Raja Biswas

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upvoted a paper 3 days ago

COLLEAGUE.SKILL: Automated AI Skill Generation via Expert Knowledge Distillation

Paper • 2605.31264 • Published 7 days ago • 105

upvoted 2 papers 9 days ago

Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering

Paper • 2604.08224 • Published Apr 9 • 52

Memory in the Age of AI Agents

Paper • 2512.13564 • Published Dec 15, 2025 • 157

upvoted 4 papers 10 days ago

SkillOpt: Executive Strategy for Self-Evolving Agent Skills

Paper • 2605.23904 • Published 14 days ago • 221

SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks

Paper • 2602.12670 • Published Feb 13 • 62

MemGovern: Enhancing Code Agents through Learning from Governed Human Experiences

Paper • 2601.06789 • Published Jan 11 • 82

SimpleMem: Efficient Lifelong Memory for LLM Agents

Paper • 2601.02553 • Published Jan 5 • 38

upvoted an article 10 days ago

view article

Article

Harness, Scaffold, and the AI Agent Terms Worth Getting Right

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sergiopaniego, ariG23498

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11 days ago

• 98

upvoted a collection 18 days ago

WebWorld

Collection

4 items • Updated 25 days ago • 11

upvoted a paper 23 days ago

NanoResearch: Co-Evolving Skills, Memory, and Policy for Personalized Research Automation

Paper • 2605.10813 • Published 25 days ago • 16

upvoted a collection about 1 month ago

NVIDIA Nemotron v3

Collection

Open, Production-ready Enterprise Models • 23 items • Updated about 19 hours ago • 313

upvoted 3 papers about 2 months ago

DR^{3}-Eval: Towards Realistic and Reproducible Deep Research Evaluation

Paper • 2604.14683 • Published Apr 16 • 36

Adam's Law: Textual Frequency Law on Large Language Models

Paper • 2604.02176 • Published Apr 2 • 506

FutureX: An Advanced Live Benchmark for LLM Agents in Future Prediction

Paper • 2508.11987 • Published Aug 16, 2025 • 73

upvoted an article about 2 months ago

view article

Article

Beyond Semantic Similarity: Introducing NVIDIA NeMo Retriever’s Generalizable Agentic Retrieval Pipeline

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nvidia

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Mar 13

• 40

upvoted 5 papers about 2 months ago

OPUS: Towards Efficient and Principled Data Selection in Large Language Model Pre-training in Every Iteration

Paper • 2602.05400 • Published Feb 5 • 355

AI Can Learn Scientific Taste

Paper • 2603.14473 • Published Mar 15 • 429

OpenWorldLib: A Unified Codebase and Definition of Advanced World Models

Paper • 2604.04707 • Published Apr 6 • 203

FIPO: Eliciting Deep Reasoning with Future-KL Influenced Policy Optimization

Paper • 2603.19835 • Published Mar 20 • 352

DataFlex: A Unified Framework for Data-Centric Dynamic Training of Large Language Models

Paper • 2603.26164 • Published Mar 27 • 366