ニュース
Fun-ASR Technical Report
arXiv:2509.12508v3 Announce Type: replace Abstract: In recent years, automatic speech recognition (ASR) has witnessed transformative...
Frustratingly Easy Data Augmentation for Low-Resource ASR
arXiv:2509.15373v2 Announce Type: replace Abstract: This paper introduces three self-contained data augmentation methods for low-resource...
FrugalRAG: Learning to retrieve and reason for multi-hop QA
arXiv:2507.07634v2 Announce Type: replace Abstract: We consider the problem of answering complex questions, given access...
From terabytes to insights: Real-world AI obervability architecture
GUEST: Consider maintaining and developing an e-commerce platform that processes millions of transactions every minute...
From Surveys to Narratives: Rethinking Cultural Value Adaptation in LLMs
arXiv:2505.16408v2 Announce Type: replace Abstract: Adapting cultural values in Large Language Models (LLMs) presents significant...
From Roots to Rewards: Dynamic Tree Reasoning with Reinforcement Learning
arXiv:2507.13142v3 Announce Type: replace-cross Abstract: Modern language models address complex questions through chain-of-thought (CoT) reasoning...
From prompt chaos to clarity: How to build a robust AI orchestration layer
Choosing orchestration frameworks can be overwhelming, but some experts believe there are best practices to...
From Pretraining to Post-Training: Why Language Models Hallucinate and How Evaluation Methods Reinforce the Problem
Large language models (LLMs) very often generate “hallucinations”—confident yet incorrect outputs that appear plausible. Despite...
From Perception to Action: The Role of World Models in Embodied AI Systems
Introduction to Embodied AI Agents Embodied AI agents are systems that exist in physical or...
From Individuals to Interactions: Benchmarking Gender Bias in Multimodal Large Language Models from the Lens of Social Relationship
arXiv:2506.23101v1 Announce Type: new Abstract: Multimodal large language models (MLLMs) have shown impressive capabilities across...
From hallucinations to hardware: Lessons from a real-world computer vision project gone sideways
What we tried, what didn’t work and how a combination of approaches eventually helped us...
From disruption to reinvention: How knowledge workers can thrive after AI
We are beginning a cognitive migration: Away from what AI now does well, and toward...
