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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 24 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 85 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 152 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
Collections
Discover the best community collections!
Collections including paper arxiv:2512.24617
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Dynamic Large Concept Models: Latent Reasoning in an Adaptive Semantic Space
Paper • 2512.24617 • Published • 65 -
Recursive Language Models
Paper • 2512.24601 • Published • 91 -
Nested Learning: The Illusion of Deep Learning Architectures
Paper • 2512.24695 • Published • 44 -
DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Paper • 2512.02556 • Published • 260
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Contrastive Learning for Many-to-many Multilingual Neural Machine Translation
Paper • 2105.09501 • Published • 1 -
Cross-modal Contrastive Learning for Speech Translation
Paper • 2205.02444 • Published -
ByteTransformer: A High-Performance Transformer Boosted for Variable-Length Inputs
Paper • 2210.03052 • Published -
Diffusion Glancing Transformer for Parallel Sequence to Sequence Learning
Paper • 2212.10240 • Published • 1
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GARDO: Reinforcing Diffusion Models without Reward Hacking
Paper • 2512.24138 • Published • 29 -
DiffThinker: Towards Generative Multimodal Reasoning with Diffusion Models
Paper • 2512.24165 • Published • 51 -
Dynamic Large Concept Models: Latent Reasoning in an Adaptive Semantic Space
Paper • 2512.24617 • Published • 65 -
Coupling Experts and Routers in Mixture-of-Experts via an Auxiliary Loss
Paper • 2512.23447 • Published • 98
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OpenMMReasoner: Pushing the Frontiers for Multimodal Reasoning with an Open and General Recipe
Paper • 2511.16334 • Published • 93 -
Parallel-R1: Towards Parallel Thinking via Reinforcement Learning
Paper • 2509.07980 • Published • 105 -
ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute
Paper • 2509.04475 • Published • 3 -
Stabilizing Reinforcement Learning with LLMs: Formulation and Practices
Paper • 2512.01374 • Published • 105
-
Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 24 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 85 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 152 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
-
Contrastive Learning for Many-to-many Multilingual Neural Machine Translation
Paper • 2105.09501 • Published • 1 -
Cross-modal Contrastive Learning for Speech Translation
Paper • 2205.02444 • Published -
ByteTransformer: A High-Performance Transformer Boosted for Variable-Length Inputs
Paper • 2210.03052 • Published -
Diffusion Glancing Transformer for Parallel Sequence to Sequence Learning
Paper • 2212.10240 • Published • 1
-
Dynamic Large Concept Models: Latent Reasoning in an Adaptive Semantic Space
Paper • 2512.24617 • Published • 65 -
Recursive Language Models
Paper • 2512.24601 • Published • 91 -
Nested Learning: The Illusion of Deep Learning Architectures
Paper • 2512.24695 • Published • 44 -
DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
Paper • 2512.02556 • Published • 260
-
GARDO: Reinforcing Diffusion Models without Reward Hacking
Paper • 2512.24138 • Published • 29 -
DiffThinker: Towards Generative Multimodal Reasoning with Diffusion Models
Paper • 2512.24165 • Published • 51 -
Dynamic Large Concept Models: Latent Reasoning in an Adaptive Semantic Space
Paper • 2512.24617 • Published • 65 -
Coupling Experts and Routers in Mixture-of-Experts via an Auxiliary Loss
Paper • 2512.23447 • Published • 98
-
OpenMMReasoner: Pushing the Frontiers for Multimodal Reasoning with an Open and General Recipe
Paper • 2511.16334 • Published • 93 -
Parallel-R1: Towards Parallel Thinking via Reinforcement Learning
Paper • 2509.07980 • Published • 105 -
ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute
Paper • 2509.04475 • Published • 3 -
Stabilizing Reinforcement Learning with LLMs: Formulation and Practices
Paper • 2512.01374 • Published • 105