1 citations · 1 across the 6 of their papers we have counts for
7 papers
SkillAlign: Aligning Skill Interfaces for LLM-based Agents
Shuo Ren, Xiaomian Kang, Jiajun Zhang
Language-model agents increasingly rely on skills: reusable procedural knowledge for reasoning, tool use, and interaction. Existing work studies how skills are acquired, retrieved,…
Parser-Oriented Structural Refinement for a Stable Layout Interface in Document Parsing
Fuyuan Liu, Dianyu Yu, He Ren +10
Accurate document parsing requires both robust content recognition and a stable parser interface. In explicit Document Layout Analysis (DLA) pipelines, downstream parsers do not co…
PARL: Position-Aware Relation Learning Network for Document Layout Analysis
Fuyuan Liu, Dianyu Yu, He Ren +10
Document layout analysis aims to detect and categorize structural elements (e.g., titles, tables, figures) in scanned or digital documents. Popular methods often rely on high-quali…
FocalOrder: Focal Preference Optimization for Reading Order Detection
Fuyuan Liu, Dianyu Yu, He Ren +10
Reading order detection is the foundation of document understanding. Most existing methods rely on uniform supervision, implicitly assuming a constant difficulty distribution acros…
From Past To Path: Masked History Learning for Next-Item Prediction in Generative Recommendation
KaiWen Wei, Kejun He, Xiaomian Kang +7
Generative recommendation, which directly generates item identifiers, has emerged as a promising paradigm for recommendation systems. However, its potential is fundamentally constr…
Self-Modifying State Modeling for Simultaneous Machine Translation
Donglei Yu, Xiaomian Kang, Yuchen Liu +2
Simultaneous Machine Translation (SiMT) generates target outputs while receiving stream source inputs and requires a read/write policy to decide whether to wait for the next source…
Dynamic Context Selection for Document-level Neural Machine Translation via Reinforcement Learning
Xiaomian Kang, Yang Zhao, Jiajun Zhang +1
Document-level neural machine translation has yielded attractive improvements. However, majority of existing methods roughly use all context sentences in a fixed scope. They neglec…