Matthew Peters
23 papers · 2018–2024 · 5 venues · across top CS/AI venues
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Papers
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research
ACL 2024
OLMo: Accelerating the Science of Language Models
ACL 2024
TESS: Text-to-Text Self-Conditioned Simplex Diffusion
EACL 2024
AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models
EACL 2023
FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning
ACL 2023
HINT: Hypernetwork Instruction Tuning for Efficient Zero- and Few-Shot Generalisation
ACL 2023
Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering
ACL 2023
ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts
EMNLP 2022
Does Self-Rationalization Improve Robustness to Spurious Correlations?
EMNLP 2022
Efficient Hierarchical Domain Adaptation for Pretrained Language Models
NAACL 2022
Extracting Latent Steering Vectors from Pretrained Language Models
ACL 2022
Few-Shot Self-Rationalization with Natural Language Prompts
NAACL 2022
Hyperdecoders: Instance-specific decoders for multi-task NLP
EMNLP 2022
Staged Training for Transformer Language Models
ICML 2022
Tailor: Generating and Perturbing Text with Semantic Controls
ACL 2022
CDLM: Cross-Document Language Modeling
EMNLP 2021
Competency Problems: On Finding and Removing Artifacts in Language Data
EMNLP 2021
Explaining NLP Models via Minimal Contrastive Editing (MiCE)
ACL 2021
PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World
ACL 2021
Adversarial Filters of Dataset Biases
ICML 2020
AllenNLP: A Deep Semantic Natural Language Processing Platform
ACL 2018
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