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Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection

arXiv:2505.19010v2 Announce Type: replace-cross Abstract: Multi-modal learning has emerged as a crucial research direction, as...

CMCTS: A Constrained Monte Carlo Tree Search Framework for Mathematical Reasoning in Large Language Model

arXiv:2502.11169v2 Announce Type: replace Abstract: This paper introduces the Constrained Monte Carlo Tree Search (CMCTS)...

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...

CHEER-Ekman: Fine-grained Embodied Emotion Classification

arXiv:2506.01047v1 Announce Type: new Abstract: Emotions manifest through physical experiences and bodily reactions, yet identifying...

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...

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...

Catio wins ‘coolest tech’ award at VB Transform 2025

Catio also announced the upcoming launch of Archie, a conversational, multi-agent AI system.Read More...

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