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From the 1 of 8 linked papers with an AI index.

collaborators

8 papers

cs.LG2026

Flux-OPD: On-Policy Distillation with Evolving Contexts

Yuran Wang, Zekun Wang, Bohan Zeng +10

The paper introduces Flux-OPD, a method for training large language models by distilling knowledge from teachers while using evolving contexts as supervision, and stabilizes the pr…

cs.CV2026

OpenWorldLib: A Unified Codebase and Definition of Advanced World Models

DataFlow Team, Bohan Zeng, Daili Hua +39

World models have garnered significant attention as a promising research direction in artificial intelligence, yet a clear and unified definition remains lacking. In this paper, we…

cs.CL2026

LatentOmni: Rethinking Omni-Modal Understanding via Unified Audio-Visual Latent Reasoning

Yifan Dai, Zhenhua Wu, Bohan Zeng +18

Joint audio-visual reasoning is essential for omnimodal understanding, yet current multimodal large language models (MLLMs) still struggle when reasoning requires fine-grained evid…

cs.CV2026

Artifact-Bench: Evaluating MLLMs on Detecting and Assessing the Artifacts of AI-Generated Videos

Yuqi Tang, Yang Shi, Zhuoran Zhang +21

Recent video generative models have greatly improved the realism of AI-generated videos, yet their outputs still exhibit artifacts such as temporal inconsistencies, structural dist…

cs.CL2025

Text2VectorSQL: Towards a Unified Interface for Vector Search and SQL Queries

Zhengren Wang, Dongwen Yao, Bozhou Li +7

The proliferation of unstructured data poses a fundamental challenge to traditional database interfaces. While Text-to-SQL has democratized access to structured data, it remains in…

cs.CV2025

SynthVLM: Towards High-Quality and Efficient Synthesis of Image-Caption Datasets for Vision-Language Models

Zheng Liu, Hao Liang, Bozhou Li +5

Vision-Language Models (VLMs) have recently emerged, demonstrating remarkable vision-understanding capabilities. However, training these models requires large-scale datasets, which…