Richard Diehl Martinez

23 papers A* 2B 1Journal 17Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
SumTablets: A Transliteration Dataset of Sumerian Tablets.
CoRR
Cole Simmons, Richard Diehl Martinez, Dan Jurafsky
2025 J jnl
Investigating ReLoRA: Effects on the Learning Dynamics of Small Language Models.
CoRR
Yuval Weiss, David Demitri Africa, Paula Buttery, Richard Diehl Martinez
2025 J jnl
Learning Dynamics of Meta-Learning in Small Model Pretraining.
CoRR
David Demitri Africa, Yuval Weiss, Paula Buttery, Richard Diehl Martinez
2025 J jnl
Meta-Pretraining for Zero-Shot Cross-Lingual Named Entity Recognition in Low-Resource Philippine Languages.
CoRR
David Demitri Africa, Suchir Salhan, Yuval Weiss, Paula Buttery, Richard Diehl Martinez
2025 — conf
Pico: A Modular Framework for Hypothesis-Driven Small Language Model Research.
EMNLP (System Demonstrations)
Richard Diehl Martinez, David Demitri Africa, Yuval Weiss, Suchir Salhan, Ryan K. Daniels, Paula Buttery
2025 J jnl
Pico: A Modular Framework for Hypothesis-Driven Small Language Model Research.
CoRR
Richard Diehl Martinez, David Demitri Africa, Yuval Weiss, Suchir Salhan, Ryan K. Daniels, Paula Buttery
2025 J jnl
What is the Best Sequence Length for BABYLM?
CoRR
Suchir Salhan, Richard Diehl Martinez, Zébulon Goriely, Paula Buttery
2024 J jnl
From Babble to Words: Pre-Training Language Models on Continuous Streams of Phonemes.
CoRR
Zébulon Goriely, Richard Diehl Martinez, Andrew Caines, Lisa Beinborn, Paula Buttery
2024 J jnl
Less is More: Pre-Training Cross-Lingual Small-Scale Language Models with Cognitively-Plausible Curriculum Learning Strategies.
CoRR
Suchir Salhan, Richard Diehl Martinez, Zébulon Goriely, Paula Buttery
2024 A* conf
Mitigating Frequency Bias and Anisotropy in Language Model Pre-Training with Syntactic Smoothing.
EMNLP
Richard Diehl Martinez, Zébulon Goriely, Andrew Caines, Paula Buttery, Lisa Beinborn
2024 J jnl
Mitigating Frequency Bias and Anisotropy in Language Model Pre-Training with Syntactic Smoothing.
CoRR
Richard Diehl Martinez, Zébulon Goriely, Andrew Caines, Paula Buttery, Lisa Beinborn
2024 — conf
Tending Towards Stability: Convergence Challenges in Small Language Models.
EMNLP (Findings)
Richard Diehl Martinez, Pietro Lesci, Paula Buttery
2024 J jnl
Tending Towards Stability: Convergence Challenges in Small Language Models.
CoRR
Richard Diehl Martinez, Pietro Lesci, Paula Buttery
2023 J jnl
CLIMB: Curriculum Learning for Infant-inspired Model Building.
CoRR
Richard Diehl Martinez, Zébulon Goriely, Hope McGovern, Christopher Davis, Andrew Caines, Paula Buttery, Lisa Beinborn
2021 — conf
Attention-based Contextual Language Model Adaptation for Speech Recognition.
ACL/IJCNLP (Findings)
Richard Diehl Martinez, Scott Novotney, Ivan Bulyko, Ariya Rastrow, Andreas Stolcke, Ankur Gandhe
2021 J jnl
Attention-based Contextual Language Model Adaptation for Speech Recognition.
CoRR
Richard Diehl Martinez, Scott Novotney, Ivan Bulyko, Ariya Rastrow, Andreas Stolcke, Ankur Gandhe
2020 A* conf
Automatically Neutralizing Subjective Bias in Text.
AAAI
Reid Pryzant, Richard Diehl Martinez, Nathan Dass, Sadao Kurohashi, Dan Jurafsky, Diyi Yang
2019 J jnl
Automatically Neutralizing Subjective Bias in Text.
CoRR
Reid Pryzant, Richard Diehl Martinez, Nathan Dass, Sadao Kurohashi, Dan Jurafsky, Diyi Yang
2019 B conf
Via: Illuminating Academic Pathways at Scale.
L@S
Geoffrey Angus, Richard Diehl Martinez, Mitchell L. Stevens, Andreas Paepcke
2018 J jnl
Grapevine: A Wine Prediction Algorithm Using Multi-dimensional Clustering Methods.
CoRR
Richard Diehl Martinez, Geoffrey Angus, Rooz Mahdavian
2018 J jnl
Ignition: An End-to-End Supervised Model for Training Simulated Self-Driving Vehicles.
CoRR
Rooz Mahdavian, Richard Diehl Martinez
2018 J jnl
Theory of Machine Networks: A Case Study.
CoRR
Rooz Mahdavian, Richard Diehl Martinez
2018 J jnl
Using General Adversarial Networks for Marketing: A Case Study of Airbnb.
CoRR
Richard Diehl Martinez, John Kaleialoha Kamalu