Samuel Dooley
11 papers · 2021–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (7) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (22) π Conference Polyglot (4)
π
Cross-Pollinator
(10)
π
Century Club
(11)
β
The Questioner
π₯
Unstoppable
(5)
Conferences
NIPS (5)
ICLR (4)
EACL (1)
IJCAI (1)
Top co-authors
Keywords
uncertainty estimation
(2)
large language model
(2)
algorithmic fairness
(2)
face detection
(1)
uncertainty quantification
(1)
model calibration
(1)
object detection
(1)
preference learning
(1)
question answering
(1)
face recognition
(1)
neural architecture search
(1)
deep learning
(1)
ai safety
(1)
time series
(1)
probability calibration
(1)
bias mitigation
(1)
synthetic datum
(1)
human-ai collaboration
(1)
revenue maximization
(1)
model fine-tuning
(1)
Papers
Style Outweighs Substance: Failure Modes of LLM Judges in Alignment Benchmarking
ICLR 2025
LiveBench: A Challenging, Contamination-Limited LLM Benchmark
ICLR 2025
Multi-objective Differentiable Neural Architecture Search
ICLR 2025
Large Language Models Must Be Taught to Know What They Donβt Know
NIPS 2024
Calibration-Tuning: Teaching Large Language Models to Know What They Donβt Know
EACL 2024
To the Cutoff... and Beyond? A Longitudinal Perspective on LLM Data Contamination
ICLR 2024
Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition
NIPS 2023
ForecastPFN: Synthetically-Trained Zero-Shot Forecasting
NIPS 2023
The Dichotomous Affiliate Stable Matching Problem: Approval-Based Matching with Applicant-Employer Relations
IJCAI 2022
Robustness Disparities in Face Detection
NIPS 2022
PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning
NIPS 2021