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AI is more likely than humans to form biases when hiring2h◆Beyond a Single Direction: Chain-of-Thought Disrupts Simple Steering of Refusal6h◆SkillCorpus: Consolidating and Evaluating the Open Skill Ecosystem for Real-World LLM Agents6h◆PolyInterview: An LLM-based Platform for Immersive Mock Interview Practice with Comprehensive Multimodal Assessment6h◆Do Coding Agents Need Executable World Models, Simplification, and Verification to Solve ARC-AGI-3?6h◆Beyond a Joke: Multi-Angle Reasoning for Detecting and Explaining Harmful Humor in Memes6h◆From Black Box to Executable Logic: Explainable Reinforcement Learning through Prolog Expert Systems6h◆Closing the AI Trust Gap: The Case for Independent Certification for Trustworthy AI6h◆CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data6h◆Latency-Response Theory Model: Evaluating Large Language Models via Response Accuracy and Chain-of-Thought Length6h◆Digital Pantheon: Simulating and Auditing Coalition Formation with LLM Agents6h◆EpiNarrate: Agentic Generation of Grounded Narratives from Epidemiological Scenario Projections6h◆Before the Action: Benchmarking LLMs on Prospective Hypothesis Discovery6h◆How Much Human Label Variation Does Formal Semantic Structure Explain?: Group-Level Effects and Item-Level Ceilings in NLI6h◆Learn to Memorize: Scalable Continual Learning in Semiparametric Models with Mixture-of-Neighbors Induction Memory6h◆Echoes Across Vietnam's Highlands, Delta, and Coast: A Multilingual Corpus for Cham, Khmer, and Tay-Nung6h◆Stochastic Reset Pathfinding: Path-Level Regret for Cascading Bandits over Graph Paths6h◆ADS-C: Antidistillation Sampling for Classification6h◆A Physics-Informed Neural Network with a Modified Lorentzian Activation for Nonlocal Gradient-Flow Equations in Dynamic Density Functional Theory6h◆DyneTrion: A Spatio-temporally Coherent Generative Emulator for Protein Dynamics Across Timescales6h◆AI is more likely than humans to form biases when hiring2h◆Beyond a Single Direction: Chain-of-Thought Disrupts Simple Steering of Refusal6h◆SkillCorpus: Consolidating and Evaluating the Open Skill Ecosystem for Real-World LLM Agents6h◆PolyInterview: An LLM-based Platform for Immersive Mock Interview Practice with Comprehensive Multimodal Assessment6h◆Do Coding Agents Need Executable World Models, Simplification, and Verification to Solve ARC-AGI-3?6h◆Beyond a Joke: Multi-Angle Reasoning for Detecting and Explaining Harmful Humor in Memes6h◆From Black Box to Executable Logic: Explainable Reinforcement Learning through Prolog Expert Systems6h◆Closing the AI Trust Gap: The Case for Independent Certification for Trustworthy AI6h◆CRAFT: Clustering Rubrics to Diagnose Weak LLM Capabilities and Generate Targeted Fine-Tuning Data6h◆Latency-Response Theory Model: Evaluating Large Language Models via Response Accuracy and Chain-of-Thought Length6h◆Digital Pantheon: Simulating and Auditing Coalition Formation with LLM Agents6h◆EpiNarrate: Agentic Generation of Grounded Narratives from Epidemiological Scenario Projections6h◆Before the Action: Benchmarking LLMs on Prospective Hypothesis Discovery6h◆How Much Human Label Variation Does Formal Semantic Structure Explain?: Group-Level Effects and Item-Level Ceilings in NLI6h◆Learn to Memorize: Scalable Continual Learning in Semiparametric Models with Mixture-of-Neighbors Induction Memory6h◆Echoes Across Vietnam's Highlands, Delta, and Coast: A Multilingual Corpus for Cham, Khmer, and Tay-Nung6h◆Stochastic Reset Pathfinding: Path-Level Regret for Cascading Bandits over Graph Paths6h◆ADS-C: Antidistillation Sampling for Classification6h◆A Physics-Informed Neural Network with a Modified Lorentzian Activation for Nonlocal Gradient-Flow Equations in Dynamic Density Functional Theory6h◆DyneTrion: A Spatio-temporally Coherent Generative Emulator for Protein Dynamics Across Timescales6h◆
News/Open-R1: a fully open reproduction of DeepSeek-R1
huggingface
PublishedJanuary 28, 2025 at 12:00 AM

Open-R1: a fully open reproduction of DeepSeek-R1

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