activity
20172026
most citedA Nested Attention Neural Hybrid Model for Grammatical Error Correction

19 citations · 20 across the 7 of their papers we have counts for

collaborators

7 papers

cs.GR2026

Seed3D 2.0: Advancing High-Fidelity Simulation-Ready 3D Content Generation

Diandian Gu, Jing Lin, Gaohong Liu +25

We present Seed3D 2.0, an advanced 3D content generation system built on Seed3D 1.0, with substantial improvements across generation fidelity, simulation-ready capabilities, and ap…

eess.IV2025

Seed3D 1.0: From Images to High-Fidelity Simulation-Ready 3D Assets

Jiashi Feng, Xiu Li, Jing Lin +25

Developing embodied AI agents requires scalable training environments that balance content diversity with physics accuracy. World simulators provide such environments but face dist…

cs.LG2025

Robust LLM Training Infrastructure at ByteDance

Borui Wan, Gaohong Liu, Zuquan Song +32

The training scale of large language models (LLMs) has reached tens of thousands of GPUs and is still continuously expanding, enabling faster learning of larger models. Accompanyin…

cs.DC2025

Mycroft: Tracing Dependencies in Collective Communication Towards Reliable LLM Training

Yangtao Deng, Lei Zhang, Qinlong Wang +13

Reliability is essential for ensuring efficiency in LLM training. However, many real-world reliability issues remain difficult to resolve, resulting in wasted resources and degrade…

cs.CL2025★ 1 cited

Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning

ByteDance Seed, :, Jiaze Chen +267

We introduce Seed1.5-Thinking, capable of reasoning through thinking before responding, resulting in improved performance on a wide range of benchmarks. Seed1.5-Thinking achieves 8…

cs.DC2023

DLRover-RM: Resource Optimization for Deep Recommendation Models Training in the Cloud

Qinlong Wang, Tingfeng Lan, Yinghao Tang +8

Deep learning recommendation models (DLRM) rely on large embedding tables to manage categorical sparse features. Expanding such embedding tables can significantly enhance model per…

cs.CL2017★ 19 cited

A Nested Attention Neural Hybrid Model for Grammatical Error Correction

Jianshu Ji, Qinlong Wang, Kristina Toutanova +3

Grammatical error correction (GEC) systems strive to correct both global errors in word order and usage, and local errors in spelling and inflection. Further developing upon recent…