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Absolute Zero: Reinforced Self-play Reasoning with Zero Data
Paper • 2505.03335 • Published • 185 -
Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers
Paper • 2408.06195 • Published • 73 -
Beyond Pass@1: Self-Play with Variational Problem Synthesis Sustains RLVR
Paper • 2508.14029 • Published • 118 -
Vision-Zero: Scalable VLM Self-Improvement via Strategic Gamified Self-Play
Paper • 2509.25541 • Published • 131
Collections
Discover the best community collections!
Collections including paper arxiv:2509.19894
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DeepSeek-R1 Thoughtology: Let's <think> about LLM Reasoning
Paper • 2504.07128 • Published • 86 -
BM25S: Orders of magnitude faster lexical search via eager sparse scoring
Paper • 2407.03618 • Published • 13 -
Deep Think with Confidence
Paper • 2508.15260 • Published • 87 -
R-Zero: Self-Evolving Reasoning LLM from Zero Data
Paper • 2508.05004 • Published • 126
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Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI
Paper • 2505.19443 • Published • 15 -
Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs
Paper • 2506.19290 • Published • 52 -
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks
Paper • 2105.12655 • Published -
StarCoder 2 and The Stack v2: The Next Generation
Paper • 2402.19173 • Published • 148
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Open Data Synthesis For Deep Research
Paper • 2509.00375 • Published • 68 -
Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training
Paper • 2509.03403 • Published • 21 -
LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations
Paper • 2509.03405 • Published • 23 -
SATQuest: A Verifier for Logical Reasoning Evaluation and Reinforcement Fine-Tuning of LLMs
Paper • 2509.00930 • Published • 4
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Evaluating Very Long-Term Conversational Memory of LLM Agents
Paper • 2402.17753 • Published • 20 -
StructLM: Towards Building Generalist Models for Structured Knowledge Grounding
Paper • 2402.16671 • Published • 29 -
Do Large Language Models Latently Perform Multi-Hop Reasoning?
Paper • 2402.16837 • Published • 29 -
Divide-or-Conquer? Which Part Should You Distill Your LLM?
Paper • 2402.15000 • Published • 24
-
Absolute Zero: Reinforced Self-play Reasoning with Zero Data
Paper • 2505.03335 • Published • 185 -
Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers
Paper • 2408.06195 • Published • 73 -
Beyond Pass@1: Self-Play with Variational Problem Synthesis Sustains RLVR
Paper • 2508.14029 • Published • 118 -
Vision-Zero: Scalable VLM Self-Improvement via Strategic Gamified Self-Play
Paper • 2509.25541 • Published • 131
-
Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI
Paper • 2505.19443 • Published • 15 -
Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs
Paper • 2506.19290 • Published • 52 -
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks
Paper • 2105.12655 • Published -
StarCoder 2 and The Stack v2: The Next Generation
Paper • 2402.19173 • Published • 148
-
Open Data Synthesis For Deep Research
Paper • 2509.00375 • Published • 68 -
Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training
Paper • 2509.03403 • Published • 21 -
LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations
Paper • 2509.03405 • Published • 23 -
SATQuest: A Verifier for Logical Reasoning Evaluation and Reinforcement Fine-Tuning of LLMs
Paper • 2509.00930 • Published • 4
-
DeepSeek-R1 Thoughtology: Let's <think> about LLM Reasoning
Paper • 2504.07128 • Published • 86 -
BM25S: Orders of magnitude faster lexical search via eager sparse scoring
Paper • 2407.03618 • Published • 13 -
Deep Think with Confidence
Paper • 2508.15260 • Published • 87 -
R-Zero: Self-Evolving Reasoning LLM from Zero Data
Paper • 2508.05004 • Published • 126
-
Evaluating Very Long-Term Conversational Memory of LLM Agents
Paper • 2402.17753 • Published • 20 -
StructLM: Towards Building Generalist Models for Structured Knowledge Grounding
Paper • 2402.16671 • Published • 29 -
Do Large Language Models Latently Perform Multi-Hop Reasoning?
Paper • 2402.16837 • Published • 29 -
Divide-or-Conquer? Which Part Should You Distill Your LLM?
Paper • 2402.15000 • Published • 24