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Machine Learning Algorithms & Natural Language Processing

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Latest from Machine Learning Algorithms & Natural Language Processing

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Machine Learning Algorithms & Natural Language Processing

Mar 30, 2026 · Artificial Intelligence

Meituan’s Fully Discrete Multimodal Base (LongCat-Next) Shows All Physical Signals Can Converge to Tokens

LongCat-Next, a 3‑billion‑parameter multimodal model released by Meituan, adopts a pure discrete token‑based architecture (DiNA) and next‑token prediction, outperforming same‑size rivals on OmniDocBench‑EN, CharXivRQ, and matching QwenVL on visual tasks, while avoiding catastrophic forgetting and achieving a SWE‑Bench score of 43.0, as demonstrated through extensive benchmarks, receipt extraction, OCR, audio dialect reasoning, and image generation experiments.

DiNALongCat-NextOmniDocBench

0 likes · 10 min read

Meituan’s Fully Discrete Multimodal Base (LongCat-Next) Shows All Physical Signals Can Converge to Tokens

Machine Learning Algorithms & Natural Language Processing

Mar 30, 2026 · Artificial Intelligence

Is OpenClaw the Early Linux of AI Agents? A Deep Dive into Its Real Challenges

The article analyses OpenClaw’s explosive popularity, argues that its impact stems from engineering integration rather than algorithmic breakthroughs, identifies current bottlenecks such as reliability, long‑task execution, token cost and memory, and outlines future directions involving edge‑cloud collaboration, protocol standardisation and autonomous evolution of agents.

OpenClawagent operating systemedge-cloud collaboration

0 likes · 23 min read

Is OpenClaw the Early Linux of AI Agents? A Deep Dive into Its Real Challenges

Machine Learning Algorithms & Natural Language Processing

Mar 30, 2026 · Artificial Intelligence

Editable AI-Generated Research Figures: Introducing AutoFigure-Edit from Westlake University

The article presents AutoFigure-Edit, an open‑source AI system that turns long‑form scientific text into fully editable SVG figures, solves the uneditable‑image problem of existing AIGC tools, and demonstrates superior performance on the FigureBench benchmark and real‑user studies.

AIAutoFigureSVG

0 likes · 11 min read

Editable AI-Generated Research Figures: Introducing AutoFigure-Edit from Westlake University

Machine Learning Algorithms & Natural Language Processing

Mar 28, 2026 · Artificial Intelligence

A Comprehensive Guide to LLM Post‑Training: From RLHF and GRPO to Agentic RL

This article systematically explains the post‑training pipeline for large language models, covering supervised fine‑tuning, RLHF, PPO, GRPO, RLVR, DPO and emerging Agentic RL, while illustrating each method with analogies, detailed workflows, tables, and recent research findings.

Agentic RLDPOGRPO

0 likes · 24 min read

A Comprehensive Guide to LLM Post‑Training: From RLHF and GRPO to Agentic RL

Machine Learning Algorithms & Natural Language Processing

Mar 28, 2026 · Artificial Intelligence

GigaWorld-Policy Boosts Inference Speed 10× and Success Rate 30%

The newly released GigaWorld-Policy world‑action model replaces traditional video‑prediction‑heavy WAM designs with an action‑centered architecture, achieving a ten‑fold inference speedup, ten‑fold training efficiency gain, and a 30% increase in real‑robot task success rate while reducing memory usage compared with Motus and Cosmos‑Policy.

Action-Centered ArchitectureMultimodal Learninginference optimization

0 likes · 8 min read

GigaWorld-Policy Boosts Inference Speed 10× and Success Rate 30%

Machine Learning Algorithms & Natural Language Processing

Mar 28, 2026 · Artificial Intelligence

Do All Physical Signals Reduce to a Single Discrete Token? LongCat‑Next Explained

LongCat‑Next, Meituan’s new 3‑billion‑parameter foundation model, adopts a pure‑discrete DiNA architecture with next‑token prediction, converting vision, audio and text into unified tokens; it surpasses same‑size multimodal models on OmniDocBench‑EN, CharXivRQ and SWE‑Bench, avoids catastrophic forgetting, and introduces dNaViT, RVQ compression and a dual‑path detokenizer for high‑fidelity generation.

DiNALongCat-NextSWE-Bench

0 likes · 10 min read

Do All Physical Signals Reduce to a Single Discrete Token? LongCat‑Next Explained

Machine Learning Algorithms & Natural Language Processing

Mar 28, 2026 · Artificial Intelligence

Anthropic’s ‘Mythos’ Model Leaked: Claims to Outperform Claude Opus 4.6 Across the Board

A misconfigured CMS exposed internal documents that reveal Anthropic’s new Claude Mythos (codenamed Capybara), a top‑tier model said to surpass Opus 4.6 in coding, reasoning and security tests, while also posing unprecedented network‑attack risks that have kept the company from releasing it.

AI modelAnthropicClaude Mythos

0 likes · 6 min read

Anthropic’s ‘Mythos’ Model Leaked: Claims to Outperform Claude Opus 4.6 Across the Board

Machine Learning Algorithms & Natural Language Processing

Mar 28, 2026 · Artificial Intelligence

Junyang Lin’s 10k‑Word Review: From Reasoning to Agentic Thinking in Large Models

In a detailed post‑departure analysis, Junyang Lin reviews two years of large‑model evolution, explains how o1 and DeepSeek‑R1 highlighted the limits of pure reasoning, and argues that the next breakthrough lies in agentic thinking that integrates environment interaction, tool use, and robust reinforcement‑learning infrastructure.

AI infrastructureagentic thinkinglarge language models

0 likes · 18 min read

Junyang Lin’s 10k‑Word Review: From Reasoning to Agentic Thinking in Large Models

Machine Learning Algorithms & Natural Language Processing

Mar 26, 2026 · Artificial Intelligence

UniOD: A Single Model for Zero‑Training Cross‑Domain Anomaly Detection

UniOD introduces a universal outlier detection model that leverages historical labeled datasets to train one deep graph‑neural‑network‑based model, enabling plug‑and‑play anomaly detection on unseen domains without any retraining, and is backed by theoretical guarantees and extensive cross‑domain experiments.

UniODanomaly detectioncross-domain

0 likes · 10 min read

UniOD: A Single Model for Zero‑Training Cross‑Domain Anomaly Detection

Machine Learning Algorithms & Natural Language Processing

Mar 26, 2026 · Artificial Intelligence

Can Uni‑X Eliminate Multimodal Gradient Conflict with a Pure Autoregressive Design?

The paper reveals that standard shared‑parameter Transformers suffer severe gradient conflict when jointly processing low‑entropy text and high‑entropy visual tokens, and proposes Uni‑X—a two‑end‑separated, middle‑shared autoregressive model that isolates modality‑specific layers, reduces conflict, improves efficiency, and achieves strong results on image generation and editing benchmarks.

Autoregressive ModelGradient ConflictICLR 2026

0 likes · 8 min read

Can Uni‑X Eliminate Multimodal Gradient Conflict with a Pure Autoregressive Design?