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May 20, 2026 · Artificial Intelligence

AI‑Powered Research Workflow: When to Trust the Tools and When to Supervise

The article surveys AI‑assisted research across the full lifecycle—creation, writing, validation, and dissemination—detailing the capabilities of prompt engineering, retrieval‑augmented generation, training‑free agents and hybrid methods, reporting benchmark numbers, failure modes, and governance challenges that dictate when human oversight remains essential.

AI research automationLarge Language ModelsPrompt engineering

0 likes · 17 min read

AI‑Powered Research Workflow: When to Trust the Tools and When to Supervise

Machine Heart

Apr 7, 2026 · Artificial Intelligence

A Comprehensive Survey of Tactile‑Based Multimodal Fusion in Embodied Intelligence

This survey reviews state‑of‑the‑art research up to Q1 2026 on integrating tactile sensing with vision and language for embodied AI, presenting a four‑stage fusion pipeline, a hierarchical taxonomy of datasets, methods, sensors, and highlighting current evaluation challenges and future directions.

DatasetsEmbodied AIRobotics

0 likes · 13 min read

A Comprehensive Survey of Tactile‑Based Multimodal Fusion in Embodied Intelligence

SuanNi

Mar 4, 2026 · Artificial Intelligence

How Skills Empower Autonomous Agents: Architecture, Design Patterns, and Security Risks

The article provides an in‑depth analysis of the Skills mechanism that gives large language model agents reusable procedural memory, detailing its core components, seven design patterns, real‑world security threats, evaluation benchmarks, and the challenges of safely scaling autonomous AI systems.

AI agentsDesign PatternsSkills architecture

0 likes · 14 min read

How Skills Empower Autonomous Agents: Architecture, Design Patterns, and Security Risks

PaperAgent

Dec 1, 2025 · Artificial Intelligence

How Deep Research Turns LLMs into Autonomous AI Scientists

This article surveys the emerging Deep Research (DR) paradigm that upgrades large language models into research agents capable of autonomous planning, multi‑source evidence gathering, memory management, and verifiable long‑form report generation, outlining its stages, core components, training pipeline, and evaluation benchmarks.

AI agentsAI research automationDeep Research

0 likes · 6 min read

How Deep Research Turns LLMs into Autonomous AI Scientists

AI Frontier Lectures

Mar 25, 2025 · Artificial Intelligence

What Drives Alignment in Multimodal Large Language Models? A Comprehensive Review

This article provides an in‑depth review of alignment algorithms for multimodal large language models, covering application scenarios, dataset construction methods, evaluation benchmarks, current challenges, and future research directions, while summarizing contributions from leading academic institutions.

AI researchMultimodal LLMalignment algorithms

0 likes · 22 min read

What Drives Alignment in Multimodal Large Language Models? A Comprehensive Review

Architect

Mar 24, 2025 · Artificial Intelligence

How Multimodal Alignment Is Shaping the Future of Large Language Models

This article provides a systematic review of recent advances in multimodal alignment for large language models, covering key contributions, application scenarios, dataset construction, evaluation benchmarks, future challenges, and insights from LLM alignment research to guide both academia and industry.

AI SafetyMLLMdataset construction

0 likes · 26 min read

How Multimodal Alignment Is Shaping the Future of Large Language Models

DataFunSummit

Nov 1, 2024 · Artificial Intelligence

Progress in Multimodal Large Language Models: Background, Architecture, Evolution, Team Work, and Future Outlook

This article reviews recent advances in multimodal large language models, covering their background, architectural components, training strategies, application scenarios, evaluation benchmarks, team research on hallucination mitigation and long‑video understanding, and outlines promising future research directions.

Model architectureMultimodal LLMevaluation benchmarks

0 likes · 15 min read

Progress in Multimodal Large Language Models: Background, Architecture, Evolution, Team Work, and Future Outlook