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China’s AI models have Trump’s AI world at war with itself
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories...
China has approved the world’s first invasive brain-computer chip—here’s what’s next
One day last October, sitting in the courtyard of his house in China’s Henan province...
Chemical Chain-of-Thought Functions as a Hallucination-Prone Molecular Scratchpad
arXiv:2607.20935v1 Announce Type: cross Abstract: Chemical reasoning language models are expected to derive molecular answers...
CHEER-Ekman: Fine-grained Embodied Emotion Classification
arXiv:2506.01047v1 Announce Type: new Abstract: Emotions manifest through physical experiences and bodily reactions, yet identifying...
ChatGPT Group Chats are here … but not for everyone (yet)
It was originally found in leaked code and publicized by AI influencers on X, but...
ChartHal: A Fine-grained Framework Evaluating Hallucination of Large Vision Language Models in Chart Understanding
arXiv:2509.17481v1 Announce Type: cross Abstract: Large Vision-Language Models (LVLMs) have recently demonstrated remarkable progress, yet...
ChartGaze: Enhancing Chart Understanding in LVLMs with Eye-Tracking Guided Attention Refinement
arXiv:2509.13282v1 Announce Type: new Abstract: Charts are a crucial visual medium for communicating and representing...
Character-aware Transformers Learn an Irregular Morphological Pattern Yet None Generalize Like Humans
arXiv:2602.14100v1 Announce Type: new Abstract: Whether neural networks can serve as cognitive models of morphological...
ChainReaction! Structured Approach with Causal Chains as Intermediate Representations for Improved and Explainable Causal Video Question Answering
arXiv:2508.21010v1 Announce Type: cross Abstract: Existing Causal-Why Video Question Answering (VideoQA) models often struggle with...
Chai Discovery Team Releases Chai-2: AI Model Achieves 16% Hit Rate in De Novo Antibody Design
TLDR: Chai Discovery Team introduces Chai-2, a multimodal AI model that enables zero-shot de novo...
Cerebras Releases MiniMax-M2-REAP-162B-A10B: A Memory Efficient Version of MiniMax-M2 for Long Context Coding Agents
Cerebras has released MiniMax-M2-REAP-162B-A10B, a compressed Sparse Mixture-of-Experts (SMoE) Causal Language Model derived from MiniMax-M2...
Causal2Vec: Improving Decoder-only LLMs as Versatile Embedding Models
arXiv:2507.23386v1 Announce Type: new Abstract: Decoder-only large language models (LLMs) are increasingly used to build...
