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arXiv:2603.09704v1 Announce Type: new Abstract: In this article, we evaluate four Large Language Models (LLMs) and their effectiveness at retrieving data within a specialized Retrieval-Augmented …
arXiv:2603.09723v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used across the scientific workflow, including to draft peer-review reports. However, many AI-generated reviews …
arXiv:2603.09758v1 Announce Type: new Abstract: Standardizing food terms from product labels and menus into ontology concepts is a prerequisite for trustworthy dietary assessment and safety …
arXiv:2603.09785v1 Announce Type: new Abstract: This paper introduces an updated and combined version of the bidirectional English-German EPIC-UdS (spoken) and EuroParl-UdS (written) corpora containing original …
arXiv:2603.09821v1 Announce Type: new Abstract: Reliable evaluation is essential for developing and deploying large language models, yet in practice it often requires substantial manual effort: …
arXiv:2603.09835v1 Announce Type: new Abstract: Sequential multi-agent reasoning frameworks such as Chain-of-Agents (CoA) handle long-context queries by decomposing inputs into chunks and processing them sequentially …
arXiv:2603.09872v1 Announce Type: new Abstract: Recent work has found that contemporary language models such as transformers can become so good at next-word prediction that the …
arXiv:2603.09881v1 Announce Type: new Abstract: Speech Large Language Models (SLLMs) have rapidly expanded, supporting a wide range of tasks. These models are typically evaluated using …
arXiv:2603.09884v1 Announce Type: new Abstract: Concerns persist regarding the capacity of Large Language Models (LLMs) to sway political views. Although prior research has claimed that …
arXiv:2603.09906v1 Announce Type: new Abstract: While reasoning in LLMs plays a natural role in math, code generation, and multi-hop factual questions, its effect on simple, …
arXiv:2603.09938v1 Announce Type: new Abstract: Model merging has emerged as a transformative paradigm for combining the capabilities of multiple neural networks into a single unified …
arXiv:2603.09970v1 Announce Type: new Abstract: A key component of creativity is associative reasoning: the ability to draw novel yet meaningful connections between concepts. We introduce …