Peter West
26 papers · 2019–2025 · 6 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (60) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Dynamic Duo
(25)
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Topic Evolution
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Keyword Pioneer
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Trend Setter
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Unstoppable · Bronze
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Century Club · Bronze
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Prolific Year · Productive
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Renaissance Researcher
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Keyword Collector
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Research topics
Machine Learning
(22)
Artificial Intelligence
(19)
Core AI
(18)
Deep Learning
(17)
Natural Language Processing
(17)
Learning Types · Machine Learning
(14)
Models
(10)
Generation
(9)
Learning Types · Deep Learning
(9)
Resources & Methods
(8)
Application Areas
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Applications
(3)
Core Methods
(3)
Optimization & Theory
(3)
Knowledge & Reasoning
(2)
Keywords
language model
(15)
large language model
(6)
knowledge distillation
(6)
commonsense reasoning
(5)
zero-shot learning
(4)
text generation
(4)
knowledge graph
(3)
commonsense knowledge
(3)
sentence summarization
(3)
self-supervised learning
(3)
generative model
(3)
unsupervised learning
(3)
beam search
(2)
symbolic knowledge
(2)
model compression
(2)
vision-language model
(2)
decoding algorithm
(2)
information bottleneck
(2)
reinforcement learning
(2)
question answering
(2)
Papers
BottleHumor: Self-Informed Humor Explanation using the Information Bottleneck Principle
ACL 2025
Impossible Distillation for Paraphrasing and Summarization: How to Make High-quality Lemonade out of Small, Low-quality Model
NAACL 2024
The Generative AI Paradox: “What It Can Create, It May Not Understand”
ICLR 2024
Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties
AAAI 2024
Faith and Fate: Limits of Transformers on Compositionality
NeurIPS 2023
Generating Sequences by Learning to Self-Correct
ICLR 2023
I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation
ACL 2023
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning
EMNLP 2023
Localized Symbolic Knowledge Distillation for Visual Commonsense Models
NeurIPS 2023
Minding Language Models’ (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief Tracker
ACL 2023
NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation
EMNLP 2023
SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization
EMNLP 2023
We’re Afraid Language Models Aren’t Modeling Ambiguity
EMNLP 2023
Generated Knowledge Prompting for Commonsense Reasoning
ACL 2022
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics
NAACL 2022
Probing Factually Grounded Content Transfer with Factual Ablation
ACL 2022
QUARK: Controllable Text Generation with Reinforced Unlearning
NeurIPS 2022
Referee: Reference-Free Sentence Summarization with Sharper Controllability through Symbolic Knowledge Distillation
EMNLP 2022
Symbolic Brittleness in Sequence Models: On Systematic Generalization in Symbolic Mathematics
AAAI 2022
Symbolic Knowledge Distillation: from General Language Models to Commonsense Models
NAACL 2022
NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints
NAACL 2021
Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models
ACL 2021
Surface Form Competition: Why the Highest Probability Answer Isn’t Always Right
EMNLP 2021
Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning
EMNLP 2020
Unsupervised Commonsense Question Answering with Self-Talk
EMNLP 2020
BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle
EMNLP 2019