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Illustrating Reinforcement Learning from Human Feedback (RLHF)
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natolambert, LouisCastricato, lvwerra, Dahoas
• • 417Uday Phalak
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Introducing Modular Diffusers - Composable Building Blocks for Diffusion Pipelines
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YiYiXu, OzzyGT, dn6, sayakpaul
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OpenEnv in Practice: Evaluating Tool-Using Agents in Real-World Environments
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christian-washington, ajasuja, santosh-iima, lewtun, burtenshaw
• • 35 upvoted 2
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papers 5 months ago
Shaping capabilities with token-level data filtering
Paper • 2601.21571 • Published • 29
LLM-in-Sandbox Elicits General Agentic Intelligence
Paper • 2601.16206 • Published • 87
Agentic Reasoning for Large Language Models
Paper • 2601.12538 • Published • 207
Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Paper • 2601.11868 • Published • 37
upvoted 2
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SmolLM-Smashed: Tiny Giants, Optimized for Speed
PrunaAI
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Open Responses: What you need to know
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evalstate, burtenshaw, merve, pcuenq
• • 112 upvoted a paper 5 months ago
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Strand-Rust-Coder-v1: Rust Coding Model Fine-Tuned on Peer-Ranked Synthetic Data
Fortytwo-Network
• • 9 Article
The Open Evaluation Standard: Benchmarking NVIDIA Nemotron 3 Nano with NeMo Evaluator
nvidia
• • 50 Article
AprielGuard: A Guardrail for Safety and Adversarial Robustness in Modern LLM Systems
ServiceNow-AI
• • 49 upvoted 2
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