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"OK Aura, Be Fair With Me": Demographics-Agnostic Training for Bias Mitigation in Wake-up Word Detection
Arxiv
0+阅读 · 4月7日
The State of Scientific Poster Sharing and Reuse
Arxiv
0+阅读 · 4月22日
How Utilitarian Are OpenAI's Models Really? Replicating and Reinterpreting Pfeffer, Krügel, and Uhl (2025)
Arxiv
0+阅读 · 3月24日
A Contextual Help Browser Extension to Assist Digital Illiterate Internet Users
Arxiv
0+阅读 · 3月18日
Electrospinning-Data.org: A FAIR, Structured Knowledge Resource for Nanofiber Fabrication
Arxiv
0+阅读 · 3月29日
Perils of Parallelism: Transaction Fee Mechanisms under Execution Uncertainty
Arxiv
0+阅读 · 4月5日
To be FAIR or RIGHT? Methodological [R]esearch [I]ntegrity [G]iven [H]uman-facing [T]echnologies using the example of Learning Technologies
To be FAIR or RIGHT? Methodological [R]esearch [I]ntegrity [G]iven [H]uman-facing [T]echnologies using the example of Learning Technologies
Arxiv
0+阅读 · 3月16日
Emergence of a phonological bias in ChatGPT
Arxiv
0+阅读 · 2月25日
SimpleQA Verified: A Reliable Factuality Benchmark to Measure Parametric Knowledge
Arxiv
0+阅读 · 3月10日
Byam: Fixing Breaking Dependency Updates with Large Language Models
Arxiv
0+阅读 · 2月17日
FAIR: Framing AIs Role in Programming Competitions -- Understanding How LLMs Are Changing the Game in Competitive Programming
Arxiv
0+阅读 · 2月6日
LLMEval-Fair: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language Models
Arxiv
0+阅读 · 2月12日
Evaluating the Effectiveness of OpenAI's Parental Control System
Arxiv
0+阅读 · 1月30日
Fair-GPTQ: Bias-Aware Quantization for Large Language Models
Arxiv
0+阅读 · 2月2日
The "I" in FAIR: Translating from Interoperability in Principle to Interoperation in Practice
Arxiv
0+阅读 · 1月15日
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