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thehunmonkgroup / summary.md
Created March 29, 2025 13:15
Summary: Research: Learning To Reason With Search For Llms Via Reinforcement Learning

URL: https://arxiv.org/pdf/2503.19470

Research: Learning To Reason With Search For Llms Via Reinforcement Learning


QUESTION 1:

Can you give me a very clear explanation of the core assertions, implications, and mechanics elucidated in this paper?

ANSWER 1:

@thehunmonkgroup
thehunmonkgroup / summary.md
Created March 29, 2025 13:14
Summary: Reasoning To Learn From Latent Thoughts

URL: https://arxiv.org/pdf/2503.18866

Reasoning To Learn From Latent Thoughts


QUESTION 1:

Can you give me a very clear explanation of the core assertions, implications, and mechanics elucidated in this paper?

ANSWER 1:

@thehunmonkgroup
thehunmonkgroup / summary.md
Created March 26, 2025 13:44
Summary: The Cybernetic Teammate: A Field Experiment On Generative Ai Reshaping Teamwork And Expertise

The Cybernetic Teammate: A Field Experiment On Generative Ai Reshaping Teamwork And Expertise


QUESTION 1:

Can you give me a very clear explanation of the core assertions, implications, and mechanics elucidated in this paper?

ANSWER 1:

@thehunmonkgroup
thehunmonkgroup / summary.md
Created March 24, 2025 22:24
Summary: Kblam: Knowledge Base Augmented Language Model

URL: https://arxiv.org/pdf/2410.10450

Kblam: Knowledge Base Augmented Language Model


QUESTION 1:

Can you give me a very clear explanation of the core assertions, implications, and mechanics elucidated in this paper?

ANSWER 1:

@thehunmonkgroup
thehunmonkgroup / summary.md
Created March 19, 2025 18:55
Summary: Retrieval-Augmented Generation With Hierarchical Knowledge

URL: https://arxiv.org/pdf/2503.10150

Retrieval-Augmented Generation With Hierarchical Knowledge


QUESTION 1:

Can you give me a very clear explanation of the core assertions, implications, and mechanics elucidated in this paper?

ANSWER 1:

@thehunmonkgroup
thehunmonkgroup / summary.md
Created March 17, 2025 16:51
Summary: Attentive Reasoning Queries: A Systematic Method For Optimizing Instruction-Following In Large Language Models

URL: https://arxiv.org/pdf/2503.03669

Attentive Reasoning Queries: A Systematic Method For Optimizing Instruction-Following In Large Language Models


QUESTION 1:

Can you give me a very clear explanation of the core assertions, implications, and mechanics elucidated in this paper?

ANSWER 1:

@thehunmonkgroup
thehunmonkgroup / summary.md
Created March 8, 2025 15:24
Summary: Phi-4-Mini Technical Report: Compact Yet Powerful Multimodal Language Models Via Mixture-Of-Loras

URL: https://arxiv.org/pdf/2503.01743

Phi-4-Mini Technical Report: Compact Yet Powerful Multimodal Language Models Via Mixture-Of-Loras


QUESTION 1:

Can you give me a very clear explanation of the core assertions, implications, and mechanics elucidated in this paper?

ANSWER 1:

@thehunmonkgroup
thehunmonkgroup / summary.md
Created March 8, 2025 15:21
Summary: Cognitive Behaviors That Enable Self-Improving Reasoners, Or, Four Habits Of Highly Effective Stars

URL: https://arxiv.org/pdf/2503.01307

Cognitive Behaviors That Enable Self-Improving Reasoners, Or, Four Habits Of Highly Effective Stars


QUESTION 1:

Can you give me a very clear explanation of the core assertions, implications, and mechanics elucidated in this paper?

ANSWER 1:

@thehunmonkgroup
thehunmonkgroup / summary.md
Created February 14, 2025 00:58
Summary: Large Memory Model (Lm2): A Memory-Augmented Transformer Architecture For Long Context Reasoning

URL: https://arxiv.org/pdf/2502.06049

Large Memory Model (Lm2): A Memory-Augmented Transformer Architecture For Long Context Reasoning


QUESTION 1:

Can you give me a very clear explanation of the core assertions, implications, and mechanics elucidated in this paper?

ANSWER 1:

@thehunmonkgroup
thehunmonkgroup / summary.md
Created February 8, 2025 15:16
Summary: Episodic Memories Generation And Evaluation Benchmark For Large Language Models

URL: https://arxiv.org/pdf/2501.13121v1

Episodic Memories Generation And Evaluation Benchmark For Large Language Models


QUESTION 1:

Can you give me a very clear explanation of the core assertions, implications, and mechanics elucidated in this paper?

ANSWER 1: