Topic Modeling


Topic modeling is a type of statistical modeling for discovering the abstract topics that occur in a collection of documents.

From Generation to Detection: A Multimodal Multi-Task Dataset for Benchmarking Health Misinformation

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May 24, 2025
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Hydra: Structured Cross-Source Enhanced Large Language Model Reasoning

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May 23, 2025
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Exploring the generalization of LLM truth directions on conversational formats

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May 14, 2025
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MedScore: Factuality Evaluation of Free-Form Medical Answers

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May 24, 2025
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ToxicTone: A Mandarin Audio Dataset Annotated for Toxicity and Toxic Utterance Tonality

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May 21, 2025
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Surfacing Semantic Orthogonality Across Model Safety Benchmarks: A Multi-Dimensional Analysis

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May 23, 2025
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An Empirical Study of OpenAI API Discussions on Stack Overflow

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May 07, 2025
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Low-Resource Language Processing: An OCR-Driven Summarization and Translation Pipeline

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May 16, 2025
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Do Large Language Models (Really) Need Statistical Foundations?

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May 25, 2025
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LECTOR: Summarizing E-book Reading Content for Personalized Student Support

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May 12, 2025
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