Tagged articles

Cross-Domain Transfer

5 articles · Page 1 of 1

Sep 24, 2026 · Artificial Intelligence

ModularRSI: Agents Self-Improve by Evolving Harness, Not Model Weights

ModularRSI demonstrates that AI agents can continuously self-improve by evolving their harness—the surrounding system mechanisms like tool use, context management, and task completion detection—while keeping the base model frozen, achieving performance gains on Terminal-Bench and SWE-Bench that transfer across domains and models.

Agent Self-ImprovementCross-Domain TransferCross-Model Transfer

0 likes · 18 min read

ModularRSI: Agents Self-Improve by Evolving Harness, Not Model Weights

Machine Heart

Apr 2, 2026 · Artificial Intelligence

Dual Alignment Theory Redefines Cross-Domain Offline RL Transfer

The paper revisits cross-domain offline reinforcement learning, showing that aligning both dynamics and value of source data is essential for effective policy transfer, and introduces the DVDF framework that jointly filters source samples, achieving consistent performance gains across multiple robotic control benchmarks.

Cross-Domain TransferDVDFdynamics alignment

0 likes · 13 min read

Dual Alignment Theory Redefines Cross-Domain Offline RL Transfer

SuanNi

Apr 2, 2026 · Artificial Intelligence

EvoSkill: Turning AI Failures into 12% Accuracy Gains with Automated Skill Evolution

The EvoSkill framework introduced by Sentient and Virginia Tech researchers equips large language models with a text‑feedback loop that automatically discovers, refines, and validates reusable agent Skills, boosting task‑specific accuracy by 12.1% and enabling cross‑domain transfer without altering the underlying model parameters.

AIAutomated LearningCross-Domain Transfer

0 likes · 11 min read

EvoSkill: Turning AI Failures into 12% Accuracy Gains with Automated Skill Evolution

AI Engineering

Mar 27, 2026 · Artificial Intelligence

How Hyperagents Enable AI to Self‑Improve Its Own Improvement Process

Meta's Hyperagents paper introduces a self‑modifying AI architecture that lets task agents and meta‑agents coexist, allowing the system to not only solve tasks but also evolve the very mechanisms of its own improvement across multiple domains.

Cross-Domain TransferDGM-HHyperagents

0 likes · 8 min read

How Hyperagents Enable AI to Self‑Improve Its Own Improvement Process

Tencent Advertising Technology

Aug 26, 2024 · Artificial Intelligence

ADSNet: Cross-Domain LTV Prediction with an Adaptive Siamese Network in Advertising

ADSNet introduces an adaptive Siamese network for cross‑domain lifetime value (LTV) prediction in advertising, leveraging external channel data to mitigate sample sparsity, employing gain‑based sample selection, domain adaptation, and ordinal classification to improve pLTV accuracy and address negative transfer.

AdvertisingCross-Domain TransferDomain Adaptation

0 likes · 12 min read

ADSNet: Cross-Domain LTV Prediction with an Adaptive Siamese Network in Advertising