PBiLoss: Eliminating Popularity Bias in Recommendation Systems Through Regularization
Researchers propose PBiLoss, a popularity-aware regularization technique that directly mitigates popularity bias during …
🏷️ STEM
155 articles about 'STEM'
New Study Reveals: Partial Evidence Actually Worsens LLM Hallucinations
A new paper introduces the phenomenon of "Anchored Confabulation": providing large language models with partial intermed…
DORA System: Asynchronous Reinforcement Learning Breaks Through LLM Training Bottlenecks
A research team has proposed the DORA system, a scalable asynchronous reinforcement learning architecture that addresses…
Building on the Past, Forging the Future: Exploring New Cognitive Frameworks for the AI Era
Artificial intelligence is reshaping human society with unprecedented depth. This article examines the formation logic o…
SciHorizon-DataEVA: An AI Agent That Automatically Evaluates the AI-Readiness of Scientific Data
A latest arXiv paper introduces the SciHorizon-DataEVA system, which leverages an agentic architecture to automatically …
Kimi Falling Behind in Consumer Market: Going Global Is the Most Realistic Core Strategy
Kimi's monthly active users plummeted from a peak of 36 million to 8.33 million, declining for four consecutive quarters…
Dreame's AURORA Smartphone Debuts in Silicon Valley as Company Approaches $10 Billion Valuation
Dreame Technology unveiled its AURORA smartphone in Silicon Valley, featuring a full-focal-length 200MP imaging system a…
Root Privilege Escalation in Just 732 Bytes: Critical Vulnerability Exposed Across All Major Linux Distributions
Security researchers have disclosed a critical privilege escalation vulnerability affecting all major Linux distribution…
New Research Establishes Conceptual Model for Rust's Ownership Type System
A new study proposes a 'grounded conceptual model' for Rust's ownership type system, aiming to lower Rust's learning cur…
New Method for Large-Scale Multi-Camera Motion Capture Calibration Unveiled
A latest arXiv paper proposes a robust camera-to-mocap extrinsic calibration and verification method, addressing the pai…
Explainable AI Dialogue System Helps Teachers Diagnose Student Problem Behavior
A research team has proposed an explainable dialogue system based on large language models that helps teachers diagnose …
How Do Large Language Models Weigh Internal Knowledge Against External Information? New Research Reveals Key Mechanisms
A latest arXiv paper explores how large language models behave when facing three-way conflicts among internal parameteri…