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Enhancing Robustness of Autoregressive Language Models against Orthographic Attacks via Pixel-based Approach

arXiv:2508.21206v1 Announce Type: new Abstract: Autoregressive language models are vulnerable to orthographic attacks, where input...

Enhancing multimodal analogical reasoning with Logic Augmented Generation

arXiv:2504.11190v2 Announce Type: replace-cross Abstract: Recent advances in Large Language Models have demonstrated their capabilities...

Enhancing Large Language Models for Mobility Analytics with Semantic Location Tokenization

arXiv:2506.11109v1 Announce Type: new Abstract: The widespread adoption of location-based services has led to the...

Enhancing Hindi NER in Low Context: A Comparative study of Transformer-based models with vs. without Retrieval Augmentation

arXiv:2507.16002v1 Announce Type: new Abstract: One major challenge in natural language processing is named entity...

Enhancing Automatic Term Extraction with Large Language Models via Syntactic Retrieval

arXiv:2506.21222v1 Announce Type: new Abstract: Automatic Term Extraction (ATE) identifies domain-specific expressions that are crucial...

Energy Landscapes Enable Reliable Abstention in Retrieval-Augmented Large Language Models for Healthcare

arXiv:2509.04482v1 Announce Type: new Abstract: Reliable abstention is critical for retrieval-augmented generation (RAG) systems, particularly...

End-to-End Forecasting with TimesFM 2.5: Backtesting, Covariates, Anomaly Detection, and Scalable Colab Deployment

In this tutorial, we build an advanced end-to-end time-series forecasting workflow with TimesFM 2.5. We...

End-to-End Aspect-Guided Review Summarization at Scale

arXiv:2509.26103v1 Announce Type: new Abstract: We present a scalable large language model (LLM)-based system that...

Encoders and Decoders in Transformer Models

This article is divided into three parts; they are: • Full Transformer Models: Encoder-Decoder Architecture...

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