Fujitsu Research
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FieldWorkArena
FieldWorkArena PublicAn evaluation environment for video analytics AI agent service.
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- Fujitsu-RAG-Hard-Benchmark Public
This is the benchmark dataset introduced in the paper "Overcoming the 'Impracticality' of RAG: Proposing a Real-World Benchmark and Multi-Dimensional Diagnostic Framework," presented at the AAAI 2026 workshop.
FujitsuResearch/Fujitsu-RAG-Hard-Benchmark’s past year of commit activity - Fujitsu-Hallucination-Benchmark Public
This benchmark is an evaluation metric (benchmark) for preventing hallucinations in Multimodal Large Language Models (MLLMs), which will be released in conjunction with the paper (ECHO: EvidenCe-prior Hallucination Observation) presented at the AAAI 2026 Workshop (Agentic AI Benchmarks and Applications).
FujitsuResearch/Fujitsu-Hallucination-Benchmark’s past year of commit activity - chat-template-backdoor-attack Public
Official implementation of inference-time backdoors in LLMs introduced via hidden instructions in chat templates, providing controlled experiments across multiple inference engines and template-based safety mechanisms. Collaboration with Pillar Security.
FujitsuResearch/chat-template-backdoor-attack’s past year of commit activity - chaotic-qdm Public
Code implementation for the paper "Learning Quantum Data Distribution via Chaotic Quantum Diffusion Model"
FujitsuResearch/chaotic-qdm’s past year of commit activity - mpe-uap Public
Many-body Projected Ensemble framework for Universal Approximation Property of Learning Quantum Data Distribution
FujitsuResearch/mpe-uap’s past year of commit activity
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