lusxvr/nanoVLM-222M
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Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Paper • 2503.09516 • Published • 31 -
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time
Paper • 2505.24863 • Published • 87 -
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning
Paper • 2505.17667 • Published • 85 -
ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models
Paper • 2505.24864 • Published • 112 -
AReaL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning
Paper • 2505.24298 • Published • 20 -
GraLoRA: Granular Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
Paper • 2505.20355 • Published • 36 -
Interleaved Reasoning for Large Language Models via Reinforcement Learning
Paper • 2505.19640 • Published • 12 -
FullFront: Benchmarking MLLMs Across the Full Front-End Engineering Workflow
Paper • 2505.17399 • Published • 14 -
Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles
Paper • 2505.19914 • Published • 40 -
One RL to See Them All: Visual Triple Unified Reinforcement Learning
Paper • 2505.18129 • Published • 59 -
Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning Models
Paper • 2505.14810 • Published • 60 -
Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning
Paper • 2505.16410 • Published • 55 -
JULI: Jailbreak Large Language Models by Self-Introspection
Paper • 2505.11790 • Published -
Optimizing Anytime Reasoning via Budget Relative Policy Optimization
Paper • 2505.13438 • Published • 35 -
Reward Reasoning Model
Paper • 2505.14674 • Published • 34 -
RM-R1: Reward Modeling as Reasoning
Paper • 2505.02387 • Published • 75 -
CPGD: Toward Stable Rule-based Reinforcement Learning for Language Models
Paper • 2505.12504 • Published • 23 -
Neuro-Symbolic Query Compiler
Paper • 2505.11932 • Published • 16