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20212026
most citedKimi K2: Open Agentic Intelligence

14 citations · 17 across the 25 of their papers we have counts for

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Showing 2026Show all

7 papers · 1 filter

cs.CV2026

State-Conditioned Visual Evidence Retrieval for Fine-Grained Perception in Document Vision-Language Models

Mingxu Chai, Chenyu Liu, Ziyu Shen +7

Compared with typical vision-language tasks, document parsing places stronger demands on fine-grained visual perception. Existing vision-language model (VLM)-based parsing approach…

cs.CV2026

Hierarchical Evidence-Driven Reasoning for Long Document Understanding

Junyu Xiong, Yonghui Wang, Rongjian Gu +4

Retrieval-Augmented Generation (RAG) streamlines long-document understanding by leveraging retrieval mechanisms to restrict input images to a highly curated subset. However, existi…

cs.CV2026

CAGE-SGG: Counterfactual Active Graph Evidence for Open-Vocabulary Scene Graph Generation

Suiyang Guang, Chenyu Liu, Ruohan Zhang +1

Open-vocabulary scene graph generation (SGG) aims to describe visual scenes with flexible and fine-grained relation phrases beyond a fixed predicate vocabulary. While recent vision…

cs.CV2026

Prefix-Adaptive Block Diffusion for Efficient Document Recognition

Mingxu Chai, Ziyu Shen, Chenyu Liu +3

Block Diffusion Models (BDMs) support parallel generation, flexible-length output, and KV caching, making them promising for efficient document parsing. However, existing BDMs bind…

cs.CV2026

TDATR: Improving End-to-End Table Recognition via Table Detail-Aware Learning and Cell-Level Visual Alignment

Chunxia Qin, Chenyu Liu, Pengcheng Xia +4

Tables are pervasive in diverse documents, making table recognition (TR) a fundamental task in document analysis. Existing modular TR pipelines separately model table structure and…

cs.CL2026★ 2 cited

Kimi K2.5: Visual Agentic Intelligence

Kimi Team, Tongtong Bai, Yifan Bai +333

We introduce Kimi K2.5, an open-source multimodal agentic model designed to advance general agentic intelligence. K2.5 emphasizes the joint optimization of text and vision so that…

cs.CY2026

AppellateGen: A Benchmark for Appellate Legal Judgment Generation

Hongkun Yang, Lionel Z. Wang, Wei Fan +10

Legal judgment generation is a critical task in legal intelligence. However, existing research in legal judgment generation has predominantly focused on first-instance trials, rely…