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Data Party THU
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Data Party THU

Official platform of Tsinghua Big Data Research Center, sharing the team's latest research, teaching updates, and big data news.

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Recent Articles

Latest from Data Party THU

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Data Party THU
Data Party THU
Aug 1, 2026 · Artificial Intelligence

10 AI Agent Workflows to Save Teams Hours of Repetitive Work

This article presents ten practical AI agent workflow templates, each with a trigger, context, tools, decision rules, and human checkpoints, showing how to automate tasks like email triage, research briefs, form filling, meeting minutes, support routing, content repurposing, competitor monitoring, invoice reconciliation, CRM updates, and QA review.

AI agentsLLMWorkflow Automation
0 likes · 13 min read
10 AI Agent Workflows to Save Teams Hours of Repetitive Work
Data Party THU
Data Party THU
Jul 31, 2026 · Artificial Intelligence

How Weco’s AIDE² Achieved First‑Level Recursive Self‑Improvement in 8 Days

In an eight‑day, fully automated experiment, Weco’s AIDE² system ran 100 outer‑loop iterations without updating model weights, rewrote its own harness, produced two standout versions (AIDE₄₇ and AIDE₈₅) that outperformed human‑tuned baselines on three unseen benchmarks, and cut reward‑hacking rates from 63% to 34%, providing the first Level‑1 evidence of recursive self‑improvement.

AI agentsAIDERecursive Self-Improvement
0 likes · 13 min read
How Weco’s AIDE² Achieved First‑Level Recursive Self‑Improvement in 8 Days
Data Party THU
Data Party THU
Jul 31, 2026 · Industry Insights

Why CEOs Must Evolve into Chief Digital Intelligence Officers in the AI Era

The article argues that AI has become a national strategic priority and a mandatory driver of enterprise transformation, outlining the shift from digitalization to digital intelligence, the anxieties CEOs face, and a seven‑point framework for leaders to become effective chief digital intelligence officers.

AIAI AdoptionAI Strategy
0 likes · 9 min read
Why CEOs Must Evolve into Chief Digital Intelligence Officers in the AI Era
Data Party THU
Data Party THU
Jul 30, 2026 · Artificial Intelligence

How Code-Structure-Aware Methods Strengthen Large Language Models for Programming

The UC Berkeley 2025 PhD thesis by Linyuan Gong demonstrates that large language models for code must learn program structure—legal positions, complete units, and semantic constraints—through a series of code‑structure‑aware techniques, improving translation, completion, repair, and generation tasks.

ASTcode completioncode large language models
0 likes · 18 min read
How Code-Structure-Aware Methods Strengthen Large Language Models for Programming
Data Party THU
Data Party THU
Jul 29, 2026 · Artificial Intelligence

Survey of Lifelong Visual Representations: Continual Self‑Supervised Learning (CSSL)

This survey reviews continual self‑supervised learning (CSSL) for vision models, explaining why self‑supervised objectives better resist forgetting, outlining evaluation protocols, categorizing six CSSL method families, and discussing challenges such as unified benchmarks, large‑scale models, and multimodal drift.

CSSLContinual LearningMachine Learning
0 likes · 16 min read
Survey of Lifelong Visual Representations: Continual Self‑Supervised Learning (CSSL)
Data Party THU
Data Party THU
Jul 28, 2026 · Artificial Intelligence

Can AI with Pre‑1905 Knowledge Become the Next Einstein? DeepMind Examines the Missing Step

The article reviews DeepMind’s “LLMs can’t jump” paper, arguing that even if large language models are fed all scientific knowledge up to 1905, they still cannot recreate Einstein’s breakthrough because they lack the abductive jump from physical intuition to new axioms, a capability that requires interactive world models and physical priors.

Abductive ReasoningLarge Language ModelsPhysics
0 likes · 8 min read
Can AI with Pre‑1905 Knowledge Become the Next Einstein? DeepMind Examines the Missing Step
Data Party THU
Data Party THU
Jul 28, 2026 · Artificial Intelligence

The Three Paradoxes Blocking Mature AI Agents: Memory, Reasoning, and Self‑Evolution

The article reviews recent AI agent research, exposing three structural paradoxes—memory, reasoning, and evolution—each illustrated with concrete systems, benchmarks, and safety studies, and argues that only coordinated progress across all three dimensions can yield truly mature, self‑improving agents.

AI agentsHarness engineeringMemory Management
0 likes · 16 min read
The Three Paradoxes Blocking Mature AI Agents: Memory, Reasoning, and Self‑Evolution
Data Party THU
Data Party THU
Jul 27, 2026 · Artificial Intelligence

How Shared Embodied Intelligence Redefines Human‑Robot Collaboration

Recent research introduces the Shared Embodied Intelligence framework, integrating a biomechanical human model with robot hardware and control systems to co‑optimize design, enabling the ergoCub humanoid robot to adapt its motions in real time for safer, more efficient human‑robot collaboration, as demonstrated in load‑lifting and disturbance‑rejection experiments.

Embodied Intelligencebiomechanical modelingco-design
0 likes · 7 min read
How Shared Embodied Intelligence Redefines Human‑Robot Collaboration
Data Party THU
Data Party THU
Jul 26, 2026 · Artificial Intelligence

VideoChat3: Open-Source Full-Stack Video Understanding Model Linking Perception, Understanding, and Interaction

VideoChat3 is a 4‑billion‑parameter multimodal large model that unifies short‑video, long‑video, and streaming video understanding through a native spatiotemporal encoder, adaptive resolution budgeting, and four‑stage training, achieving competitive accuracy while dramatically reducing visual token count and inference cost.

Adaptive ResolutionI3D-ViTOpen Source
0 likes · 15 min read
VideoChat3: Open-Source Full-Stack Video Understanding Model Linking Perception, Understanding, and Interaction