Peter West
28 papers · 2019–2025 · 7 conferences · across top CS/AI conferences
Achievements
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๐ Academic Marathon (6) ๐ Interdisciplinary Bridge ๐งญ Keyword Pioneer ๐ Conference Polyglot (7) ๐ Cross-Pollinator (4)
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Conference Polyglot
(7)
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Academic Marathon
(6)
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Renaissance Researcher
(7)
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Dynamic Duo
(27)
๐ฅ
Unstoppable
(7)
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Trend Setter
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Century Club
(28)
๐๏ธ
Keyword Collector
(119)
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Prolific Year
(9)
Conferences
EMNLP (9)
ACL (6)
NAACL (4)
NIPS (3)
AAAI (2)
ICLR (2)
IJCNLP (2)
Top co-authors
Keywords
language model
(16)
knowledge distillation
(6)
large language model
(6)
unsupervised learning
(5)
commonsense reasoning
(5)
self-supervised learning
(4)
zero-shot learning
(4)
text generation
(4)
commonsense knowledge
(3)
knowledge graph
(3)
paraphrase generation
(3)
information bottleneck
(3)
sentence summarization
(3)
question answering
(2)
symbolic knowledge
(2)
reinforcement learning
(2)
beam search
(2)
decoding algorithm
(2)
model compression
(2)
extractive summarization
(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: โWhat It Can Create, It May Not Understandโ
ICLR 2024
Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties
AAAI 2024
Faith and Fate: Limits of Transformers on Compositionality
NIPS 2023
Localized Symbolic Knowledge Distillation for Visual Commonsense Models
NIPS 2023
I2D2: Inductive Knowledge Distillation with NeuroLogic and Self-Imitation
ACL 2023
Minding Language Modelsโ (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
Generating Sequences by Learning to Self-Correct
ICLR 2023
SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization
EMNLP 2023
Weโre Afraid Language Models Arenโt Modeling Ambiguity
EMNLP 2023
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning
EMNLP 2023
QUARK: Controllable Text Generation with Reinforced Unlearning
NIPS 2022
Symbolic Brittleness in Sequence Models: On Systematic Generalization in Symbolic Mathematics
AAAI 2022
Generated Knowledge Prompting for Commonsense Reasoning
ACL 2022
Probing Factually Grounded Content Transfer with Factual Ablation
ACL 2022
Referee: Reference-Free Sentence Summarization with Sharper Controllability through Symbolic Knowledge Distillation
EMNLP 2022
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics
NAACL 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
Surface Form Competition: Why the Highest Probability Answer Isnโt Always Right
EMNLP 2021
Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models
ACL 2021
Reflective Decoding: Beyond Unidirectional Generation with Off-the-Shelf Language Models
IJCNLP 2021
Unsupervised Commonsense Question Answering with Self-Talk
EMNLP 2020
Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning
EMNLP 2020
BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle
EMNLP 2019
BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle
IJCNLP 2019