New AI Model "Thinks" Without Using a Single Token youtu.be/ZLtXXFcHNOU?... #AI #LLM #ImplicitReasoning #LatentSpace #Tokens #ChainOfThought #Reasoning #ContextWindows #TestTimeComputation #RecurrentDepthApproach #ThinkingInContinuousSpace #Verbalizing
New AI Model "Thinks" Without Using a Single Token
YouTube video by Matthew Berman
youtu.be
February 13, 2025 at 7:25 PM
New AI Model "Thinks" Without Using a Single Token youtu.be/ZLtXXFcHNOU?... #AI #LLM #ImplicitReasoning #LatentSpace #Tokens #ChainOfThought #Reasoning #ContextWindows #TestTimeComputation #RecurrentDepthApproach #ThinkingInContinuousSpace #Verbalizing
Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach arxiv.org/abs/2502.05171 #AI #LLM #ImplicitReasoning #LatentSpace #Tokens #ChainOfThought #Reasoning #ContextWindows #TestTimeComputation #RecurrentDepthApproach #ThinkingInContinuousSpace #Verbalizing
Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach
We study a novel language model architecture that is capable of scaling test-time computation by implicitly reasoning in latent space. Our model works by iterating a recurrent block, thereby unrolling...
arxiv.org
February 13, 2025 at 7:23 PM
Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach arxiv.org/abs/2502.05171 #AI #LLM #ImplicitReasoning #LatentSpace #Tokens #ChainOfThought #Reasoning #ContextWindows #TestTimeComputation #RecurrentDepthApproach #ThinkingInContinuousSpace #Verbalizing
CRE-T1 Preview Technical Report: Beyond Contrastive Learning for Reasoning-Intensive Retrieval
Introduces a generative retrieval model that replaces static contrastive representation alignment with dynamic per-query reasoning trajectories.
📝 arxiv.org/abs/2603.17387
Introduces a generative retrieval model that replaces static contrastive representation alignment with dynamic per-query reasoning trajectories.
📝 arxiv.org/abs/2603.17387
CRE-T1 Preview Technical Report: Beyond Contrastive Learning for Reasoning-Intensive Retrieval
The central challenge of reasoning-intensive retrieval lies in identifying implicitreasoning relationships between queries and documents, rather than superficial se-mantic or lexical similarity. The c...
arxiv.org
March 19, 2026 at 4:41 AM
CRE-T1 Preview Technical Report: Beyond Contrastive Learning for Reasoning-Intensive Retrieval
Introduces a generative retrieval model that replaces static contrastive representation alignment with dynamic per-query reasoning trajectories.
📝 arxiv.org/abs/2603.17387
Introduces a generative retrieval model that replaces static contrastive representation alignment with dynamic per-query reasoning trajectories.
📝 arxiv.org/abs/2603.17387