#natural-language-processing6 articles

6 articles

AIBullisharXiv – CS AI · 4h ago3

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SleepLM: Natural-Language Intelligence for Human Sleep

Researchers have developed SleepLM, a family of AI foundation models that combine natural language processing with sleep analysis using polysomnography data. The system can interpret and describe sleep patterns in natural language, trained on over 100K hours of sleep data from 10,000+ individuals, enabling new capabilities like language-guided sleep event detection and zero-shot generalization to novel sleep analysis tasks.

AIBullisharXiv – CS AI · 4h ago4

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Hello-Chat: Towards Realistic Social Audio Interactions

Researchers have introduced Hello-Chat, an end-to-end audio language model designed to create more realistic and emotionally resonant AI conversations. The model addresses the robotic nature of existing Large Audio Language Models by using real-life conversation data and achieving breakthrough performance in prosodic naturalness and emotional alignment.

AIBullisharXiv – CS AI · 4h ago2

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Resources for Automated Evaluation of Assistive RAG Systems that Help Readers with News Trustworthiness Assessment

Researchers developed the TREC 2025 DRAGUN Track to evaluate AI systems that help readers assess news trustworthiness through automated report generation. The initiative created reusable evaluation resources including human-assessed rubrics and an AutoJudge system that correlates well with human evaluations for RAG-based news analysis tools.

AINeutralarXiv – CS AI · 4h ago0

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Terminology Rarity Predicts Catastrophic Failure in LLM Translation of Low-Resource Ancient Languages: Evidence from Ancient Greek

A study evaluated large language models (Claude, Gemini, ChatGPT) translating Ancient Greek texts, finding high performance on previously translated works (95.2/100) but declining quality on untranslated technical texts (79.9/100). Terminology rarity was identified as a strong predictor of translation failure, with rare terms causing catastrophic performance drops.

AINeutralarXiv – CS AI · 4h ago0

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From Moderation to Mediation: Can LLMs Serve as Mediators in Online Flame Wars?

Researchers explore using large language models (LLMs) as mediators rather than just moderators in online conflicts, developing a framework that combines judgment evaluation and empathetic intervention. Their study using Reddit data shows API-based models outperform open-source alternatives in de-escalating flame wars and fostering constructive dialogue.

AINeutralarXiv – CS AI · 4h ago0

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LEC-KG: An LLM-Embedding Collaborative Framework for Domain-Specific Knowledge Graph Construction -- A Case Study on SDGs

Researchers developed LEC-KG, a new framework that combines Large Language Models with Knowledge Graph Embeddings to better extract and structure information from unstructured text. The system was tested on Chinese Sustainable Development Goal reports and showed significant improvements over traditional LLM approaches, particularly for identifying rare relationships in domain-specific content.