How Large‑Model Research Is Shifting: Insights from 120 Top Papers

The article reveals that large‑model research has moved from sheer scale to deeper capabilities and multimodal integration, highlighting ten hot directions and summarizing 120 recent top‑conference papers—including Spec‑VLA, Mobile‑O, OccTENS, and latent‑CoT studies—while offering free access to the full collection.

3D occupancy modelingMultimodal AIcausal reasoning

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How Large‑Model Research Is Shifting: Insights from 120 Top Papers

Architects' Tech Alliance

Mar 1, 2025 · Artificial Intelligence

Decoding DeepSeek: A Four‑Tier Capability Framework for Multimodal AI

The article outlines DeepSeek's four‑level capability hierarchy—basic multimodal data fusion and dynamic governance, intermediate domain modeling with causal reasoning and multi‑objective optimization, advanced complex system modeling with digital twins and multi‑agent coordination, and ultimate autonomous evolution features such as concept‑space exploration and self‑programming.

Artificial IntelligenceDeepSeekDigital Twin

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Decoding DeepSeek: A Four‑Tier Capability Framework for Multimodal AI

Model Perspective

Sep 12, 2022 · Fundamentals

Unlocking Causal Reasoning: A Beginner’s Guide to Graphical Models

This article introduces causal graphical models as a language for reasoning about cause‑and‑effect, explains key concepts such as conditional independence, colliders, back‑door paths, confounding and selection bias, and shows how to identify and adjust for bias using simple visual examples.

causal inferencecausal reasoningconfounding

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Unlocking Causal Reasoning: A Beginner’s Guide to Graphical Models

DataFunTalk

Nov 25, 2020 · Artificial Intelligence

Baidu Event Graph: Technology, Construction, and Applications

This article presents Baidu's large‑scale event graph technology, detailing its concepts, construction pipeline, detection, representation, extraction methods, causal relation mining, and real‑world applications such as hotspot discovery, event tracing, resource linking, and causal reasoning, while outlining future research directions.

AIBaiduInformation Extraction

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Baidu Event Graph: Technology, Construction, and Applications

DataFunTalk

Feb 20, 2019 · Artificial Intelligence

Recommendation Reasoning and Its Path Toward Future AI

This article explores why recommendation systems need reasoning, how recommendation reasoning connects to future strong AI, discusses explainability, causal inference, graph-based reasoning, and the philosophical underpinnings of AI, while also reflecting on practical examples from Hulu's recommendation platform.

Future AIRecommendation Systemscausal reasoning

0 likes · 25 min read

Recommendation Reasoning and Its Path Toward Future AI