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VESPO: Variational Sequence-Level Soft Policy Optimization for Stable Off-Policy LLM Training
Paper • 2602.10693 • Published • 220 -
Reinforced Attention Learning
Paper • 2602.04884 • Published • 29 -
Learning to Reason in 13 Parameters
Paper • 2602.04118 • Published • 6 -
LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters
Paper • 2405.17604 • Published • 3
Collections
Discover the best community collections!
Collections including paper arxiv:2104.09864
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Attention Is All You Need
Paper • 1706.03762 • Published • 120 -
LoRA: Low-Rank Adaptation of Large Language Models
Paper • 2106.09685 • Published • 60 -
Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity
Paper • 2101.03961 • Published • 13 -
Proximal Policy Optimization Algorithms
Paper • 1707.06347 • Published • 11
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Attention Is All You Need
Paper • 1706.03762 • Published • 120 -
Scaling Laws for Neural Language Models
Paper • 2001.08361 • Published • 10 -
RoFormer: Enhanced Transformer with Rotary Position Embedding
Paper • 2104.09864 • Published • 17 -
LoRA Learns Less and Forgets Less
Paper • 2405.09673 • Published • 91
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Flowing from Words to Pixels: A Framework for Cross-Modality Evolution
Paper • 2412.15213 • Published • 28 -
No More Adam: Learning Rate Scaling at Initialization is All You Need
Paper • 2412.11768 • Published • 43 -
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference
Paper • 2412.13663 • Published • 163 -
Autoregressive Video Generation without Vector Quantization
Paper • 2412.14169 • Published • 14
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Self-Play Preference Optimization for Language Model Alignment
Paper • 2405.00675 • Published • 28 -
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
Paper • 2205.14135 • Published • 15 -
Attention Is All You Need
Paper • 1706.03762 • Published • 120 -
FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning
Paper • 2307.08691 • Published • 9
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Attention Is All You Need
Paper • 1706.03762 • Published • 120 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 20 -
GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints
Paper • 2305.13245 • Published • 6 -
Llama 2: Open Foundation and Fine-Tuned Chat Models
Paper • 2307.09288 • Published • 251
-
VESPO: Variational Sequence-Level Soft Policy Optimization for Stable Off-Policy LLM Training
Paper • 2602.10693 • Published • 220 -
Reinforced Attention Learning
Paper • 2602.04884 • Published • 29 -
Learning to Reason in 13 Parameters
Paper • 2602.04118 • Published • 6 -
LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters
Paper • 2405.17604 • Published • 3
-
Attention Is All You Need
Paper • 1706.03762 • Published • 120 -
LoRA: Low-Rank Adaptation of Large Language Models
Paper • 2106.09685 • Published • 60 -
Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity
Paper • 2101.03961 • Published • 13 -
Proximal Policy Optimization Algorithms
Paper • 1707.06347 • Published • 11
-
Flowing from Words to Pixels: A Framework for Cross-Modality Evolution
Paper • 2412.15213 • Published • 28 -
No More Adam: Learning Rate Scaling at Initialization is All You Need
Paper • 2412.11768 • Published • 43 -
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference
Paper • 2412.13663 • Published • 163 -
Autoregressive Video Generation without Vector Quantization
Paper • 2412.14169 • Published • 14
-
Self-Play Preference Optimization for Language Model Alignment
Paper • 2405.00675 • Published • 28 -
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
Paper • 2205.14135 • Published • 15 -
Attention Is All You Need
Paper • 1706.03762 • Published • 120 -
FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning
Paper • 2307.08691 • Published • 9
-
Attention Is All You Need
Paper • 1706.03762 • Published • 120 -
Scaling Laws for Neural Language Models
Paper • 2001.08361 • Published • 10 -
RoFormer: Enhanced Transformer with Rotary Position Embedding
Paper • 2104.09864 • Published • 17 -
LoRA Learns Less and Forgets Less
Paper • 2405.09673 • Published • 91
-
Attention Is All You Need
Paper • 1706.03762 • Published • 120 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 20 -
GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints
Paper • 2305.13245 • Published • 6 -
Llama 2: Open Foundation and Fine-Tuned Chat Models
Paper • 2307.09288 • Published • 251