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A Tale of Two Scripts: Transliteration and Post-Correction for Judeo-Arabic

arXiv:2507.04746v2 Announce Type: replace Abstract: Judeo-Arabic refers to Arabic variants historically spoken by Jewish communities...

A Systematic Study of Pseudo-Relevance Feedback with LLMs

arXiv:2603.11008v1 Announce Type: cross Abstract: Pseudo-relevance feedback (PRF) methods built on large language models (LLMs)...

A Systematic Literature Review of Retrieval-Augmented Generation: Techniques, Metrics, and Challenges

arXiv:2508.06401v3 Announce Type: replace-cross Abstract: This systematic review of the research literature on retrieval-augmented generation...

A Survey on Unlearning in Large Language Models

arXiv:2510.25117v1 Announce Type: new Abstract: The advancement of Large Language Models (LLMs) has revolutionized natural...

A Survey on Training-free Alignment of Large Language Models

arXiv:2508.09016v1 Announce Type: new Abstract: The alignment of large language models (LLMs) aims to ensure...

A Survey on Latent Reasoning

arXiv:2507.06203v2 Announce Type: replace Abstract: Large Language Models (LLMs) have demonstrated impressive reasoning capabilities, especially...

A Survey on (M)LLM-Based GUI Agents

arXiv:2504.13865v2 Announce Type: replace-cross Abstract: Graphical User Interface (GUI) Agents have emerged as a transformative...

A Survey of Context Engineering for Large Language Models

arXiv:2507.13334v1 Announce Type: new Abstract: The performance of Large Language Models (LLMs) is fundamentally determined...

A Survey of Classification Tasks and Approaches for Legal Contracts

arXiv:2507.21108v1 Announce Type: new Abstract: Given the large size and volumes of contracts and their...

A Simple Ensemble Strategy for LLM Inference: Towards More Stable Text Classification

arXiv:2504.18884v2 Announce Type: replace Abstract: With the advance of large language models (LLMs), LLMs have...

A Rigorous Evaluation of LLM Data Generation Strategies for Low-Resource Languages

arXiv:2506.12158v3 Announce Type: replace Abstract: Large Language Models (LLMs) are increasingly used to generate synthetic...

A new paradigm for AI: How ‘thinking as optimization’ leads to better general-purpose models

A new AI model learns to “think” longer on hard problems, achieving more robust reasoning...

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