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PaperAgent

Apr 30, 2026 · Artificial Intelligence

How Agentic AI is Redefining World Modeling

The article reviews the paper "Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond", introducing a two‑axis framework (capability levels L1‑L3 and law domains) to map diverse world‑modeling systems, highlighting that most current systems stall at L1, that explicit law encoding is crucial for long‑term stability, and that L3 represents the ultimate, self‑evolving model.

AI AgentsAI researchSimulation

1 likes · 6 min read

How Agentic AI is Redefining World Modeling

PaperAgent

Apr 29, 2026 · Artificial Intelligence

Skill‑Driven Reasoning Cuts Tokens by Up to 59% While Boosting Accuracy

The article introduces the TRS (Thinking with Reasoning Skills) framework, which distills historical LLM reasoning traces into reusable skill cards, enabling offline skill‑base construction and online retrieval that dramatically reduces token consumption (6‑59%) and often improves accuracy on math and coding tasks.

Inference OptimizationReasoning SkillsTRS

0 likes · 13 min read

Skill‑Driven Reasoning Cuts Tokens by Up to 59% While Boosting Accuracy

PaperAgent

Apr 28, 2026 · Artificial Intelligence

MiniCPM‑o 4.5 Achieves Full‑Duplex Multimodal AI That DeepSeek V4 Missed

MiniCPM‑o 4.5 introduces the world’s first end‑to‑end full‑duplex multimodal 9‑billion‑parameter model, powered by the Omni‑Flow framework, running on a single consumer‑grade GPU with 12 GB memory, and delivers benchmark results that match or surpass Gemini 2.5 Flash while offering open‑source demos, APIs, and a Windows/macOS installer.

AIMiniCPM-oMultimodal

0 likes · 13 min read

MiniCPM‑o 4.5 Achieves Full‑Duplex Multimodal AI That DeepSeek V4 Missed

PaperAgent

Apr 27, 2026 · Artificial Intelligence

A Comprehensive Review of Modern LLM Agent Memory Frameworks

The article surveys recent LLM‑based agent memory research, presenting a unified framework that breaks memory systems into four components, detailing their design choices, experimental evaluation on LOCOMO and LONGMEMEVAL, key findings, and a new low‑token SOTA architecture.

Agent MemoryLLMMemory Management

0 likes · 8 min read

A Comprehensive Review of Modern LLM Agent Memory Frameworks

PaperAgent

Apr 26, 2026 · Artificial Intelligence

ICLR 2026 Outstanding Papers Reveal the Real Test for LLMs

The ICLR 2026 Outstanding Paper awards spotlight two studies—one proving Transformers are mathematically succinct and another showing that all major LLMs lose about 39% performance in multi‑turn conversations, exposing a reliability gap missed by single‑turn benchmarks.

AI benchmarksICLR 2026LLM evaluation

0 likes · 7 min read

ICLR 2026 Outstanding Papers Reveal the Real Test for LLMs

PaperAgent

Apr 25, 2026 · Artificial Intelligence

86K‑Star Repo Turns Karpathy’s Coding Wisdom into Practical AI‑Coding Rules

The article shares four concrete principles distilled from Andrej Karpathy’s experience—captured in the 86.1k‑star "andrej‑karpathy‑skills" repository—to help developers steer large language models toward reliable, concise, and goal‑driven code changes, with installation tips for Claude Code and other AI assistants.

AI codingClaude CodeKarpathy

0 likes · 7 min read

86K‑Star Repo Turns Karpathy’s Coding Wisdom into Practical AI‑Coding Rules

PaperAgent

Apr 24, 2026 · Artificial Intelligence

DeepSeek‑V4 Open‑Sources Its Million‑Token Architecture and Calls Out Claude Opus 4.6

DeepSeek‑V4’s open‑source report reveals a hybrid CSA/HCA attention design, manifold‑constrained residuals and the Muon optimizer that cut per‑token FLOPs to 27 % and KV‑Cache to 10 % at 1 M tokens, while benchmark results show it outperforms Claude Opus 4.6 on most tasks yet still lags on complex instruction following and multi‑turn dialogue.

AI ArchitectureClaude OpusDeepSeek V4

0 likes · 11 min read

DeepSeek‑V4 Open‑Sources Its Million‑Token Architecture and Calls Out Claude Opus 4.6

PaperAgent

Apr 24, 2026 · Artificial Intelligence

Agent Skills Practical Guide: From Concept to Actionable AI Agents

The article explains Anthropic’s 2025 Agent Skills standard, how it enables AI to perform actions such as database queries and API calls, and provides a detailed guide covering its definition, modular design, industry adoption, and practical usage scenarios.

AI AgentsAgent SkillsAnthropic

0 likes · 3 min read

Agent Skills Practical Guide: From Concept to Actionable AI Agents

PaperAgent

Apr 23, 2026 · Artificial Intelligence

Stop RAG, Navigate Enterprise Knowledge Directly with CORPUS2SKILL

The article critiques traditional RAG’s blind spots, introduces CORPUS2SKILL’s offline‑compile, online‑navigate two‑stage architecture that builds a hierarchical topic tree and progressive‑disclosure skill files, and shows through WixQA benchmarks that this approach outperforms dense retrieval and Agentic RAG on F1, factuality and recall while highlighting cost and hierarchy quality trade‑offs.

Hierarchical ClusteringRAGagentic AI

0 likes · 7 min read

Stop RAG, Navigate Enterprise Knowledge Directly with CORPUS2SKILL

PaperAgent

Apr 22, 2026 · Artificial Intelligence

How SkillClaw Enables Collective Evolution of Agent Skills in Real-World Use

SkillClaw introduces a centralized evolution framework that transforms user interactions into structured evidence, allowing LLM agents to refine, create, or skip skills based on aggregated success and failure patterns, with nightly validation ensuring only proven improvements are deployed, resulting in consistent performance gains across diverse tasks.

AI workflowLLM agentsSkill Evolution

0 likes · 13 min read

How SkillClaw Enables Collective Evolution of Agent Skills in Real-World Use