From the 9 of 249 papers with an AI index.
150 citations
- Tsinghua UniversityCN66 papers
- University of Science and Technology of ChinaCN61 papers
- Beihang UniversityCN60 papers
- Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di FrascatiIT60 papers
- Nanjing Normal UniversityCN60 papers
- National Centre for Nuclear ResearchPL59 papers
- Peking UniversityCN59 papers
- South China Normal UniversityCN59 papers
- University of BristolGB59 papers
- University of TarapacáCL59 papers
- University of TurinIT59 papers
- Zhejiang UniversityCN59 papers
8 papers · 1 filter
Generative AI and linguistic diversity in academic writing and publishing: Perspectives from World Englishes
Kingsley Ugwuanyi, Christian Mair, Sender Dovchin +3
The paper examines how generative AI tools affect linguistic diversity in academic writing, discussing both the risk of marginalising non‑standard English varieties and the potenti…
Overcoming Language Barriers: Multilingual Analysis of the 2023 Swiss Privacy Law's Impact
Luka Nenadic, David Rodriguez, Joseph A. Calandrino
The paper presents an LLM-based pipeline that extracts legally relevant information from multilingual privacy policies and uses it to assess how Switzerland's 2023 privacy law alig…
Hallucination Detection in Large Language Models Using Diversion Decoding
Basel Abdeen, S M Tahmid Siddiqui, Meah Tahmeed Ahmed +4
Large language models (LLMs) have emerged as a powerful tool for retrieving knowledge through seamless, human-like interactions. Despite their advanced text generation capabilities…
Understanding the Sociocultural Dimensions of Mental Health Discourse in Arabic-Language X Communities
Amal Alqahtani, Rana Salama, Mona Diab
Computational mental health research has predominantly centered on English-speaking populations, leaving Arabic-language discourse comparatively under-examined. We present an explo…
Safeguarding LLM Agents from Misalignment through Provenance Analysis
Yining She, Yiliang Liang, Eunsuk Kang
As LLM agents gain increasing access to powerful tools, ensuring that their actions align with the user's intent becomes critical. When an agent's proposed action deviates from tha…
LTRR: Learning To Rank Retrievers for LLMs
To Eun Kim, Fernando Diaz
Retrieval-Augmented Generation (RAG) systems typically rely on a single fixed retriever, despite growing evidence that no single retriever performs optimally across all query types…