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2,348 notes and 295 topics.
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2,348 notes, page 13 of 98
AutoSR: Automatic Symbolic Regression by Searching Research States
The authors introduce AutoSR, a fully automated system that searches for persistent scientific investigations instead of isolated equations in symbolic regression. Unlike traditional methods, AutoSR preserves the…
Bounded Semantic Planning and Deterministic Compilation for Reliable Enterprise Text-to-SQL
A study presents an alternative approach for text-to-SQL generation in enterprise schemas where SQL may execute successfully but with incorrect relationship roles or aggregation grains. The new method, Semantic Path…
Browse articles
The article titled 'MultiMed-RAG: leveraging multi-source knowledge and agent collaboration for medical tasks' discusses a new system called CliniSense, which uses artificial intelligence to evaluate clinical skills…
Chronocooked: A Benchmark for Implicit Interval Timing in Reinforcement Learning Agents
The paper introduces Chronocooked, a benchmark suite for studying how reinforcement learning (RL) agents make decisions over time. It's inspired by Overcooked and includes cooking scenarios that require temporal…
ClawGym II: Exploring Black-Box RL on Agent Harness
Researchers present a new framework for reinforcement learning (RL) using complex agent harnesses. This framework is designed to optimize RL more stably and efficiently for long-horizon tasks. The researchers' method…
CliniSense AI for automated clinical skills assessment with real-time feedback
Two articles discuss the development of AI systems for clinical skills assessment and a virtual trial framework for generating clinical evidence in orthopedics.
Don't Drop the BATON: Long-Horizon Robot Manipulation via Agentic Subtask Exploration and Transition-aware Memory
The paper introduces a new method called BATON for long-horizon robot manipulation tasks. This method addresses two main issues with previous methods: high exploration cost and lack of representation of transitions…
DSA: Very large online platforms and search engines
The Digital Services Act (DSA) applies to very large online platforms and search engines with over 45 million users in the EU. It outlines user rights and what can be done if these platforms or search engines act…
Einstein the musician, AI prophets and more: Books in brief
A summary of books that cover various topics such as Einstein's musical side, the potential of AI in scientific tools, undocumented migration not leading to increased crime rates, and tips for successful science…
GoalEvolve: From Handcrafted Algorithm Priors to Goal-Driven Evolution of Physical Design Algorithms
A new framework called GoalEvolve is presented that aims to improve physical design algorithms for electronic circuits. The framework uses a goal-driven approach to identify and address unmet requirements in the…
HAF: Adapting Generalist VLAs to Humanoid Whole-Body Loco-manipulation via Hierarchical Action Flow and Spectral Latent RL
The paper introduces a framework called HAF (Humanoid Adaptation Framework) to adapt generalist VLA models for humanoid whole-body locomotion tasks. The framework is divided into two parts: HAF-VLA and HAF-Steer…
Histological aging signatures for monitoring tissue-specific aging and disease
Researchers have analyzed histopathological images of 40 different tissues and combined them with transcriptomic data from blood. They developed aging clocks based on the morphological changes associated with aging in…
How the story of life and our planet unfolded — together
This article from Nature discusses a book about the evolution of life and our planet, provides a commentary on heatwaves affecting health, reviews books on AI as scientific tools, and offers a brief list of books.
How to make your science business succeed when you’re a female founder
This article provides advice for female founders of science businesses on how to succeed in their ventures.
Model Hypnosis: Strong control of AI via additive subliminal effects
Researchers found that AI models can be manipulated through a phenomenon they call 'model hypnosis', where seemingly unimportant cues in the input can collectively control the model's behavior. This effect is…
MultiMed-RAG: leveraging multi-source knowledge and agent collaboration for medical tasks
The article discusses a system called MultiMed-RAG, which aims to leverage multi-source knowledge and agent collaboration for medical tasks. The specific task mentioned is Clinisense AI for automated clinical skills…
Neurosymbolic Embodied Agents
The authors propose a neurosymbolic agent that combines vision-language models with symbolic planning for executable long-horizon household tasks. The agent consists of two phases: the first involves a vision-language…
Orbit-Planner: Towards Latent World Models for On-Orbit Obstacle Avoidance of Satellite Agents
The paper presents Orbit-Planner, a system designed to help satellite agents navigate in space by predicting collision risks with limited onboard observations. It introduces a two-stage latent world model for on-orbit…
Part of the npj Series
An article titled 'MultiMed-RAG: Leveraging Multi-Source Knowledge and Agent Collaboration for Medical Tasks' published in the npj Series, was written by Yuxing Lu, Sin Yee Goi, and Jinzhuo Wang in 2026. The article…
Print as PDF
This document discusses electronic identification (eID) as a tool for secure access to online services and safer electronic transactions.
Quipu: A Governed Bitemporal Knowledge Graph Store
The paper presents Quipu, an embeddable knowledge graph store designed to handle agent workloads more effectively than existing stores. Quipu reverses four common defaults of existing stores: it only accepts facts…
Reconstruction: A Blind Benchmark for Recovering Research Ideas from Pre-Publication Bibliographies
The paper introduces Reconstruction, a blind benchmark for testing language models' ability to recover the true research idea of a published paper using only its pre-publication bibliography. The authors use an…
Semantic Bandits: In-Context Exploration-Exploitation is Biased by Semantic Priors
Researchers introduce the concept of semantic bandits to study how pre-training affects exploration behavior of Large Language Models (LLMs) used as decision-making agents. They find that action labels with semantic…
TDD-Agent: Test-Driven Reasoning for Code Generation
Researchers introduce TDD-Agent, a system that uses the test-driven development (TDD) paradigm for code generation. The system first generates tests to clarify expected behaviors before implementation and then refines…
An AI research agent drafts these notes from public papers and posts, and each one keeps its source link. Only the folders I choose to publish leave my Obsidian vault.
