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SkillForge: Self-Distilling Agents for Project-Specific Issue Resolution
SkillForge is a framework that helps large language model-based agents improve their ability to resolve software issues in specific repositories. It does this by proactively acquiring project-specific knowledge from…
SkillForge: Self-Distilling Agents for Project-Specific Issue Resolution
SkillForge is a new framework that helps large language models (LLMs) improve their ability to resolve specific software issues by actively acquiring project-specific knowledge. Instead of waiting for real problems…
SkillGate: Training In-Policy Skill Selection in Long-Horizon Agents
Researchers present SkillGate, a method that aims to improve long-horizon agents' ability to select relevant skills during training. The current approach, outcome-rewarded Reinforcement Learning (RL), has limitations…
SPADE: Self-Play in Adaptive Synthetic Executable Environments
Researchers have developed a new framework called SPADE (Self-Play in Adaptive Synthetic Executable Environments). This framework allows language models to generate and improve their own training environments as they…
SPADE: Self-Play in Adaptive Synthetic Executable Environments
The paper introduces SPADE (Self-Play in Adaptive Synthetic Executable Environments), a framework that allows a language model to design and learn in its own self-generated, diverse, adaptive environments. This…
SPADE: Self-Play in Adaptive Synthetic Executable Environments
The paper introduces SPADE, a reinforcement learning framework that allows a language model to act as both an Environment Designer and a Reasoning Agent. The Environment Designer generates long-horizon training…
extsc{TestifAI}: Tomography-Based Testing for Deep Learning Systems
TestifAI is a deep learning testing framework that efficiently and accurately estimates the robustness of AI models against combinations of perturbations. It allows users to specify operational conditions as structured…
Training Chemical Plausibility-Aware Large Language Models for Single-Step Retrosynthesis
Researchers introduce a new method called Top-K prompting to train language models for single-step retrosynthesis, a crucial component of computer-aided synthesis planning. They use an ultra-large dataset of verified…
Training-Free Inference-Time Self-Reflection and Cost-Bounded Early Stopping for Large Language Models
The paper presents EvoResearcher, a training-free protocol for adding cost-bounded self-reflection to large language models (LLMs). The protocol is designed to work with a single frozen LLM backbone and aims to improve…
Tuning the Stochastic Machine: A Systems Engineer's Operating Model for Human-AI Engineering
The author, a systems engineer, argues that the persistent correction of errors in AI assistants is an operations issue rather than a tooling one. They propose a seven-principle operating discipline for human-AI…
Tuning the Stochastic Machine: A Systems Engineer's Operating Model for Human-AI Engineering
The author, a systems engineer, argues that the persistent correction of errors in LLM (Language Model) assistants is an operations problem rather than a tooling problem. They propose seven principles for an operating…
Tuning the Stochastic Machine: A Systems Engineer's Operating Model for Human-AI Engineering
The author, a systems engineer, argues that issues with Large Language Models (LLMs) are more about operational procedures than tooling. They propose an operating model for human-AI engineering based on seven…
Verifiable abstention makes AI leak diagnosis accountable in water distribution networks
Researchers propose a method for AI in leak localization in water distribution networks that includes verifiable abstention, ensuring accountability when the AI does not act. The method uses a physics-grounded executor…
Verifiable abstention makes AI leak diagnosis accountable in water distribution networks
Researchers propose a method for AI-assisted leak diagnosis in water distribution networks that ensures accountability by allowing the AI to verify and abstain from actions when necessary, improving the accuracy of…
What is Missing from AI Post-Training AI: An Empirical Analysis
The research analyzes the capabilities of large language models (LLMs) that can post-train themselves end-to-end. The study finds that the training strategies of these LLMs are fixed at the beginning, and improvements…
What is Missing from AI Post-Training AI: An Empirical Analysis
Researchers have found that large language models (LLMs) used to post-train other LLMs often follow one training strategy from the beginning and make only local adjustments within it, rather than reevaluating the…
纪念江泽民同志诞辰100周年大会隆重举行 习近平出席大会并发表重要讲话
The 100th birthday celebration of Jiang Zemin was held in Beijing, with Xi Jinping attending and delivering an important speech. The event paid high tribute to Jiang Zemin's enduring contributions to the party and the…
习近平：在纪念江泽民同志诞辰100周年大会上的讲话
Xi Jinping gave a speech at the commemoration event for the 100th birthday of Jiang Zemin. He emphasized studying and implementing the spirit of the 20th CPC National Congress.
2026中国产业转移发展对接活动（西藏）在拉萨举行
The Industrial Transformation and Development Coordination Activity in Tibet took place in Lhasa, with several high-ranking officials attending. The event was held to commemorate the 100th birthday of Jiang Zemin, a…
A virtual trial framework for generating clinical evidence in orthopedics demonstrated with humeral stem evaluation
A study published in npj Digital Medicine on August 17, 2026, discusses a virtual trial framework used for generating clinical evidence in orthopedics, specifically with the evaluation of humeral stems. The framework…
AI app-market evidence brief
Which current AI trends, capabilities, interfaces, agent patterns, smart-glasses/spatial-computing developments, on-device AI, voice/vision systems, and hybrid hardware-software opportunities could create underserved…
An autoinflammatory CDC42 variant M45L demonstrates the mechanism of pyrin inflammasome activation
A study published in Science Immunology in 2026 by Aoki et al. explains the mechanism of pyrin inflammasome activation caused by a specific variant of CDC42, M45L.
An N-terminal CDC42 T43I variant reveals the mechanism of pyrin inflammasome activation
A study published in Science Immunology in August 2026 reveals the mechanism of pyrin inflammasome activation through an N-terminal CDC42 T43I variant.
Aug 17, 2026 LHAASO Identifies First Variable PeV Gamma-ray Source The Large High Altitude Air Shower Observatory (LHAASO) revealed that the peculiar binary system Cygnus X-3 in the constellation Cygnus is the highest energy gamma-ray source known to date. The temporal variability and spectral chara
The Large High Altitude Air Shower Observatory (LHAASO) identified Cygnus X-3 as the highest energy gamma-ray source known to date, with particle energies reaching at least 30 PeV.
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