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From the 1 of 6 linked papers with an AI index.

collaborators

6 papers

cs.CL2026

ELBench: A Multi-Dimensional Benchmark for Education-Facing Large Language Models

Yilin Jiang, Xiaorong Zhu, Fei Tan +9

Large language models are increasingly deployed in education as tutors, teaching assistants, and content generators. These roles place demands that ordinary question answering does…

cs.RO2026

Native Video-Action Pretraining for Generalizable Robot Control

Qihang Zhang, Lin Li, Luyao Zhang +26

The paper introduces LingBot-VA 2.0, a video-action foundation model designed specifically for robot control, featuring a semantic visual-action tokenizer, causal pretraining, a sp…

cs.CV2026

RepWAM: World Action Modeling with Representation Visual-Action Tokenizers

Junke Wang, Qihang Zhang, Shuai Yang +5

This work presents RepWAM, a representation-centric world action model (WAM) built on representation visual-action tokenizers. Existing WAMs typically inherit reconstruction-orient…

cs.CL2026

Reverse Constitutional AI: A Framework for Controllable Toxic Data Generation via Probability-Clamped RLAIF

Yuan Fang, Yiming Luo, Aimin Zhou +1

Ensuring the safety of large language models (LLMs) requires robust red teaming, yet the systematic synthesis of high-quality toxic data remains under-explored. We propose Reverse…

cs.CV2025

DreamO: A Unified Framework for Image Customization

Chong Mou, Yanze Wu, Wenxu Wu +15

Recently, extensive research on image customization (e.g., identity, subject, style, background, etc.) demonstrates strong customization capabilities in large-scale generative mode…

cs.CV2025

USO: Unified Style and Subject-Driven Generation via Disentangled and Reward Learning

Shaojin Wu, Mengqi Huang, Yufeng Cheng +5

Existing literature typically treats style-driven and subject-driven generation as two disjoint tasks: the former prioritizes stylistic similarity, whereas the latter insists on su…