Samuel Dooley
11 papers · 2021–2025 · 4 venues · across top CS/AI venues
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (26) 🌍 Conference Polyglot · Bronze 🌈 Renaissance Researcher (5) 💎 Century Club · Bronze
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Unstoppable · Bronze
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large language model
(3)
uncertainty estimation
(2)
algorithmic fairness
(2)
neural architecture search
(2)
uncertainty quantification
(1)
model calibration
(1)
game theory
(1)
question answering
(1)
face detection
(1)
preference optimization
(1)
face recognition
(1)
preference learning
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deep learning
(1)
ai safety
(1)
probability calibration
(1)
time series
(1)
multi-objective optimization
(1)
bias mitigation
(1)
language model
(1)
object detection
(1)
Papers
LiveBench: A Challenging, Contamination-Limited LLM Benchmark
ICLR 2025
Multi-objective Differentiable Neural Architecture Search
ICLR 2025
Style Outweighs Substance: Failure Modes of LLM Judges in Alignment Benchmarking
ICLR 2025
Calibration-Tuning: Teaching Large Language Models to Know What They Don’t Know
EACL 2024
Large Language Models Must Be Taught to Know What They Don’t Know
NeurIPS 2024
To the Cutoff... and Beyond? A Longitudinal Perspective on LLM Data Contamination
ICLR 2024
ForecastPFN: Synthetically-Trained Zero-Shot Forecasting
NeurIPS 2023
Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition
NeurIPS 2023
Robustness Disparities in Face Detection
NeurIPS 2022
The Dichotomous Affiliate Stable Matching Problem: Approval-Based Matching with Applicant-Employer Relations
IJCAI 2022
PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning
NeurIPS 2021