output
20092026
most citedConditional Random Fields as Recurrent Neural Networks

2.4k citations

540 papers

cs.HC2026

OmegaUse-SOP: SOP Engineering for Professional Computer Use from Human Demonstrations

Yixiong Xiao, Lang An, Hucheng Yang +9

Large language models (LLMs) are increasingly evolving from conversational assistants into agents capable of operating external digital environments. Graphical user interface (GUI)…

cs.IR2026

ICEGR: An Intent-Coherent End-to-End Generative Retrieval Framework for E-commerce Search

Jiayi Tuo, Hehan Li, Dongjun Fu +10

Generative Retrieval (GR) is promising for e-commerce search, yet existing methods struggle to maintain query-intent consistency throughout the training pipeline. First, semantic I…

cs.IR2026

Clarify-Then-Search: A Clarification Benchmark for Deep Search with End-to-End Nugget Restoration

Deqiang Huang, Jingbo Zhou, Xinjiang Lu +3

Deep search is brittle on underspecified user queries: missing constraints such as time, location, scope, or definitions can lead to retrieval drift and incomplete answers. We intr…

cs.AI2026

MapAgent: An Industrial-Grade Agentic Framework for City-scale Lane-level Map Generation

Deguo Xia, Zihan Li, Haochen Zhao +6

Lane-level maps are critical infrastructure for autonomous driving and lane-level navigation, yet constructing and maintaining standardized lane networks for hundreds of cities rem…

cs.CL2026

Large Language Model-Powered Query-Driven Event Timeline Summarization in Industrial Search

Mingyue Wang, Xingyu Xie, Hang Yang +5

Understanding how events evolve over time is essential for search engines handling queries about trending news. We present QDET (Query-Driven Event Timeline Summarization), a produ…

cs.CV2026

VaaWIT: Visual-Aware Adaptation of Large Language Models for Multilingual Web Image Translation

Bo Li, Ronghao Chen, Ningyuan Deng +3

Translating text embedded in Web images is crucial for improving content accessibility and cross-lingual information retrieval, particularly within social media and e-commerce doma…