Attribute Generation in E-commerce
Lakshman Kolasani, Fatemeh Taheri Dezaki
Small Agents, Big Gains: Journey-Aware and Critic-Guided Simulation for Long-Horizon Shopping Dialogues
Qing Ping, Changyou Chen, Binxuan Huang
From Short Video to Clickable Search: RLVR-Enabled Listwise Query Suggestion with Retrieval-Augmented Context
Mingkai Tian, Xuye, Long Meng et al.
AgenticQwen: Training Small Agentic Language Models with Dual Data Flywheels for Industrial-Scale Tool Use
Yuanjie Lyu, Chengyu Wang, Haonan Zheng et al.
Search-P1: Path-Centric Reward Shaping for Stable and Efficient Agentic RAG Training
Tianle Xia, Ming Xu, Lingxiang Hu et al.
NEST: Nested Evidence Survival for Retrieval
Akshay Verma, Siddharth Pillai, Prateek Sircar et al.
Teaching LLM to be Persuasive: Reward-Enhanced Policy Optimization for Alignment from Heterogeneous Rewards
Xia Zeng, Yihan Chen, Luhui Liu et al.
Learning from Textual Radiology Reports: A Benchmark Dataset for Coronary CT Angiography
Sudharshan Balaji, Zhiyu Liu, Zhengyuan Jiang et al.
UNIVID: Unified Vision-Language Model for Video Moderation
Kejuan Yang, Yizhuo Zhang, Mingyuan Du et al.
Optimizing Retrieval-Augmented Generation for E-Commerce How-To Assistance
Gilad Fuchs, Leonid Ekimov, Fei Dong et al.
Reason-Code: Reliable Code Generation via Test-Driven Monte Carlo Tree Search
Zixu Li, Zhiqi Peng
Agent-Ops: A Multi-Agent Orchestration Framework for End-to-End SOP Automation in E-Commerce Operations
Apoorva Singh, Sanjay Agrawal, Sayanta Adhikari et al.
Pre-Deployment Advertisement Ranking under Data Scarcity via Context-Aware Criteria Generation with VLMs
Kyungho Kim, Yeonje Choi, Gyurim Hwang et al.
GeoGround: Uncertainty-Weighted Multi-Task Learning for Geo-Alignment and Address Defect Detection
Srinivas Virinchi, Aman Gulati, Anoop Saladi
DeepResearch Retail: Benchmarking Tool-Augmented Deep Research in the E-Commerce Domain
Rafael Ferreira, Flavio Di Palo, Huilin Lu et al.