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PaperAgent

Daily updates, analyzing cutting-edge AI research papers

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PaperAgent
PaperAgent
Aug 7, 2026 · Artificial Intelligence

OpenMLE: Tsinghua’s Self‑Evolving MLE System Pushes 35B Model Past GPT‑5.5

The article introduces OpenMLE, an open‑source full‑stack system for recursive self‑improvement (RSI) research, showing how a 35B Frontis‑MA1 model improves its Medal Average from 39.39% to 71.21% on MLE‑Bench Lite, surpasses GPT‑5.5+Codex, and details the mechanism hierarchy, task‑curation gym, trainable evolution operators, and experimental evidence that training and search gains combine additively.

Evolutionary SearchFrontis-MA1MLE-Bench Lite
0 likes · 19 min read
OpenMLE: Tsinghua’s Self‑Evolving MLE System Pushes 35B Model Past GPT‑5.5
PaperAgent
PaperAgent
Aug 6, 2026 · Artificial Intelligence

What Research Directions Are Worth Pursuing After Reviewing 407 Large Model Papers?

The author curates a collection of 407 recent large‑model papers—264 frontier works across six innovation paths and 143 top‑conference papers—classifies them into 14 hot sub‑topics, and explains how labs can match these directions to their available compute, data, and time resources.

AI researchScientific Computingcausal reasoning
0 likes · 4 min read
What Research Directions Are Worth Pursuing After Reviewing 407 Large Model Papers?
PaperAgent
PaperAgent
Aug 4, 2026 · Artificial Intelligence

How Peking University’s Two Papers Redefine Agent Skill Evolution

Two recent Peking University papers, VeriSkill and SESA, demonstrate that treating agent skills as self‑evolving memory—updated from failures via responsibility attribution, lesson abstraction, and failure distillation—yields significant performance gains across verification and search tasks and transfers across models.

AgentLLMProgram Verification
0 likes · 9 min read
How Peking University’s Two Papers Redefine Agent Skill Evolution
PaperAgent
PaperAgent
Aug 4, 2026 · Artificial Intelligence

Tencent’s WorkBuddy Unveils Its Internal Benchmark in a New Paper

Tencent’s WorkBuddy team released a paper describing the open‑source WorkBuddy Bench, a multi‑model agent benchmark that details task generation, contamination prevention, four specialized tracks (Code, Web, Office, Security), and extensive leaderboard results that reveal how models like GLM‑5.2, Opus 4.8 and GPT‑5.5 perform across diverse real‑world scenarios.

AI benchmarkAgentic AILLM evaluation
0 likes · 13 min read
Tencent’s WorkBuddy Unveils Its Internal Benchmark in a New Paper
PaperAgent
PaperAgent
Aug 2, 2026 · Artificial Intelligence

OpenWorker: Andrew Ng’s Open‑Source AI Coworker Hits 11K Stars

OpenWorker, an open‑source AI coworker released by Andrew Ng, delivers finished work such as HTML briefings by integrating with tools like HubSpot and Slack, supports multiple models, offers 25+ connectors, and enforces approval for risky actions, positioning it as a self‑hosted alternative to Tencent's WorkBuddy.

AI coworkerOpen SourceOpenWorker
0 likes · 7 min read
OpenWorker: Andrew Ng’s Open‑Source AI Coworker Hits 11K Stars
PaperAgent
PaperAgent
Aug 2, 2026 · Artificial Intelligence

OpenAI Unveils Astra: A New Model Solving Ten Decades‑Old Math Problems

OpenAI's quietly released Astra model, revealed through a math paper, claims to have solved ten long‑standing open problems across mathematics and theoretical computer science, generating proofs with the model itself and formalising them in Lean for verification.

AI AgentsAstraLean
0 likes · 5 min read
OpenAI Unveils Astra: A New Model Solving Ten Decades‑Old Math Problems
PaperAgent
PaperAgent
Aug 1, 2026 · Artificial Intelligence

How to Run DeepSeek‑V4‑Flash Locally on a 100 GB Server: Best‑Practice Guide

The article details the release of DeepSeek‑V4‑Flash‑0731, explains how its 284 B‑parameter, 13 B‑activated model can run losslessly on a machine with only 169 GB RAM using Unsloth’s UD‑Q8_K_XL quantization, compares quantization quality, and provides step‑by‑step deployment instructions via Unsloth Studio and llama.cpp.

AI Model DeploymentDeepSeek-V4-FlashLossless Quantization
0 likes · 7 min read
How to Run DeepSeek‑V4‑Flash Locally on a 100 GB Server: Best‑Practice Guide
PaperAgent
PaperAgent
Aug 1, 2026 · Artificial Intelligence

Why LLMs Remember Yet Forget: The Cost of Evolving User Intent

Microsoft Research reveals that large language models excel on static single‑turn tasks but dramatically lose accuracy when user intent evolves across multiple turns, especially during function switches; the study formalizes three intent transition types, proposes a backward‑generation framework, and shows modest gains from memory mechanisms while highlighting the need for active intent recaps.

LLMMemory MechanismUser Intent
0 likes · 12 min read
Why LLMs Remember Yet Forget: The Cost of Evolving User Intent
PaperAgent
PaperAgent
Jul 29, 2026 · Artificial Intelligence

How to Build Harness‑Native Agents Using OpenForge RL

OpenForge RL introduces a lightweight proxy and Kubernetes‑based orchestrator to decouple training from inference, enabling the training of 30B‑scale and 8B agents within any harness, while providing an automatic five‑stage task synthesis pipeline and demonstrating state‑of‑the‑art results across Claw, GUI, and Browser benchmarks.

AgentHarness²Kubernetes
0 likes · 13 min read
How to Build Harness‑Native Agents Using OpenForge RL