Max Bartolo
17 papers · 2018–2025 · 6 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (41)
🧬
Topic Evolution
👥
Mega-Team · Squad
🗃️
Keyword Collector
(93)
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
Top co-authors
Research topics
Machine Learning
(13)
Artificial Intelligence
(11)
Core AI
(10)
Natural Language Processing
(9)
Learning Types · Machine Learning
(9)
Deep Learning
(6)
Applications · Natural Language Processing
(6)
Application Areas
(5)
Learning Types · Deep Learning
(3)
Optimization & Theory
(3)
Resources & Methods
(3)
Models
(2)
Computer Science
(1)
Computer Vision
(1)
Applications · Computer Science
(1)
Keywords
large language model
(5)
model robustness
(4)
adversarial training
(2)
dataset collection
(2)
model evaluation
(2)
question answering
(2)
human feedback
(2)
model alignment
(2)
language model
(2)
text classification
(2)
few-shot learning
(2)
data augmentation
(2)
in-context learning
(1)
benchmark suite
(1)
mathematical reasoning
(1)
adversarial learning
(1)
dataset creation
(1)
sentiment classification
(1)
reward modeling
(1)
data annotation
(1)
Papers
Improving Reward Models with Synthetic Critiques
NAACL 2025
No Need for Explanations: LLMs can implicitly learn from mistakes in-context
EMNLP 2025
Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models
ICLR 2025
Aya Dataset: An Open-Access Collection for Multilingual Instruction Tuning
ACL 2024
Fishing for Magikarp: Automatically Detecting Under-trained Tokens in Large Language Models
EMNLP 2024
Human Feedback is not Gold Standard
ICLR 2024
The PRISM Alignment Dataset: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models
NeurIPS 2024
DataPerf: Benchmarks for Data-Centric AI Development
NeurIPS 2023
Dynatask: A Framework for Creating Dynamic AI Benchmark Tasks
ACL 2022
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity
ACL 2022
Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants
NAACL 2022
Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality
CVPR 2022
Contrasting Human- and Machine-Generated Word-Level Adversarial Examples for Text Classification
EMNLP 2021
Dynabench: Rethinking Benchmarking in NLP
NAACL 2021
Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation
EMNLP 2021
Undersensitivity in Neural Reading Comprehension
EMNLP 2020
Interpretation of Natural Language Rules in Conversational Machine Reading
EMNLP 2018