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推荐 AIPOCH Open-Science 这一开源 AI 研究工作台，帮助新手通过复现论文快速入门 AI 领域，内置论文研究 Agent、灵活模型选择和可审查的执行日志等功能。
Maxime Rivest launched ask.sciencemadereadable.com, a free tool that searches ~200 million scientific study titles and abstracts from OpenAlex by meaning (or exact keywords) and returns plain-text results with no API key required. It offers URL-based queries, filtering options (year, type, open access), a JSON API, and links to a plain-language 'map of science' version of each paper.
Science Made Readable released a free, no-auth MCP server that lets AI agents search ~200 million scientific papers by meaning or keywords, read abstracts, find similar papers, and traverse citations. It integrates with Claude Code, Codex, Claude, ChatGPT, Cursor, and VS Code, offering tools like search_papers and citation_walk at 30 calls per minute.
Lune is a search engine built for scientific AI agents, connecting them to research knowledge and tools to deliver traceable, evidence-backed literature review, experimental design, writing, and peer review workflows.
This paper reviews in-context learning methods for robots, categorizing them into four interface families and analyzing their application across manipulation and navigation tasks.
ScienceBuddy is a free AI workbench for scientific researchers that provides reliable, evidence-based literature reviews and includes over 200 specialized research tools, open-sourced by PhAI Labs.
This paper evaluates literature reviews generated by large language models using short and long context windows, finding that longer contexts improve information incorporation but exacerbate issues like repetition and descriptiveness, necessitating human oversight for academic standards.
The paper introduces a new paradigm for AI-assisted mathematical discovery, where experts define research directions and an AI system automates problem discovery and triage, demonstrated through a combinatorics case study.
A collection of Claude Code skills for academic research workflows, including literature reviews, PhD proposals, and fidelity-first academic slides with vector equations and citations.
Introduces GRASP, a framework that combines LLM planning with graph algorithms to generate high-fidelity related work sections by modeling inter-paper relationships through a two-layer graph structure and Steiner tree pruning.
Feynman is an open-source AI research agent that automates deep arXiv searches, literature review generation, code reproduction, and more. It runs locally, reducing redundant work for researchers.
Claude Science is a tool for early-stage research that automatically retrieves, deduplicates, clusters literature and generates research maps and trend reports, which is very helpful for exploring new fields.
The tweet claims that Claude has a secret 'Research Accelerator' mode using 13 prompts to quickly process research papers into various outputs.
OpenDraft is an open-source tool that uses 19 specialized AI agents in parallel to assist with research paper writing and literature reviews, described as 'Claude Code for research papers'.
This paper evaluates the use of small language models (SLMs) to assist title and abstract screening in systematic reviews of social-physical human-robot interaction (spHRI). While SLMs did not match human performance, they operated locally at high speed and identified additional relevant papers, demonstrating their potential to augment human reviewers for large-scale literature reviews.
This paper reviews the progress in AI for Systems Engineering (AI4SE) and Systems Engineering for AI (SE4AI) over the past decade, identifies five critical research gaps, and provides a human-AI agreement dataset and web explorer for relevance judgments.
A literature review examining LLM-based approaches for automatic scoring of Arabic text, covering short answer grading and essay scoring, with a proposed taxonomy and comparative analysis.
The author introduces Sisyphus Academica, an open-source research companion that evolved from an AI-assisted writing tool into a full research workflow manager, and seeks community feedback on features and development direction.
A tweet sharing AutoSci, a system from Peking University that automates the entire research lifecycle from literature review to rebuttal, with self-improvement between projects.
The open-source AI agent Feynman, through the collaboration of four intelligent agents, compresses PhD-level research processes (including arXiv research, literature review, code verification) into fully automated execution, requiring only a single instruction from the user.