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thehunmonkgroup / summary.md
Created August 26, 2025 23:33
Summary: **jet-Nemotron: Efficient Language Model With Post Neural Architecture Search**

URL: https://arxiv.org/pdf/2508.15884v1

jet-Nemotron: Efficient Language Model With Post Neural Architecture Search


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 August 12, 2025 16:33
Summary: **improving Factuality In Reasoning Large Language Models Through Online Reinforcement Learning**

URL: https://arxiv.org/pdf/2508.05618

improving Factuality In Reasoning Large Language Models Through Online 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 July 15, 2025 18:41
Summary: Machine Bullshit: Characterizing The Emergent Disregard For Truth In Large Language Models

URL: https://arxiv.org/pdf/2507.07484

Machine Bullshit: Characterizing The Emergent Disregard For Truth 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 July 15, 2025 18:35
Summary: Fractional Reasoning Via Latent Steering Vectors Improves Inference Time Compute

URL: https://arxiv.org/pdf/2506.15882

Fractional Reasoning Via Latent Steering Vectors Improves Inference Time Compute


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 July 8, 2025 23:10
Summary: Evaluating Structured Output Robustness Of Small Language Models For Open Attribute-Value Extraction From Clinical Notes

URL: https://arxiv.org/pdf/2507.01810

Evaluating Structured Output Robustness Of Small Language Models For Open Attribute-Value Extraction From Clinical Notes


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 July 8, 2025 22:59
Summary: Prompt Patterns For Structured Data Extraction From Unstructured Text

Prompt Patterns For Structured Data Extraction From Unstructured Text


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 June 18, 2025 13:58
Summary: Self-Adapting Language Models

URL: https://arxiv.org/pdf/2506.10943

Self-Adapting 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 June 18, 2025 13:56
Summary: Cort: Code-Integrated Reasoning Within Thinking

URL: https://arxiv.org/pdf/2506.09820

Cort: Code-Integrated Reasoning Within Thinking


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 June 18, 2025 13:54
Summary: Execution Guided Line-By-Line Code Generation

URL: https://arxiv.org/pdf/2506.10948

Execution Guided Line-By-Line Code Generation


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 June 15, 2025 15:22
Summary: Unsupervised Elicitation Of Language Models