Unsupervised Memorability Modeling from Tip-of-the-Tongue Retrieval Queries

Digg has officially launched its open beta, marking a significant reboot of the platform under original founders Kevin Rose and Alexis Ohanian. Previously accessible to 67,000 users on an invite-only basis, the site aims to position itself as a competitor to Reddit by enhancing community engagement and user interaction.

Digg has officially launched its new platform, positioning itself as a competitor to Reddit, focusing on community engagement and user interaction. This marks a significant reboot of the earlier social news site, aiming to attract users seeking alternative social media experiences.

Experts warn that the use of AI to create harmful sexualized imagery, particularly targeting women and children, is just beginning, as evidenced by the controversial Grok AI chatbot developed by Elon Musk's xAI. Despite recent attempts to implement safeguards, users continue to exploit the tool for generating explicit content.

A new study introduces ExoFormer, a transformer model that utilizes exogenous anchor projections to enhance attention mechanisms, addressing the challenge of balancing stability and computational efficiency in deep learning architectures. This model demonstrates improved performance metrics, including a notable increase in downstream accuracy and data efficiency compared to traditional internal-anchor transformers.

A new framework for user-oriented multi-turn dialogue generation has been developed, leveraging large reasoning models (LRMs) to create dynamic, domain-specific tools for task completion. This approach addresses the limitations of existing datasets that rely on static toolsets, enhancing the interaction quality in human-agent collaborations.

A new study has introduced the SPEECHMENTALMANIP benchmark, marking the first exploration of mental manipulation detection in spoken dialogues, utilizing synthetic multi-speaker audio to enhance a text-based dataset. This research highlights the challenges of identifying manipulative speech tactics, revealing that models trained on audio exhibit lower recall compared to text.

The recent introduction of RULERS (Rubric Unification, Locking, and Evidence-anchored Robust Scoring) addresses challenges in evaluating large language models (LLMs) by transforming natural language rubrics into executable specifications, thereby enhancing the reliability of assessments.

A new framework named Rescind has been introduced to combat image manipulation in biomedical publications, addressing the challenges of detecting forgeries that arise from domain-specific artifacts and complex textures. This framework combines vision-language prompting with state-space modeling to enhance the detection and generation of biomedical image forgeries.