activity
20232026
most citedOccDepth: A Depth-Aware Method for 3D Semantic Scene Completion

39 citations · 59 across the 24 of their papers we have counts for

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Showing 2025Show all

8 papers · 1 filter

cs.CL2025

Step-DeepResearch Technical Report

Chen Hu, Haikuo Du, Heng Wang +64

As LLMs shift toward autonomous agents, Deep Research has emerged as a pivotal metric. However, existing academic benchmarks like BrowseComp often fail to meet real-world demands f…

cs.AI2025

SciAgent: A Unified Multi-Agent System for Generalistic Scientific Reasoning

Xuchen Li, Ruitao Wu, Xuanbo Liu +17

Recent advances in large language models have enabled AI systems to achieve expert-level performance on domain-specific scientific tasks, yet these systems remain narrow and handcr…

cs.AI2025

MorphoBench: A Benchmark with Difficulty Adaptive to Model Reasoning

Xukai Wang, Xuanbo Liu, Mingrui Chen +16

With the advancement of powerful large-scale reasoning models, effectively evaluating the reasoning capabilities of these models has become increasingly important. However, existin…

cs.CL2025★ 1 cited

Step-Audio 2 Technical Report

Boyong Wu, Chao Yan, Chen Hu +106

This paper presents Step-Audio 2, an end-to-end multi-modal large language model designed for industry-strength audio understanding and speech conversation. By integrating a latent…

cs.SD2025

Step-Audio-AQAA: a Fully End-to-End Expressive Large Audio Language Model

Ailin Huang, Bingxin Li, Bruce Wang +73

Large Audio-Language Models (LALMs) have significantly advanced intelligent human-computer interaction, yet their reliance on text-based outputs limits their ability to generate na…

cs.LG2025

HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling

Hexiong Yang, Mingrui Chen, Huaibo Huang +4

Inspired by the great success of Masked Language Modeling (MLM) in the natural language domain, the paradigm of self-supervised pre-training and fine-tuning has also achieved remar…

cs.CV2025

Unlocking the Potential of Difficulty Prior in RL-based Multimodal Reasoning

Mingrui Chen, Haogeng Liu, Hao Liang +3

In this work, we investigate how explicitly modeling problem's difficulty prior information shapes the effectiveness of reinforcement learning based fine-tuning for multimodal reas…

cs.CL2025★ 1 cited

Step-Audio: Unified Understanding and Generation in Intelligent Speech Interaction

Ailin Huang, Boyong Wu, Bruce Wang +142

Real-time speech interaction, serving as a fundamental interface for human-machine collaboration, holds immense potential. However, current open-source models face limitations such…