Collections
Discover the best community collections!
Collections trending this week
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PockEngine: Sparse and Efficient Fine-tuning in a Pocket
Paper • 2310.17752 • Published • 15 -
Instruction-tuning Aligns LLMs to the Human Brain
Paper • 2312.00575 • Published • 15 -
LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning
Paper • 2401.01325 • Published • 27 -
Secrets of RLHF in Large Language Models Part II: Reward Modeling
Paper • 2401.06080 • Published • 27
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In-Context Learning Creates Task Vectors
Paper • 2310.15916 • Published • 43 -
Point Transformer V3: Simpler, Faster, Stronger
Paper • 2312.10035 • Published • 23 -
Extending Context Window of Large Language Models via Semantic Compression
Paper • 2312.09571 • Published • 16 -
PanGu-π: Enhancing Language Model Architectures via Nonlinearity Compensation
Paper • 2312.17276 • Published • 16
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Controlled Decoding from Language Models
Paper • 2310.17022 • Published • 14 -
Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning
Paper • 2310.20587 • Published • 18 -
Inpainting-Guided Policy Optimization for Diffusion Large Language Models
Paper • 2509.10396 • Published • 17 -
The Path Not Taken: RLVR Provably Learns Off the Principals
Paper • 2511.08567 • Published • 37
-
In-Context Learning Creates Task Vectors
Paper • 2310.15916 • Published • 43 -
Point Transformer V3: Simpler, Faster, Stronger
Paper • 2312.10035 • Published • 23 -
Extending Context Window of Large Language Models via Semantic Compression
Paper • 2312.09571 • Published • 16 -
PanGu-π: Enhancing Language Model Architectures via Nonlinearity Compensation
Paper • 2312.17276 • Published • 16
-
Controlled Decoding from Language Models
Paper • 2310.17022 • Published • 14 -
Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning
Paper • 2310.20587 • Published • 18 -
Inpainting-Guided Policy Optimization for Diffusion Large Language Models
Paper • 2509.10396 • Published • 17 -
The Path Not Taken: RLVR Provably Learns Off the Principals
Paper • 2511.08567 • Published • 37
-
PockEngine: Sparse and Efficient Fine-tuning in a Pocket
Paper • 2310.17752 • Published • 15 -
Instruction-tuning Aligns LLMs to the Human Brain
Paper • 2312.00575 • Published • 15 -
LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning
Paper • 2401.01325 • Published • 27 -
Secrets of RLHF in Large Language Models Part II: Reward Modeling
Paper • 2401.06080 • Published • 27