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The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 627 -
Hierarchical Reasoning Model
Paper • 2506.21734 • Published • 46 -
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 502 -
Training language models to follow instructions with human feedback
Paper • 2203.02155 • Published • 24
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Collections including paper arxiv:2506.21734
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Neural Machine Translation by Jointly Learning to Align and Translate
Paper • 1409.0473 • Published • 7 -
Attention Is All You Need
Paper • 1706.03762 • Published • 109 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 25 -
Hierarchical Reasoning Model
Paper • 2506.21734 • Published • 46
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GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
Paper • 2507.19457 • Published • 28 -
Agentic Reinforced Policy Optimization
Paper • 2507.19849 • Published • 158 -
Group Sequence Policy Optimization
Paper • 2507.18071 • Published • 316 -
Cache-to-Cache: Direct Semantic Communication Between Large Language Models
Paper • 2510.03215 • Published • 97
-
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 627 -
Hierarchical Reasoning Model
Paper • 2506.21734 • Published • 46 -
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 502 -
Training language models to follow instructions with human feedback
Paper • 2203.02155 • Published • 24
-
Neural Machine Translation by Jointly Learning to Align and Translate
Paper • 1409.0473 • Published • 7 -
Attention Is All You Need
Paper • 1706.03762 • Published • 109 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 25 -
Hierarchical Reasoning Model
Paper • 2506.21734 • Published • 46
-
GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
Paper • 2507.19457 • Published • 28 -
Agentic Reinforced Policy Optimization
Paper • 2507.19849 • Published • 158 -
Group Sequence Policy Optimization
Paper • 2507.18071 • Published • 316 -
Cache-to-Cache: Direct Semantic Communication Between Large Language Models
Paper • 2510.03215 • Published • 97