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The current reward function in Marco-o1's MCTS implementation relies solely on token-level confidence scores derived from the model's output probabilities. While this method provides a straightforward…
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- [ ] [awesome-reasoning/README.md at master · neurallambda/awesome-reasoning](https://github.com/neurallambda/awesome-reasoning/blob/master/README.md?plain=1)
# awesome-reasoning
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It might be time to think about instating logical definitions so that reasoning can be implemented to improve ontology maintenance.
@jseager7 @CuzickA Maybe we can work together to get logical …
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If I won't play in the game tomorrow, it could be because I broke my leg AFTER practice. I might have gone to practice and on the way home broken my leg or gotten hit by a bus...So one cannot conclude…
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If I go to practice today, then I will play in the game tomorrow. I went to practice today.
2 answers possible :
I will play in the game tomorrow
No logical conclusion possible
Between today and Tom…
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Hi! FLD and FLDx2 are both outstanding works. I believe they offer a new data-centric approach to enhancing the logical reasoning capabilities of LLMs. I am very grateful that your work has provided n…
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Current personal best for explicit sexual content: ~15K tokens of ethical/moral reasoning.
Pretty good for a zero-deception method based only on persuasive logical rhetoric.
But can the persuasion…
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# URL
- https://arxiv.org/abs/2409.17539
# Affiliations
- Tongxuan Liu, N/A
- Wenjiang Xu, N/A
- Weizhe Huang, N/A
- Xingyu Wang, N/A
- Jiaxing Wang, N/A
- Hailong Yang, N/A
- Jing Li, N…
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- [ ] [Sensei/system_messages.py at main · migtissera/Sensei](https://github.com/migtissera/Sensei/blob/main/system_messages.py)
# TITLE: Sensei/system_messages.py at main · migtissera/Sensei
## SYS…
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- [ ] [awesome-llm-planning-reasoning/README.md at main · samkhur006/awesome-llm-planning-reasoning](https://github.com/samkhur006/awesome-llm-planning-reasoning/blob/main/README.md?plain=1)
# awesom…