YouZum

ニュース

ニュース

CSCBench: A PVC Diagnostic Benchmark for Commodity Supply Chain Reasoning

arXiv:2601.01825v1 Announce Type: new Abstract: Large Language Models (LLMs) have achieved remarkable success in general...

Cross-modal RAG: Sub-dimensional Text-to-Image Retrieval-Augmented Generation

arXiv:2505.21956v3 Announce Type: replace-cross Abstract: Text-to-image generation increasingly demands access to domain-specific, fine-grained, and rapidly...

Cross-Lingual Summarization as a Black-Box Watermark Removal Attack

arXiv:2510.24789v1 Announce Type: new Abstract: Watermarking has been proposed as a lightweight mechanism to identify...

Cross-lingual Opinions and Emotions Mining in Comparable Documents

arXiv:2508.03112v1 Announce Type: new Abstract: Comparable texts are topic-aligned documents in multiple languages that are...

Cross-Examination Framework: A Task-Agnostic Diagnostic for Information Fidelity in Text-to-Text Generation

arXiv:2601.19350v1 Announce Type: new Abstract: Traditional metrics like BLEU and BERTScore fail to capture semantic...

Cross-Domain Data Selection and Augmentation for Automatic Compliance Detection

arXiv:2604.21469v1 Announce Type: new Abstract: Automating the detection of regulatory compliance remains a challenging task...

Credal Transformer: A Principled Approach for Quantifying and Mitigating Hallucinations in Large Language Models

arXiv:2510.12137v1 Announce Type: new Abstract: Large Language Models (LLMs) hallucinate, generating factually incorrect yet confident...

Creativity in AI: Progresses and Challenges

arXiv:2410.17218v5 Announce Type: replace-cross Abstract: Creativity is the ability to produce novel, useful, and surprising...

Counting Clues: A Lightweight Probabilistic Baseline Can Match an LLM

arXiv:2512.12868v1 Announce Type: new Abstract: Large language models (LLMs) excel on multiple-choice clinical diagnosis benchmarks...

Counterfactual LLM-based Framework for Measuring Rhetorical Style

arXiv:2512.19908v1 Announce Type: new Abstract: The rise of AI has fueled growing concerns about “hype”...

CoT-UQ: Improving Response-wise Uncertainty Quantification in LLMs with Chain-of-Thought

arXiv:2502.17214v2 Announce Type: replace Abstract: Large language models (LLMs) excel in many tasks but struggle...

We use cookies to improve your experience and performance on our website. You can learn more at プライバシーポリシー and manage your privacy settings by clicking Settings.

Privacy Preferences

You can choose your cookie settings by turning on/off each type of cookie as you wish, except for essential cookies.

Allow All
Manage Consent Preferences
  • Always Active

Save
ja