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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 155 -
Orion-14B: Open-source Multilingual Large Language Models
Paper • 2401.12246 • Published • 14 -
MambaByte: Token-free Selective State Space Model
Paper • 2401.13660 • Published • 59 -
MM-LLMs: Recent Advances in MultiModal Large Language Models
Paper • 2401.13601 • Published • 47
Collections
Discover the best community collections!
Collections including paper arxiv:2502.08606
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Slamming: Training a Speech Language Model on One GPU in a Day
Paper • 2502.15814 • Published • 69 -
Small Models Struggle to Learn from Strong Reasoners
Paper • 2502.12143 • Published • 40 -
HeadInfer: Memory-Efficient LLM Inference by Head-wise Offloading
Paper • 2502.12574 • Published • 13 -
Large Language Diffusion Models
Paper • 2502.09992 • Published • 128
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Evolving Deeper LLM Thinking
Paper • 2501.09891 • Published • 115 -
PaSa: An LLM Agent for Comprehensive Academic Paper Search
Paper • 2501.10120 • Published • 55 -
Multiple Choice Questions: Reasoning Makes Large Language Models (LLMs) More Self-Confident Even When They Are Wrong
Paper • 2501.09775 • Published • 32 -
ComplexFuncBench: Exploring Multi-Step and Constrained Function Calling under Long-Context Scenario
Paper • 2501.10132 • Published • 22
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SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models
Paper • 2502.09604 • Published • 37 -
Distillation Scaling Laws
Paper • 2502.08606 • Published • 47 -
InfiniteHiP: Extending Language Model Context Up to 3 Million Tokens on a Single GPU
Paper • 2502.08910 • Published • 150
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Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning
Paper • 2502.14768 • Published • 47 -
S^2R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning
Paper • 2502.12853 • Published • 29 -
Diverse Inference and Verification for Advanced Reasoning
Paper • 2502.09955 • Published • 18 -
Distillation Scaling Laws
Paper • 2502.08606 • Published • 47
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Distillation Scaling Laws
Paper • 2502.08606 • Published • 47 -
I-Con: A Unifying Framework for Representation Learning
Paper • 2504.16929 • Published • 31 -
Chain-of-Model Learning for Language Model
Paper • 2505.11820 • Published • 121 -
Nested Learning: The Illusion of Deep Learning Architectures
Paper • 2512.24695 • Published • 46
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 155 -
Orion-14B: Open-source Multilingual Large Language Models
Paper • 2401.12246 • Published • 14 -
MambaByte: Token-free Selective State Space Model
Paper • 2401.13660 • Published • 59 -
MM-LLMs: Recent Advances in MultiModal Large Language Models
Paper • 2401.13601 • Published • 47
-
Slamming: Training a Speech Language Model on One GPU in a Day
Paper • 2502.15814 • Published • 69 -
Small Models Struggle to Learn from Strong Reasoners
Paper • 2502.12143 • Published • 40 -
HeadInfer: Memory-Efficient LLM Inference by Head-wise Offloading
Paper • 2502.12574 • Published • 13 -
Large Language Diffusion Models
Paper • 2502.09992 • Published • 128
-
Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning
Paper • 2502.14768 • Published • 47 -
S^2R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning
Paper • 2502.12853 • Published • 29 -
Diverse Inference and Verification for Advanced Reasoning
Paper • 2502.09955 • Published • 18 -
Distillation Scaling Laws
Paper • 2502.08606 • Published • 47
-
Evolving Deeper LLM Thinking
Paper • 2501.09891 • Published • 115 -
PaSa: An LLM Agent for Comprehensive Academic Paper Search
Paper • 2501.10120 • Published • 55 -
Multiple Choice Questions: Reasoning Makes Large Language Models (LLMs) More Self-Confident Even When They Are Wrong
Paper • 2501.09775 • Published • 32 -
ComplexFuncBench: Exploring Multi-Step and Constrained Function Calling under Long-Context Scenario
Paper • 2501.10132 • Published • 22
-
SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models
Paper • 2502.09604 • Published • 37 -
Distillation Scaling Laws
Paper • 2502.08606 • Published • 47 -
InfiniteHiP: Extending Language Model Context Up to 3 Million Tokens on a Single GPU
Paper • 2502.08910 • Published • 150
-
Distillation Scaling Laws
Paper • 2502.08606 • Published • 47 -
I-Con: A Unifying Framework for Representation Learning
Paper • 2504.16929 • Published • 31 -
Chain-of-Model Learning for Language Model
Paper • 2505.11820 • Published • 121 -
Nested Learning: The Illusion of Deep Learning Architectures
Paper • 2512.24695 • Published • 46