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From the 1 of 18 linked papers with an AI index.

collaborators

18 papers

cs.CL2026

DocAtlas: Long-Document Understanding as Mutable-State Interaction

Hongchen Wei, Yuanzhe Wang, Bei Liu +8

Long-document understanding requires models to find and combine evidence across many pages, layouts, tables, figures, and charts. Existing retrieval-augmented systems usually selec…

cs.CL2026

XL-DocBench: Benchmarking Evidence-Grounded Extra-Long Document Understanding

Hongchen Wei, Yuanzhe Wang, Bei Liu +9

Real-world document tasks often ask professionals to answer questions from annual reports, regulations, clinical guidelines, and technical manuals that span hundreds or thousands o…

cs.SE2026

RESOURCE2SKILL: Distilling Executable Agent Skills from Human-Created Multimodal Resources

Yijia Fan, Zonglin Di, Zimo Wen +8

The paper introduces RESOURCE2SKILL, a framework that converts multimodal human-created resources such as tutorial videos, code repositories, and articles into executable skills or…

cs.CV2026

A Comprehensive Ecosystem for Open-Domain Customized Video Generation

Jingxu Zhang, Yuqian Hong, Daneul Kim +6

Recent progress in video generation has shown impressive visual synthesis capabilities. However, open-domain customized video generation remains limited by the lack of large-scale,…

cs.AI2026

SkillOpt: Executive Strategy for Self-Evolving Agent Skills

Yifan Yang, Ziyang Gong, Weiquan Huang +12

Agent skills today are hand-crafted, generated one-shot, or evolved through loosely controlled self-revision, none of which behaves like a deep-learning optimizer for the skill, an…

cs.AI2026

From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills

Zisu Huang, Jingwen Xu, Yifan Yang +13

Language agents increasingly improve by reusing \emph{skills} -- structured procedural artifacts distilled from past experience. In particular, \emph{domain-level} and \emph{model-…