LLM Multi-Agent Systems: Challenges and Open Problems

From pilot to policy: why AI health interventions fail to scale in developing countries

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Infectious disease burden and surveillance challenges in Jordan and Palestine: a systematic review and meta-analysis

BackgroundJordan and Palestine face public health challenges due to infectious diseases, with the added detrimental factors of long-term conflict, forced relocation, and lack of resources.

One Token Is Enough: Improving Diffusion Language Models with a Sink Token

arXiv:2601.19657v2 Announce Type: replace-cross Abstract: Diffusion Language Models (DLMs) have emerged as a compelling alternative to autoregressive approaches, enabling parallel text generation with competitive performance.

Trustworthy Intelligent Education: A Systematic Perspective on Progress, Challenges, and Future Directions

arXiv:2601.21837v1 Announce Type: cross Abstract: In recent years, trustworthiness has garnered increasing attention and exploration in the field of intelligent education, due to the inherent

RobustExplain: Evaluating Robustness of LLM-Based Explanation Agents for Recommendation

arXiv:2601.19120v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) are increasingly used to generate natural-language explanations in recommender systems, acting as explanation agents that reason