activity
20232026
most citedPDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning

1 citations · 1 across the 7 of their papers we have counts for

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cs.AI2026

PAUSE: A User-Centric Benchmark for Personal AI Assistants in Unified Service Environments

Haoyu Chen, Xirui Shi, Yuyao Wang +2

Personal AI assistants are increasingly deployed as task-oriented, tool-augmented agents that operate within unified service environments to support everyday user activities. In re…

cs.AI2026

WinDOM: Self-Family Distillation for Small-Model GUI Grounding

Chengheng Li-Chen, Zhiqian Zhou, Hao Chen +1

Small (2B) GUI-grounding agents are attractive for on-device deployment, accessibility tooling, and low-cost iteration, but at this scale they face two open recipe questions:…

cs.CL2026

DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence

DeepSeek-AI, Anyi Xu, Bangcai Lin +315

We present a preview version of DeepSeek-V4 series, including two strong Mixture-of-Experts (MoE) language models -- DeepSeek-V4-Pro with 1.6T parameters (49B activated) and DeepSe…

cs.SE2026

Composer 2 Technical Report

Cursor Research, :, Aaron Chan +53

Composer 2 is a specialized model designed for agentic software engineering. The model demonstrates strong long-term planning and coding intelligence while maintaining the ability…

cs.SE2026

Compiling Large Multi-Modal Requirement Documents into Runnable Software Systems: From an Agentic Test-Driven Perspective

Weiyu Kong, Yun Lin, Xiwen Teoh +5

Large Language Models (LLMs) have significantly improved programming efficiency by translating natural language into code, yet their performance deteriorates when handling large-sc…