The Research Desk.

The most upvoted and starred AI research crossing the community today.

Last Updated: Apr 22, 2026, 9:41 AM PT

X.com Research Buzz

The AI Layoff Trap
X.com
13948

The AI Layoff Trap

Brett Hemenway Falk, Gerry Tsoukalas

Agents of Chaos
X.com
3462

Agents of Chaos

Natalie Shapira, Chris Wendler, Avery Yen +5 more

#reinforcement-learning
Language models transmit behavioural traits through subliminal learning
X.com
3257

Language models transmit behavioural traits through subliminal learning

Alex Cloud, Minh Le, James Chua +2 more

#nlp

AlphaXiv Trending

Qwen3.5-Omni Technical Report
AlphaXiv
90

Qwen3.5-Omni Technical Report

Qwen Team

#alphaxiv
Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence
AlphaXiv
58

Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence

Guanting Dong, Junting Lu, Junjie Huang

#reinforcement-learning#alphaxiv
LLM Reasoning Is Latent, Not the Chain of Thought
AlphaXiv
35

LLM Reasoning Is Latent, Not the Chain of Thought

Wenshuo Wang

#nlp#reasoning#alphaxiv
OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation
AlphaXiv
29

OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation

Jinghui Lu, Jiayi Guan, Zhijian Huang

#computer-vision#reinforcement-learning#reasoning#alphaxiv
Do Vision-Language Models Truly Perform Vision Reasoning? A Rigorous Study of the Modality Gap
AlphaXiv
26

Do Vision-Language Models Truly Perform Vision Reasoning? A Rigorous Study of the Modality Gap

Yige Xu, Yongjie Wang, Zizhuo Wu

#nlp#computer-vision#reasoning#alphaxiv
MultiWorld: Scalable Multi-Agent Multi-View Video World Models
AlphaXiv
24

MultiWorld: Scalable Multi-Agent Multi-View Video World Models

Haoyu Wu, Jiwen Yu, Yingtian Zou

#computer-vision#reinforcement-learning#alphaxiv

HuggingFace Daily Papers

CityRAG: Stepping Into a City via Spatially-Grounded Video Generation
HuggingFace
5

CityRAG: Stepping Into a City via Spatially-Grounded Video Generation

Gene Chou, Charles Herrmann, Kyle Genova +2 more

#computer-vision#retrieval
RDP LoRA: Geometry-Driven Identification for Parameter-Efficient Adaptation in Large Language Models
HuggingFace
4

RDP LoRA: Geometry-Driven Identification for Parameter-Efficient Adaptation in Large Language Models

Yusuf Çelebi, Yağız Asker, Özay Ezerceli +2 more

#nlp#efficiency
Accurate and scalable exchange-correlation with deep learning
HuggingFace
2

Accurate and scalable exchange-correlation with deep learning

Giulia Luise, Chin-Wei Huang, Thijs Vogels +2 more

#machine-learning#microsoft
Micro Language Models Enable Instant Responses
HuggingFace
1

Micro Language Models Enable Instant Responses

Wen Cheng, Tuochao Chen, Karim Helwani +2 more

#nlp#Sensente
What Makes an LLM a Good Optimizer? A Trajectory Analysis of LLM-Guided Evolutionary Search
HuggingFace
1

What Makes an LLM a Good Optimizer? A Trajectory Analysis of LLM-Guided Evolutionary Search

Xinhao Zhang, Xi Chen, François Portet +1 more

#nlp#retrieval#XINHAO-ZHANG
MoVE: Translating Laughter and Tears via Mixture of Vocalization Experts in Speech-to-Speech Translation
HuggingFace
0

MoVE: Translating Laughter and Tears via Mixture of Vocalization Experts in Speech-to-Speech Translation

Szu-Chi Chen, I-Ning Tsai, Yi-Cheng Lin +2 more

#speech-audio#47zzz