Topic Modeling


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

Generating Grounded Responses to Counter Misinformation via Learning Efficient Fine-Grained Critiques

Add code
Jun 06, 2025
Viaarxiv icon

Joint Channel and Symbol Estimation for Communication Systems with Movable Antennas

Add code
Jun 08, 2025
Viaarxiv icon

Tell, Don't Show: Leveraging Language Models' Abstractive Retellings to Model Literary Themes

Add code
May 29, 2025
Viaarxiv icon

The cost of ensembling: is it always worth combining?

Add code
Jun 05, 2025
Viaarxiv icon

Flexible Operator Fusion for Fast Sparse Transformer with Diverse Masking on GPU

Add code
Jun 06, 2025
Viaarxiv icon

RAID: A Dataset for Testing the Adversarial Robustness of AI-Generated Image Detectors

Add code
Jun 09, 2025
Viaarxiv icon

On the Merits of LLM-Based Corpus Enrichment

Add code
Jun 06, 2025
Viaarxiv icon

Beyond Facts: Evaluating Intent Hallucination in Large Language Models

Add code
Jun 06, 2025
Viaarxiv icon

Cyber Security of Sensor Systems for State Sequence Estimation: an AI Approach

Add code
Jun 06, 2025
Viaarxiv icon

Graph-KV: Breaking Sequence via Injecting Structural Biases into Large Language Models

Add code
Jun 09, 2025
Viaarxiv icon