CipherBank: Exploring the Boundary of LLM Reasoning Capabilities through Cryptography Challenges
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2504.19093
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Published
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16
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hesamation
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post-training / reasonign models / RAG
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I really like how this seven-stage pipeline was laid out in the Ultimate Guide to Fine-Tuning book.
It gives an overview, then goes into detail for each stage, even providing best practices.
It’s 115 pages on arxiv, definitely worth a read.
Check it out: https://arxiv.org/abs/2408.13296
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update
5 days ago
I really like how this seven-stage pipeline was laid out in the Ultimate Guide to Fine-Tuning book.
It gives an overview, then goes into detail for each stage, even providing best practices.
It’s 115 pages on arxiv, definitely worth a read.
Check it out: https://arxiv.org/abs/2408.13296
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Skywork R1V2: Multimodal Hybrid Reinforcement Learning for Reasoning
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2504.16656
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56
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
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2504.13837
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126
WORLDMEM: Long-term Consistent World Simulation with Memory
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2504.12369
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Published
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34
upvoted
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about 2 months ago
Genius: A Generalizable and Purely Unsupervised Self-Training Framework For Advanced Reasoning
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2504.08672
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55
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
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2504.10479
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266
Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems
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2504.01990
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Published
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281
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