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thehunmonkgroup / summary.md
Created May 25, 2025 19:53
Summary: Large Language Models Are More Persuasive Than Incentivized Human Persuaders

URL: https://arxiv.org/pdf/2505.09662

Large Language Models Are More Persuasive Than Incentivized Human Persuaders


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 May 25, 2025 16:42
Summary: Parallel Scaling Law For Language Models

URL: https://arxiv.org/pdf/2505.10475

Parallel Scaling Law For 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 May 24, 2025 17:19
Summary: Group Think: Multiple Concurrent Reasoning Agents Collaborating At Token Level Granularity

URL: https://arxiv.org/abs/2505.11107

Group Think: Multiple Concurrent Reasoning Agents Collaborating At Token Level Granularity


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 May 21, 2025 17:15
Summary: Llms Are Greedy Agents: Effects Of Rl Fine-Tuning On Decision-Making Abilities

URL: https://arxiv.org/abs/2504.16078

Llms Are Greedy Agents: Effects Of Rl Fine-Tuning On Decision-Making Abilities


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 May 17, 2025 15:27
Summary: Llms Get Lost In Multi-Turn Conversation

URL: https://arxiv.org/abs/2505.06120

Llms Get Lost In Multi-Turn Conversation


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 May 8, 2025 15:11
Summary: 34 Examples Of Llm Applications In Materials Science And Chemistry: Towards Automation, Assistants, Agents, And Accelerated Scientific Discovery

URL: https://arxiv.org/pdf/2505.03049

34 Examples Of Llm Applications In Materials Science And Chemistry: Towards Automation, Assistants, Agents, And Accelerated Scientific Discovery


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 May 8, 2025 15:05
Summary: Absolute Zero: Reinforced Self-Play Reasoning With Zero Data

URL: https://arxiv.org/pdf/2505.03335

Absolute Zero: Reinforced Self-Play Reasoning With Zero Data


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 May 8, 2025 14:58
Summary: On The Generalization Of Language Models From In-Context Learning And Finetuning: A Controlled Study

URL: https://arxiv.org/abs/2505.00661

On The Generalization Of Language Models From In-Context Learning And Finetuning: A Controlled Study


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 May 8, 2025 14:51
Summary: New News: System-2 Fine-Tuning For Robust Integration Of New Knowledge

URL: https://arxiv.org/pdf/2505.01812

New News: System-2 Fine-Tuning For Robust Integration Of New 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 May 8, 2025 14:26
Summary: Avoid Recommending Out-Of-Domain Items: Constrained Generative Recommendation With Llms

URL: https://arxiv.org/pdf/2505.03336

Avoid Recommending Out-Of-Domain Items: Constrained Generative Recommendation With Llms


QUESTION 1:

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

ANSWER 1: