DoQA - Accessing Domain-Specific FAQs via Conversational QA. - Jon Ander Campos; Arantxa Otegi; Aitor Soroa; Jan Deriu; Mark Cieliebak; Eneko Agirre (ACL, 2020)

Improving Conversational Question Answering Systems after Deployment using Feedback-Weighted Learning. - Jon Ander Campos; Kyunghyun Cho; Arantxa Otegi; Aitor Soroa; Eneko Agirre; Gorka Azkune (COLING, 2020)

Spot The Bot: A Robust and Efficient Framework for the Evaluation of Conversational Dialogue Systems. - Jan Deriu; Don Tuggener; Pius von Däniken; Jon Ander Campos; Álvaro Rodrigo; Thiziri Belkacem; Aitor Soroa; Eneko Agirre; Mark Cieliebak (EMNLP (1), 2020)

Automatic Evaluation vs. User Preference in Neural Textual QuestionAnswering over COVID-19 Scientific Literature. - Arantxa Otegi; Jon Ander Campos; Gorka Azkune; Aitor Soroa; Eneko Agirre (NLP4COVID@EMNLP, 2020)

Give your Text Representation Models some Love: the Case for Basque. - Rodrigo Agerri; Iñaki San Vicente; Jon Ander Campos; Ander Barrena; Xabier Saralegi; Aitor Soroa; Eneko Agirre (LREC, 2020)

Conversational Question Answering in Low Resource Scenarios: A Dataset and Case Study for Basque. - Arantxa Otegi; Aitor Gonzalez-Agirre; Jon Ander Campos; Aitor Soroa; Eneko Agirre (LREC, 2020)

Learning from Natural Language Feedback. - Jérémy Scheurer; Jon Ander Campos; Jun Shern Chan; Angelica Chen; Kyunghyun Cho; Ethan Perez (CoRR, 2022)

State-of-the-Art in Language Technology and Language-centric Artificial Intelligence. - Rodrigo Agerri; Eneko Agirre; Itziar Aldabe; Nora Aranberri; Jose Maria Arriola; Aitziber Atutxa; Gorka Azkune; Jon Ander Campos; Arantza Casillas; Ainara Estarrona; Aritz Farwell; Iakes Goenaga; et al. (European Language Equality, 2022)

NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each Benchmark. - Oscar Sainz; Jon Ander Campos; Iker García-Ferrero; Julen Etxaniz; Oier Lopez de Lacalle; Eneko Agirre (EMNLP (Findings), 2023)

IXA/Cogcomp at SemEval-2023 Task 2: Context-enriched Multilingual Named Entity Recognition Using Knowledge Bases. - Iker García-Ferrero; Jon Ander Campos; Oscar Sainz; Ander Salaberria; Dan Roth 001 (SemEval@ACL, 2023)

Improving Code Generation by Training with Natural Language Feedback. - Angelica Chen; Jérémy Scheurer; Tomasz Korbak; Jon Ander Campos; Jun Shern Chan; Samuel R. Bowman; Kyunghyun Cho; Ethan Perez (CoRR, 2023)

Training Language Models with Language Feedback at Scale. - Jérémy Scheurer; Jon Ander Campos; Tomasz Korbak; Jun Shern Chan; Angelica Chen; Kyunghyun Cho; Ethan Perez (CoRR, 2023)

Unsupervised Domain Adaption for Neural Information Retrieval. - Carlos Dominguez; Jon Ander Campos; Eneko Agirre; Gorka Azkune (CoRR, 2023)

Data Contamination Report from the 2024 CONDA Shared Task. - Oscar Sainz; Iker García-Ferrero; Alon Jacovi; Jon Ander Campos; Yanai Elazar; Eneko Agirre; Yoav Goldberg; Wei-Lin Chen; Jenny Chim; Leshem Choshen; Luca D'Amico-Wong; Melissa Dell; et al. (CONDA, 2024)

When to Retrieve: Teaching LLMs to Utilize Information Retrieval Effectively. - Tiziano Labruna; Jon Ander Campos; Gorka Azkune (CoRR, 2024)

Aya 23: Open Weight Releases to Further Multilingual Progress. - Viraat Aryabumi; John Dang; Dwarak Talupuru; Saurabh Dash; David Cairuz; Hangyu Lin; Bharat Venkitesh; Madeline Smith; Jon Ander Campos; Yi Chern Tan; Kelly Marchisio; Max Bartolo; et al. (CoRR, 2024)

Aya Expanse: Combining Research Breakthroughs for a New Multilingual Frontier. - John Dang; Shivalika Singh; Daniel D'souza; Arash Ahmadian; Alejandro Salamanca; Madeline Smith; Aidan Peppin; Sungjin Hong; Manoj Govindassamy; Terrence Zhao; Sandra Kublik; Meor Amer; et al. (CoRR, 2024)

Learning from Natural Language Feedback. - Angelica Chen; Jérémy Scheurer; Jon Ander Campos; Tomasz Korbak; Jun Shern Chan; Samuel R. Bowman; Kyunghyun Cho; Ethan Perez (Trans. Mach. Learn. Res., 2024)

From Tools to Teammates: Evaluating LLMs in Multi-Session Coding Interactions. - Nathanaël Carraz Rakotonirina; Mohammed Hamdy; Jon Ander Campos; Lucas Weber; Alberto Testoni; Marzieh Fadaee; Sandro Pezzelle; Marco Del Tredici (ACL (1), 2025)

Improving Reward Models with Synthetic Critiques. - Zihuiwen Ye; Fraser Greenlee-Scott; Max Bartolo; Phil Blunsom; Jon Ander Campos; Matthias Gallé (NAACL (Findings), 2025)

LLMs can implicitly learn from mistakes in-context. - Lisa Alazraki; Maximilian Mozes; Jon Ander Campos; Yi Chern Tan; Marek Rei; Max Bartolo (CoRR, 2025)

Command A: An Enterprise-Ready Large Language Model. - Aakanksha; Arash Ahmadian; Marwan Ahmed; Jay Alammar; Milad Alizadeh; Yazeed Alnumay; Sophia Althammer; Arkady Arkhangorodsky; Viraat Aryabumi; Dennis Aumiller; Raphaël Avalos; Zahara Aviv; et al. (CoRR, 2025)

Colombian Waitresses y Jueces canadienses: Gender and Country Biases in Occupation Recommendations from LLMs. - Elisa Forcada Rodríguez; Olatz Perez-de-Viñaspre; Jon Ander Campos; Dietrich Klakow; Vagrant Gautam (CoRR, 2025)

Reverse Engineering Human Preferences with Reinforcement Learning. - Lisa Alazraki; Yi Chern Tan; Jon Ander Campos; Maximilian Mozes; Marek Rei; Max Bartolo (CoRR, 2025)