A Deep Learning Approach Based on Stacked Denoising Autoencoders for Protein Function Prediction. - Lester James V. Miranda; Jinglu Hu (COMPSAC (1), 2018)

Feature Extraction Using a Mutually-Competitive Autoencoder for Protein Function Prediction. - Lester James V. Miranda; Jinglu Hu (SMC, 2018)

PySwarms: a research toolkit for Particle Swarm Optimization in Python. - Lester James V. Miranda (J. Open Source Softw., 2018)

Geomancer: An Open-Source Framework for Geospatial Feature Engineering. - Lester James V. Miranda; Mark Steve Samson; Alfiero K. Orden II; Bianca S. Silmaro; Ram K. De Guzman III; Stephanie S. Sy (CoRR, 2019)

Multi hash embeddings in spaCy. - Lester James V. Miranda; Ákos Kádár; Adriane Boyd; Sofie Van Landeghem; Anders Søgaard; Matthew Honnibal (CoRR, 2022)

Developing a Named Entity Recognition Dataset for Tagalog. - Lester James V. Miranda (CoRR, 2023)

calamanCy: A Tagalog Natural Language Processing Toolkit. - Lester James V. Miranda (CoRR, 2023)

SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages. - Holy Lovenia; Rahmad Mahendra; Salsabil Maulana Akbar; Lester James V. Miranda; Jennifer Santoso; Elyanah Aco; Akhdan Fadhilah; Jonibek Mansurov; Joseph Marvin Imperial; Onno Kampman; Joel Ruben Antony Moniz; Muhammad Ravi Shulthan Habibi; et al. (EMNLP, 2024)

Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark. - Stephen Mayhew 002; Terra Blevins; Shuheng Liu 002; Marek Suppa; Hila Gonen; Joseph Marvin Imperial; Börje Karlsson 001; Peiqin Lin; Nikola Ljubesic; Lester James V. Miranda; Barbara Plank; Arij Riabi; et al. (NAACL-HLT, 2024)

Consent in Crisis: The Rapid Decline of the AI Data Commons. - Shayne Longpre; Robert Mahari; Ariel Lee; Campbell Lund; Hamidah Oderinwale; William Brannon; Nayan Saxena; Naana Obeng-Marnu; Tobin South; Cole Hunter; Kevin Klyman; Christopher Klamm; et al. (NeurIPS, 2024)

SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages. - Holy Lovenia; Rahmad Mahendra; Salsabil Maulana Akbar; Lester James V. Miranda; Jennifer Santoso; Elyanah Aco; Akhdan Fadhilah; Jonibek Mansurov; Joseph Marvin Imperial; Onno Pepijn Kampman; Joel Ruben Antony Moniz; Muhammad Ravi Shulthan Habibi; et al. (CoRR, 2024)

Consent in Crisis: The Rapid Decline of the AI Data Commons. - Shayne Longpre; Robert Mahari; Ariel Lee; Campbell Lund; Hamidah Oderinwale; William Brannon; Nayan Saxena; Naana Obeng-Marnu; Tobin South; Cole Hunter; Kevin Klyman; Christopher Klamm; et al. (CoRR, 2024)

TÜLU 3: Pushing Frontiers in Open Language Model Post-Training. - Nathan Lambert 001; Jacob Morrison; Valentina Pyatkin; Shengyi Huang; Hamish Ivison; Faeze Brahman; Lester James V. Miranda; Alisa Liu; Nouha Dziri; Shane Lyu; Yuling Gu; Saumya Malik; et al. (CoRR, 2024)

The UD-NewsCrawl Treebank: Reflections and Challenges from a Large-scale Tagalog Syntactic Annotation Project. - Angelina Aspra Aquino; Lester James Validad Miranda; Elsie Marie T. Or (ACL (1), 2025)

Crowdsource, Crawl, or Generate? Creating SEA-VL, a Multicultural Vision-Language Dataset for Southeast Asia. - Samuel Cahyawijaya; Holy Lovenia; Joel Ruben Antony Moniz; Tack Hwa Wong; Mohammad Rifqi Farhansyah; Thant Thiri Maung; Frederikus Hudi; David Anugraha; Muhammad Ravi Shulthan Habibi; Muhammad Reza Qorib; Amit Agarwal; Joseph Marvin Imperial; et al. (ACL (1), 2025)

M-RewardBench: Evaluating Reward Models in Multilingual Settings. - Srishti Gureja; Lester James Validad Miranda; Shayekh Bin Islam; Rishabh Maheshwary; Drishti Sharma; Gusti Triandi Winata; Nathan Lambert 001; Sebastian Ruder; Sara Hooker; Marzieh Fadaee (ACL (1), 2025)

Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback. - Lester James Validad Miranda; Yizhong Wang; Yanai Elazar; Sachin Kumar 009; Valentina Pyatkin; Faeze Brahman; Noah A. Smith; Hannaneh Hajishirzi; Pradeep Dasigi (ACL (1), 2025)

RewardBench: Evaluating Reward Models for Language Modeling. - Nathan Lambert 001; Valentina Pyatkin; Jacob Morrison; Lester James V. Miranda; Bill Yuchen Lin; Khyathi Raghavi Chandu; Nouha Dziri; Sachin Kumar 009; Tom Zick; Yejin Choi 001; Noah A. Smith; Hannaneh Hajishirzi (NAACL (Findings), 2025)

2 OLMo 2 Furious. - Team OLMo; Pete Walsh; Luca Soldaini; Dirk Groeneveld; Kyle Lo; Shane Arora; Akshita Bhagia; Yuling Gu; Shengyi Huang; Matt Jordan; Nathan Lambert 001; Dustin Schwenk; et al. (CoRR, 2025)

MMTEB: Massive Multilingual Text Embedding Benchmark. - Kenneth C. Enevoldsen; Isaac Chung; Imene Kerboua; Márton Kardos; Ashwin Mathur; David Stap; Jay Gala; Wissam Siblini; Dominik Krzeminski; Genta Indra Winata; Saba Sturua; Saiteja Utpala; et al. (CoRR, 2025)

Crowdsource, Crawl, or Generate? Creating SEA-VL, a Multicultural Vision-Language Dataset for Southeast Asia. - Samuel Cahyawijaya; Holy Lovenia; Joel Ruben Antony Moniz; Tack Hwa Wong; Mohammad Rifqi Farhansyah; Thant Thiri Maung; Frederikus Hudi; David Anugraha; Muhammad Ravi Shulthan Habibi; Muhammad Reza Qorib; Amit Agarwal; Joseph Marvin Imperial; et al. (CoRR, 2025)

R3: Robust Rubric-Agnostic Reward Models. - David Anugraha; Zilu Tang; Lester James V. Miranda; Hanyang Zhao; Mohammad Rifqi Farhansyah; Garry Kuwanto; Derry Wijaya; Genta Indra Winata (CoRR, 2025)

FilBench: Can LLMs Understand and Generate Filipino? - Lester James V. Miranda; Elyanah Aco; Conner Manuel; Jan Christian Blaise Cruz; Joseph Marvin Imperial (CoRR, 2025)