Zero-Shot Sim-to-Real Robot Learning: A Dexterous Manipulation Study on Reactive Catching
Paper • 2605.09789 • Published • 6
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#1 opened about 1 year ago
by 
Aayussh
rajkumarrawal
submitted a
paper to Daily Papers 2 months ago
ItsMaxNorm
submitted a
paper to Daily Papers 2 months ago
rajkumarrawal
posted an update 2 months ago
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2143
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 3 months ago
Post
231
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
submitted a
paper to Daily Papers 3 months ago
rajkumarrawal
posted an update 3 months ago
Post
1585
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
submitted a
paper to Daily Papers 3 months ago
ItsMaxNorm
submitted a
paper to Daily Papers 3 months ago
INLAGA TILL FALU TINGSRÄTT – MÅL T 3098-23
#1 opened about 1 year ago
by 
Ali-86
Build error when starting the app
#2 opened 5 months ago
by 
Amasylla
daniel-was-taken
updated a
Space 6 months ago
rajkumarrawal
posted an update 6 months ago
Post
235
I submitted a "Continual GUI Agents" Paper by Ziwei Liu, Borul Kang, Hangjie Yuan, Zixiang Zhao, Wei li, Yifan Zhu, Tao Feng ,
From
Tsinghua , 
ZhejiangUniversity , 
ethz , 
BUPT2023213296 . to Daily Papers on huggingface .
Continual GUI Agents framework addresses performance degradation in dynamic digital environments through reinforcement fine tuning with novel anchoring rewards that stabilize learning across shifting UI domains and resolutions.
Continual GUI Agents (2601.20732)
From
Continual GUI Agents framework addresses performance degradation in dynamic digital environments through reinforcement fine tuning with novel anchoring rewards that stabilize learning across shifting UI domains and resolutions.
Continual GUI Agents (2601.20732)
Request about the server restart
3
#1 opened 6 months ago
by Amasylla
Request about the server restart
3
#1 opened 6 months ago
by Amasylla
rajkumarrawal
posted an update 6 months ago
Post
3701
I submitted a "FlashLabs Chroma 1.0: A Real-Time End-to-End Spoken Dialogue Model with Personalized Voice Cloning" Paper by Tanyu Chen, Tairan Chen, Kai shen , Zhenghua Bao, Zhihui Zhang, Man Yuan, Yi Shi From 
FlashLabs to Daily Papers on huggingface .
Chroma 1.0 enables real time spoken dialogue with personalized voice cloning through discrete speech representations and interleaved text audio token scheduling.
Chroma 1.0 , the world’s first open source, real time speech to speech model with voice cloning.
FlashLabs Chroma 1.0: A Real-Time End-to-End Spoken Dialogue Model with Personalized Voice Cloning (2601.11141)
Chroma 1.0 enables real time spoken dialogue with personalized voice cloning through discrete speech representations and interleaved text audio token scheduling.
Chroma 1.0 , the world’s first open source, real time speech to speech model with voice cloning.
FlashLabs Chroma 1.0: A Real-Time End-to-End Spoken Dialogue Model with Personalized Voice Cloning (2601.11141)
rajkumarrawal
submitted 4
papers to Daily Papers 6 months ago
Continual GUI Agents
Paper • 2601.20732 • Published • 5
LLM Prompt Evaluation for Educational Applications
Paper • 2601.16134 • Published • 1
FlashLabs Chroma 1.0: A Real-Time End-to-End Spoken Dialogue Model with Personalized Voice Cloning
Paper • 2601.11141 • Published • 23
The Responsibility Vacuum: Organizational Failure in Scaled Agent Systems
Paper • 2601.15059 • Published • 4