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PaperAgent

Jun 26, 2026 · Artificial Intelligence

13 Must-Read Agent Papers from Meituan for ICML'26

This article presents a curated list of thirteen recent research papers on generalist agents—covering visual memory, environment synthesis, value modeling, self‑verification, robustness benchmarks, high‑resolution video generation, long‑horizon world models, and alignment fine‑tuning—along with brief abstracts and links to the PDFs for the upcoming Meituan ICML'26 sharing sessions.

AIAgentICML

0 likes · 16 min read

13 Must-Read Agent Papers from Meituan for ICML'26

PaperAgent

Jun 26, 2026 · Artificial Intelligence

Lilian Weng’s Deep Dive into Scaling Laws for Large‑Model Training

The article explains how scaling laws serve as a budget guide for training large language models, comparing Kaplan’s and Chinchilla’s findings, illustrating optimal parameter‑token trade‑offs, and highlighting the impact of data quality and duplication on model performance.

Compute BudgetData QualityKaplan

0 likes · 9 min read

Lilian Weng’s Deep Dive into Scaling Laws for Large‑Model Training

PaperAgent

Jun 23, 2026 · Interview Experience

From a PhD to OpenAI: 57 Interview Lessons and Process Insights

A top NLP PhD shares a detailed, data‑driven account of applying to 11 companies, completing 57 interviews, managing recruiter calls and post‑offer negotiations, and explains how technical preparation, parallel scheduling, and strategic negotiation are crucial for landing a research scientist role at OpenAI.

AIOpenAIPhD

0 likes · 7 min read

From a PhD to OpenAI: 57 Interview Lessons and Process Insights

PaperAgent

Jun 23, 2026 · Artificial Intelligence

Arbor Boosts Autonomous Research Performance 150% Over Claude Code

Arbor, a collaborative framework from RUC and Microsoft, uses Hypothesis‑Tree Refinement to turn short‑lived experiments into lasting research progress, achieving over 2.5× held‑out gains across six autonomous optimization tasks and setting a new SOTA on MLE‑Bench Lite.

AI researchArborAutonomous Optimization

0 likes · 10 min read

Arbor Boosts Autonomous Research Performance 150% Over Claude Code

PaperAgent

Jun 23, 2026 · Artificial Intelligence

Google Predicts AGI Could Reach ASI in as Few as 10 Years

Google DeepMind's "From AGI to ASI" report defines AGI as a node on an intelligence spectrum, introduces Universal AI as the theoretical limit, outlines four technical pathways to Artificial Superintelligence, and examines six key bottlenecks and the AIXI theoretical upper bound.

AGIAIXIASI

0 likes · 9 min read

Google Predicts AGI Could Reach ASI in as Few as 10 Years

PaperAgent

Jun 22, 2026 · Artificial Intelligence

How ORGEval Revealed DeepSeek‑V3’s Surprising Modeling Strength

The paper introduces ORGEval, a graph‑theoretic evaluation framework that replaces costly solvers with bipartite‑graph isomorphism checks, proves a sufficient condition for WL‑test correctness, and shows on the Bench4Opt benchmark that DeepSeek‑V3 outperforms leading inference models in speed, consistency, and overall modeling accuracy.

DeepSeek-V3LLM evaluationORGEval

0 likes · 12 min read

How ORGEval Revealed DeepSeek‑V3’s Surprising Modeling Strength

PaperAgent

Jun 21, 2026 · Artificial Intelligence

What Drives AI Model Evolution? OpenAI’s New Findings on Beneficial Traits

OpenAI’s latest study shows that injecting just 5% of beneficial‑trait data into reinforcement‑learning training yields over 80% improvement across more than 50 alignment evaluations, revealing that a few underlying personality traits drive cross‑domain alignment and persist under adversarial pressure.

AI alignmentadversarial robustnessbeneficial traits

0 likes · 12 min read

What Drives AI Model Evolution? OpenAI’s New Findings on Beneficial Traits

PaperAgent

Jun 21, 2026 · Artificial Intelligence

Prompt Engineering Isn't Dead—It’s Evolving into Loop Engineering

The article explains how prompt engineering is being absorbed by Loop engineering, shifting the focus from writing individual prompts to designing automated, verifiable workflows that handle repetitive tasks, outlining required conditions, a minimum viable Loop, cost metrics, and associated risks.

AI AgentsAutomationLoop Engineering

0 likes · 8 min read

Prompt Engineering Isn't Dead—It’s Evolving into Loop Engineering

PaperAgent

Jun 20, 2026 · Artificial Intelligence

Vertical Domain Agents Gain 88.5% Boost by Adapting the Runtime Interface, Not Retraining

The paper shows that many failures of deterministic LLM agents stem from mismatched model‑environment interfaces, and introduces LIFE‑HARNESS—a four‑layer runtime harness that extracts reusable failure patterns from training trajectories without updating model weights, delivering an average 88.5% relative performance gain across 126 model‑environment settings.

Benchmark EvaluationDeterministic AgentsLLM Agents

0 likes · 8 min read

Vertical Domain Agents Gain 88.5% Boost by Adapting the Runtime Interface, Not Retraining

PaperAgent

Jun 20, 2026 · Artificial Intelligence

Anthropic Unveils Claude Code Artifacts: Turning AI Agents into Live Collaborative Pages

Anthropic’s new Claude Code Artifacts turn AI agent outputs into live, shareable visual pages that capture full session context—including code, connectors, and dialogue—enabling teams to view, update, and collaborate on agent work without additional infrastructure, thereby reducing communication overhead across engineering, security, and FinOps workflows.

AI AgentsAnthropicArtifacts

0 likes · 6 min read

Anthropic Unveils Claude Code Artifacts: Turning AI Agents into Live Collaborative Pages