Matthew Peters
25 papers · 2018–2024 · 6 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (6) π Conference Polyglot (6) π Academic Marathon (6) πΊοΈ Taxonomy Completionist (65)
πΊοΈ
Taxonomy Completionist
(65)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π₯
Mega-Team
(43)
π§¬
Topic Evolution
π
Century Club
(25)
π
Trend Setter
π₯
Unstoppable
(5)
β
The Questioner
ποΈ
Keyword Collector
(108)
β‘
Prolific Year
(8)
Conferences
ACL (11)
EMNLP (5)
NAACL (3)
EACL (2)
ICML (2)
IJCNLP (2)
Top co-authors
Keywords
few-shot learning
(4)
parameter-efficient fine-tuning
(3)
domain adaptation
(3)
pretrained language model
(3)
transfer learning
(3)
in-context learning
(2)
world dynamics
(2)
language modeling
(2)
neuro-symbolic reasoning
(2)
text summarization
(2)
neural network
(2)
spurious correlation
(2)
language grounding
(2)
language model
(2)
physical commonsense
(2)
entity linking
(1)
data augmentation
(1)
natural language inference
(1)
domain generalization
(1)
adversarial learning
(1)
Papers
OLMo: Accelerating the Science of Language Models
ACL 2024
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research
ACL 2024
TESS: Text-to-Text Self-Conditioned Simplex Diffusion
EACL 2024
FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning
ACL 2023
Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering
ACL 2023
HINT: Hypernetwork Instruction Tuning for Efficient Zero- and Few-Shot Generalisation
ACL 2023
AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models
EACL 2023
Few-Shot Self-Rationalization with Natural Language Prompts
NAACL 2022
Tailor: Generating and Perturbing Text with Semantic Controls
ACL 2022
Extracting Latent Steering Vectors from Pretrained Language Models
ACL 2022
ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts
EMNLP 2022
Does Self-Rationalization Improve Robustness to Spurious Correlations?
EMNLP 2022
Hyperdecoders: Instance-specific decoders for multi-task NLP
EMNLP 2022
Staged Training for Transformer Language Models
ICML 2022
Efficient Hierarchical Domain Adaptation for Pretrained Language Models
NAACL 2022
CDLM: Cross-Document Language Modeling
EMNLP 2021
Explaining NLP Models via Minimal Contrastive Editing (MiCE)
IJCNLP 2021
Explaining NLP Models via Minimal Contrastive Editing (MiCE)
ACL 2021
PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World
ACL 2021
Competency Problems: On Finding and Removing Artifacts in Language Data
EMNLP 2021
PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World
IJCNLP 2021
Adversarial Filters of Dataset Biases
ICML 2020
Construction of the Literature Graph in Semantic Scholar
NAACL 2018
Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated Examples
ACL 2018
AllenNLP: A Deep Semantic Natural Language Processing Platform
ACL 2018