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arXiv:2602.08625v1 Announce Type: new Abstract: Multilingual large language models (LLMs) have gained significant popularity for their ability to process and...
arXiv:2602.04982v2 Announce Type: replace Abstract: With the increasing use of large language models (LLMs) for generating answers to biomedical questions,...
arXiv:2512.00884v2 Announce Type: replace-cross Abstract: A common and effective means for improving language model capabilities involves finetuning a “student” language...
arXiv:2602.08321v1 Announce Type: new Abstract: Solving open-ended science questions remains challenging for large language models, particularly due to inherently unreliable...
Imagine that you suddenly obtain a large collection of unclassified documents and are tasked with grouping them by topic.
arXiv:2602.06412v1 Announce Type: new Abstract: Masked Diffusion Language Models generate sequences via iterative sampling that progressively unmasks tokens. However, they...
arXiv:2511.19279v3 Announce Type: replace-cross Abstract: A cognitive map is an internal model which encodes the abstract relationships among entities in...
arXiv:2602.06384v1 Announce Type: new Abstract: Producing outputs that satisfy both semantic intent and format constraints is essential for deploying large...
In this tutorial, we show how we treat prompts as first-class, versioned artifacts and apply rigorous regression testing to large...
LexGenius: An Expert-Level Benchmark for Large Language Models in Legal General Intelligence
Leveraging Machine Learning to Identify Gendered Stereotypes and Body Image Concerns on Diet and Fitness Online Forums
Let’s Reason Formally: Natural-Formal Hybrid Reasoning Enhances LLM’s Math Capability
Lessons from the Field: An Adaptable Lifecycle Approach to Applied Dialogue Summarization
Less Is More for Multi-Step Logical Reasoning of LLM Generalisation Under Rule Removal, Paraphrasing, and Compression
Less Data, More Security: Advancing Cybersecurity LLMs Specialization via Resource-Efficient Domain-Adaptive Continuous Pre-training with Minimal Tokens
LegalEval-Q: A New Benchmark for The Quality Evaluation of LLM-Generated Legal Text
