https://ahren09.github.io/tags/survey/SurveyHugo Blox Builder (https://hugoblox.com)en-usSat, 01 Nov 2025 00:00:00 +0000https://ahren09.github.io/media/icon_hu_eee6347cbdb2cc3f.pnghttps://ahren09.github.io/tags/survey/https://ahren09.github.io/publication/emnlp25_protein_llm_survey/Sat, 01 Nov 2025 00:00:00 +0000https://ahren09.github.io/publication/emnlp25_protein_llm_survey/<h2 id="abstract">Abstract</h2> <p>Protein large language models (Protein LLMs) have rapidly emerged as a transformative paradigm for protein understanding, generation, and design. This survey provides a comprehensive overview of Protein LLMs, organizing the field along architectures, training objectives, datasets, downstream tasks, and applications across biology, chemistry, and medicine.</p> <h2 id="links">Links</h2> <ul> <li> </li> </ul>https://ahren09.github.io/publication/aie_llm_ethics/Wed, 13 Aug 2025 00:00:00 +0000https://ahren09.github.io/publication/aie_llm_ethics/<h2 id="abstract">Abstract</h2> <p>This survey deconstructs the ethics of large language models, mapping long-standing issues such as bias and misinformation to newly emerging dilemmas including agentic behavior, environmental cost, and cross-cultural alignment.</p> <h2 id="links">Links</h2> <ul> <li> </li> <li> </li> </ul>https://ahren09.github.io/publication/acl25_efficient_llm_training/Thu, 31 Jul 2025 00:00:00 +0000https://ahren09.github.io/publication/acl25_efficient_llm_training/<h2 id="abstract">Abstract</h2> <p>Efficient training of large language models has become a central concern as model and data scales grow. This survey reviews efficient LLM training from a data-centric perspective, organizing techniques around data selection, mixing, ordering, and synthesis.</p> <h2 id="links">Links</h2> <ul> <li> </li> </ul>