9 papers
SWE-Stream: Scaling Executable Training Data for SWE Agents via Progressive Construction and Elastic Streaming
Chengyang Liu, Wen Yang, Shifeng Chen +5
Software engineering agents have advanced rapidly, but scaling their training remains constrained by the limited availability of high-quality executable tasks. Development historie…
LAVE: Latent Visual Evidence-Enhanced Planning for Video Tool-use Agents
Zijian Wang, Junnan Zhu, Rongzhen Li +7
Long-video understanding requires models to efficiently acquire and reuse sparse visual evidence from long and redundant video streams. Recent video tool-use agents address this ch…
ReTool-Video: Recursive Tool-Using Video Agents with Meta-Augmented Tool Grounding
Xiao Liu, Nayu Liu, Junnan Zhu +6
Video understanding requires active evidence seeking, motivating tool-augmented video agents for temporal reasoning, cross-modal understanding, and complex question answering. Exis…
TRACER: Verifiable Generative Provenance for Multimodal Tool-Using Agents
Bihui Yu, Caijun Jia, Jing Chi +6
Multimodal large language models increasingly solve vision-centric tasks by calling external tools for visual inspection, OCR, retrieval, calculation, and multi-step reasoning. Cur…
LaTER: Efficient Test-Time Reasoning via Latent Exploration and Explicit Verification
Xuan Li, Yining Wang, Yuchen Liu +7
Chain-of-thought (CoT) reasoning improves large language models (LLMs) on difficult tasks, but it also makes inference expensive because every intermediate step must be generated a…
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…
BayesRAG: Probabilistic Mutual Evidence Corroboration for Multimodal Retrieval-Augmented Generation
Xuan Li, Yining Wang, Haocai Luo +6
Retrieval-Augmented Generation (RAG) has become a pivotal paradigm for Large Language Models (LLMs), yet current approaches struggle with visually rich documents by treating text a…