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2,348 notes and 295 topics.
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2,348 notes, page 18 of 98
Who Thinks Best Depends on How Long You Let Them: Budget-Dependent Rankings in LLM Evaluation
An evaluation study examining how token budgets affect model accuracy and comparative rankings.
A Comparative Evaluation of Deep Learning Object Detection Models on a Real-World Multi-Plant Dataset from Africa
A study compares six object detection models on a dataset collected from Nigerian farms, called AgriAISeg, which includes sesame, cabbage, and tomato crops under varying environmental conditions. The models tested are…
A Gateway Architecture for Enterprise MCP Authentication: Unifying Heterogeneous Auth, Identity Delegation, and the User / Non-User Persona Problem
The paper discusses a solution to a governance crisis caused by the rapid adoption of Model Context Protocol (MCP) for connecting LLM agents with enterprise tools. The solution is a centralized MCP gateway that…
A Gateway Architecture for Enterprise MCP Authentication: Unifying Heterogeneous Auth, Identity Delegation, and the User / Non-User Persona Problem
This research presents a solution to the governance crisis caused by the rapid adoption of Model Context Protocol (MCP) in large organizations. The proposed solution is a centralized MCP gateway that unifies…
ChemWorld: Programmable Chemical Worlds for Controlled and Replayable Agent Experimentation
The paper introduces ChemWorld, a programmable chemical environment designed for repeatable and controllable agent experimentation in autonomous chemistry. The environment allows researchers to compile reusable process…
ChemWorld: Programmable Chemical Worlds for Controlled and Replayable Agent Experimentation
The paper introduces ChemWorld, a programmable chemical environment that allows researchers to create executable worlds with reusable components. This environment separates the experimental contract available to an…
ComBodied Agents: a New Paradigm of Human-Centric Agentic AI
The text discusses a new paradigm called ComBodied Agents, which aims to bridge the gap between digital and embodied artificial intelligence by focusing on modeling, predicting, and supporting individual humans over…
ComBodied Agents: a New Paradigm of Human-Centric Agentic AI
The text introduces a new paradigm called ComBodied Agents, which aims to bridge the gap between digital and embodied agents in AI by focusing on understanding and supporting individual human state trajectories over…
ConVAWG: A Retrieval-Grounded Framework for Controlled Synthetic Dialogue Generation in Violence Against Women and Girls
The study presents ConVAWG, a framework that generates synthetic dialogues about Violence Against Women and Girls (VAWG) using a retrieval-based approach. The framework constructs scenarios based on persona seeds…
Conversational Orchestration for Organic 6G
The text discusses a proposed lightweight, decentralized conversational orchestration framework for the 'Organic 6G' network using Large Language Model (LLM)-driven domain agents. The framework aims to simplify service…
Conversational Orchestration for Organic 6G
The authors propose a lightweight, decentralized conversational orchestration framework using Large Language Model (LLM)-driven domain agents for the future network of networks, Organic 6G. The aim is to provide…
DuplexWorld: Can voice agents help you get through the day?
The research paper DuplexWorld evaluates voice agents' performance in various mundane activities like banking, insurance, travel, healthcare, logistics, and pathfinding. The evaluation includes 156 scenarios testing…
DuplexWorld: Can voice agents help you get through the day?
A research paper titled 'DuplexWorld' discusses the use of speech-to-speech (S2S) voice agents in various sectors like banking, insurance, travel, healthcare, logistics, and pathfinding. The study evaluates the…
Entropy-Centric Explainable AI for Remote Sensing Image Segmentation
The provided text discusses a new Explainable AI (XAI) method for semantic image segmentation in remote sensing, which aims to increase transparency and trust in AI models. The proposed method is based on entropy and…
Entropy-Centric Explainable AI for Remote Sensing Image Segmentation
This research paper introduces an explainable AI (XAI) method for image segmentation in remote sensing. The method is centered around entropy and aims to provide insights into the decision-making process of AI models…
EvoMem: Memory-Augmented Evolution for Code Optimization
The paper introduces EvoMem, a memory architecture for Long Learning Machine (LLM) based evolutionary program search. EvoMem captures and reuses knowledge from successful mutation events to improve the efficiency of…
GitSkills: A Dataset of Agent Skills on GitHub
Researchers present GitSkills, a dataset containing over 3 million skill files for language-model agents found in public GitHub repositories in July 2026. The dataset retains every file occurrence with its repository…
GitSkills: A Dataset of Agent Skills on GitHub
The paper introduces GitSkills, a dataset of 3,797,117 SKILL.md files collected from public GitHub repositories in July 2026. The dataset retains every file occurrence with its repository, path, and content hash. It…
How to Verify Consistency of Probabilistic Claims
Researchers propose an interactive protocol that allows a polynomial-time verifier to check the approximate consistency of a probabilistic predictor's answers in polynomial time. The protocol is relevant for AI safety…
Hypothesis Frontier: Verifier Guided LLM and Symbolic Search for First-Order Induction
The paper introduces Hypothesis Frontier, a framework that uses a combination of language models (LLMs) and symbolic processing to solve first-order concept synthesis problems. The system iteratively generates and…
IO Factory: Simulating AI-Enabled Influence Campaigns at Scale
The paper introduces IO Factory, an AI framework designed to simulate information and influence campaigns at scale. The framework is designed to handle not just individual language models but also AI swarms, which are…
IO Factory: Simulating AI-Enabled Influence Campaigns at Scale
The authors introduce IO Factory, an AI-driven framework for simulating complex information and influence campaigns at scale. These campaigns involve AI swarms that adapt to platform feedback and disguise organized…
MIRA: Medical Image Reflection for Agentic Diagnosis
Researchers present MIRA, a medical image diagnosis framework that allows an autonomous agent to search for relevant evidence, verify the relevance and consistency of the acquired evidence, and adapt its tool-use…
MIRA: Medical Image Reflection for Agentic Diagnosis
The paper introduces MIRA (Medical Image Reflection for Agentic Diagnosis), a medical visual diagnostic framework designed to autonomously search for evidence and verify its relevance and consistency in image…
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.
