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ENTITY Prism

Prism

PulseAugur coverage of Prism — every cluster mentioning Prism across labs, papers, and developer communities, ranked by signal.

Total · 30d
14
14 over 90d
Releases · 30d
0
0 over 90d
Papers · 30d
12
12 over 90d
TIER MIX · 90D
TIMELINE
  1. 2026-05-11 research_milestone A new defense system named PRISM was introduced in a research paper for detecting and mitigating secret leakage in multi-agent LLM pipelines. source
SENTIMENT · 30D

1 day(s) with sentiment data

RECENT · PAGE 1/1 · 5 TOTAL
  1. TOOL · CL_28302 ·

    PRISM system detects and stops secret leakage in multi-agent LLM pipelines

    Researchers have developed PRISM, a new defense system designed to detect and mitigate the leakage of sensitive information in multi-agent Large Language Model (LLM) pipelines. PRISM addresses the risk of information pr…

  2. TOOL · CL_21963 ·

    PRISM paper refines dynamic text-attributed graphs with iterative cross-modal learning

    Researchers have introduced PRISM, a novel framework designed to enhance the representation learning of dynamic text-attributed graphs (DyTAGs). This iterative cross-modal posterior refinement approach addresses limitat…

  3. TOOL · CL_20787 ·

    PRISM method uses color to guide point cloud sampling for 3D reconstruction

    Researchers have introduced PRISM, a new method for sampling RGB-LiDAR point clouds that leverages color information to guide the process. Unlike traditional methods that focus on spatial uniformity, PRISM allocates sam…

  4. RESEARCH · CL_16058 ·

    AI research proposes adaptive alignment, while blueprints explore AI's role in strengthening democracy

    A new research paper introduces Adaptive Pluralistic Alignment (APA), a pipeline designed to update AI systems with evolving societal values without requiring extensive retraining. This method uses a jury system of pers…

  5. RESEARCH · CL_06326 ·

    Aligning with Your Own Voice: Self-Corrected Preference Learning for Hallucination Mitigation in LVLMs

    Researchers are developing new frameworks to address hallucinations in large language models (LLMs). One approach, termed "LLM Psychosis," categorizes severe reality-boundary failures and proposes a diagnostic scale to …