Advancing artificial intelligence in fisheries requires novel cross-sector collaborations

K Wing, B Woodward - ICES Journal of Marine Science, 2024 - academic.oup.com
Artificial intelligence, or AI, has the potential to dramatically improve our understanding and
management of the ocean. For fisheries, these benefits could include greater monitoring …

MM-Eval: A Multilingual Meta-Evaluation Benchmark for LLM-as-a-Judge and Reward Models

G Son, D Yoon, J Suk, J Aula-Blasco, M Aslan… - arxiv preprint arxiv …, 2024 - arxiv.org
Large language models (LLMs) are commonly used as evaluators in tasks (eg, reward
modeling, LLM-as-a-judge), where they act as proxies for human preferences or judgments …

DnA-Eval: Enhancing Large Language Model Evaluation through Decomposition and Aggregation

M Li, Z Liu, S Deng, S Joty, N Chen… - Proceedings of the 31st …, 2025 - aclanthology.org
Abstract The acceleration of Large Language Models (LLMs) research has opened up new
possibilities for evaluating generated text. Though LLMs serve as scalable and economical …

Geohistorical insights into marine functional connectivity

K Agiadi, BA Caswell, R Almeida… - ICES Journal of …, 2024 - academic.oup.com
Marine functional connectivity (MFC) refers to the flows of organic matter, genes, and energy
that are caused by the active and passive movements of marine organisms. Occurring at …

Towards Inducing Document-Level Abilities in Standard Multilingual Neural Machine Translation Models

V Gumma, PA Chitale, K Bali - arxiv preprint arxiv:2408.11382, 2024 - arxiv.org
Neural Machine Translation (NMT) models have traditionally used Sinusoidal Positional
Embeddings (PEs), which often struggle to capture long-range dependencies and are less …

Evaluation of LLM Vulnerabilities to Being Misused for Personalized Disinformation Generation

A Zugecova, D Macko, I Srba, R Moro, J Kopal… - arxiv preprint arxiv …, 2024 - arxiv.org
The capabilities of recent large language models (LLMs) to generate high-quality content
indistinguishable by humans from human-written texts rises many concerns regarding their …

Analysis of Indic Language Capabilities in LLMs

A Vaidya, T Prabhakar, D George, S Shah - arxiv preprint arxiv …, 2025 - arxiv.org
This report evaluates the performance of text-in text-out Large Language Models (LLMs) to
understand and generate Indic languages. This evaluation is used to identify and prioritize …