新闻
Cloud quantum computing: A trillion-dollar opportunity with dangerous hidden risks
GUEST: Quantum computing (QC) brings with it a mix of groundbreaking possibilities and significant risks...
CitySim: Modeling Urban Behaviors and City Dynamics with Large-Scale LLM-Driven Agent Simulation
arXiv:2506.21805v1 Announce Type: cross Abstract: Modeling human behavior in urban environments is fundamental for social...
Chunking vs. Tokenization: Key Differences in AI Text Processing
Table of contents Introduction What is Tokenization? What is Chunking? The Key Differences That Matter...
ChronoPlay: A Framework for Modeling Dual Dynamics and Authenticity in Game RAG Benchmarks
arXiv:2510.18455v1 Announce Type: new Abstract: Retrieval Augmented Generation (RAG) systems are increasingly vital in dynamic...
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...
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...
