ChronoLens: Measuring Language Change Across Time, Languages, and Linguistic Levels
Paper • 2608.03507 • Published • 5
AI & ML interests
Nanochat, fine-tuning, LLMs, post-training
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Fix TRL SFT notebook link (path moved in huggingface/trl#6820)
#7 opened about 2 months ago
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sergiopaniego
gagan3012
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ahan2000
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ahan2000
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gagan3012
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gagan3012
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rajkumarrawal
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rajkumarrawal
posted an update 5 months ago
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LLMs aren’t just answering questions anymore, they’re learning to evolve. Self evolving AI is the true endgame.
AI has shifted from short tasks to long missions. The breakthrough isn’t just automation, it’s machines learning human methods and applying them at machine speed. From cybersecurity to finance, from OPCs to NPCs, the wave is irreversible.
Read the full article: Self Evolving is the Endgame or final destiny
https://huggingface.co/blog/rajkumarrawal/self-evolving-is-the-endgame-or-final-destiny
What’s your definition of true AGI? Comment below.
AI has shifted from short tasks to long missions. The breakthrough isn’t just automation, it’s machines learning human methods and applying them at machine speed. From cybersecurity to finance, from OPCs to NPCs, the wave is irreversible.
Read the full article: Self Evolving is the Endgame or final destiny
https://huggingface.co/blog/rajkumarrawal/self-evolving-is-the-endgame-or-final-destiny
What’s your definition of true AGI? Comment below.
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rajkumarrawal
posted an update 5 months ago
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236
I submitted a "Learning to Act and Cooperate for Distributed Black-Box Consensus Optimization" Paper by Zi-Bo Qin, Feng-Feng Wei, Tai-You Chen, Wei-Neng Chen to Daily Papers on huggingface.
A trajectory-driven framework uses large language models to guide agent behavior and cooperation patterns in distributed black-box consensus optimization, improving solution quality and efficiency.
Learning to Act and Cooperate for Distributed Black-Box Consensus Optimization (2605.00691)
A trajectory-driven framework uses large language models to guide agent behavior and cooperation patterns in distributed black-box consensus optimization, improving solution quality and efficiency.
Learning to Act and Cooperate for Distributed Black-Box Consensus Optimization (2605.00691)
rajkumarrawal
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gagan3012
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pandeyps
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rajkumarrawal
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I submitted a "Context-Value-Action Architecture for Value-Driven Large Language Model Agents" Paper by TianZe Zhang, Sirui Sun, Yuhang Xie, Xin Zhang Zhiqiang Wu Guojie Song· From 
PekingUniversity to Daily Papers on 
huggingface .
Large language models exhibit behavioral rigidity that worsens with intensified reasoning, prompting the development of a Context-Value-Action architecture that decouples action generation from cognitive reasoning using a Value Verifier trained on human data.
Context-Value-Action Architecture for Value-Driven Large Language Model Agents (2604.05939)
Large language models exhibit behavioral rigidity that worsens with intensified reasoning, prompting the development of a Context-Value-Action architecture that decouples action generation from cognitive reasoning using a Value Verifier trained on human data.
Context-Value-Action Architecture for Value-Driven Large Language Model Agents (2604.05939)
rajkumarrawal
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paper to Daily Papers 6 months ago
gagan3012
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gagan3012
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