Martin Josifoski

According to our database1, Martin Josifoski authored at least 30 papers between 2018 and 2026.

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Bibliography

2026
AIRA_2: Overcoming Bottlenecks in AI Research Agents.
CoRR, March, 2026

AIRS-Bench: a Suite of Tasks for Frontier AI Research Science Agents.
CoRR, February, 2026

Interactive Evaluation of Large Language Models for Multi-Requirement Software Engineering Tasks.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
What Does It Take to Be a Good AI Research Agent? Studying the Role of Ideation Diversity.
CoRR, November, 2025

AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench.
CoRR, July, 2025

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements.
CoRR, June, 2025

Combining Code Generating Large Language Models and Self-Play to Iteratively Refine Strategies in Games.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024
The Era of Semantic Decoding.
CoRR, 2024

Symbolic Autoencoding for Self-Supervised Sequence Learning.
CoRR, 2024

Evaluating Language Model Agency through Negotiations.
CoRR, 2024

A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Sketch-Guided Constrained Decoding for Boosting Blackbox Large Language Models without Logit Access.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2024

2023
Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice.
J. Mach. Learn. Res., 2023

Flows: Building Blocks of Reasoning and Collaborating AI.
CoRR, 2023

Generating Faithful Synthetic Data with Large Language Models: A Case Study in Computational Social Science.
CoRR, 2023

Flexible Grammar-Based Constrained Decoding for Language Models.
CoRR, 2023

Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and the Case of Information Extraction.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Grammar-Constrained Decoding for Structured NLP Tasks without Finetuning.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Language Model Decoding as Likelihood-Utility Alignment.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2022
PAC-Bayesian Meta-Learning: From Theory to Practice.
CoRR, 2022

Language Model Decoding as Likelihood-Utility Alignment.
CoRR, 2022

GenIE: Generative Information Extraction.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Invariant Language Modeling.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
GenIE: Generative Information Extraction.
CoRR, 2021

Invariant Language Modeling.
CoRR, 2021

PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Scalable Zero-shot Entity Linking with Dense Entity Retrieval.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Zero-shot Entity Linking with Dense Entity Retrieval.
CoRR, 2019

Crosslingual Document Embedding as Reduced-Rank Ridge Regression.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

2018
Deep Learning the Protein Function in Protein Interaction Networks.
Proceedings of the ICT Innovations 2018. Engineering and Life Sciences, 2018


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