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From the 1 of 5 linked papers with an AI index.

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5 papers

cs.AI2026

OSReward: Instituting Standardized Evaluation for Cross-Platform Computer-Use Reward Models

Qiushi Sun, Kanzhi Cheng, Yian Wang +20

The paper introduces OSReward, a benchmark for evaluating vision-language model judges that assess computer-using agent trajectories, and presents open reward models (OS‑Shepherd)…

cs.CL2026

OdysseyArena: Benchmarking Large Language Models For Long-Horizon, Active and Inductive Interactions

Hang Yan, Fangzhi Xu, Qiushi Sun +14

The rapid advancement of Large Language Models (LLMs) has catalyzed the development of autonomous agents capable of navigating complex environments. However, existing evaluations p…

cs.AI2026

JanusCoder: Towards a Foundational Visual-Programmatic Interface for Code Intelligence

Qiushi Sun, Jingyang Gong, Yang Liu +6

The scope of neural code intelligence is rapidly expanding beyond text-based source code to encompass the rich visual outputs that programs generate. This visual dimension is criti…

cs.LG2026

Intern-S1-Pro: Scientific Multimodal Foundation Model at Trillion Scale

Yicheng Zou, Dongsheng Zhu, Lin Zhu +174

We introduce Intern-S1-Pro, the first one-trillion-parameter scientific multimodal foundation model. Scaling to this unprecedented size, the model delivers a comprehensive enhancem…

cs.CL2025

LLaMAX2: Your Translation-Enhanced Model also Performs Well in Reasoning

Changjiang Gao, Zixian Huang, Jingyang Gong +3

General Large Language Models (LLMs) excel in reasoning, but those enhanced for translation struggle with reasoning tasks. To address this, we propose a novel translationenhanced r…