| Unlimiformer: Long-range transformers with unlimited length input A Bertsch, U Alon, G Neubig, MR Gormley NeurIPS 2023, 2023 | 175 | 2023 |
| From decoding to meta-generation: Inference-time algorithms for large language models S Welleck, A Bertsch, M Finlayson, H Schoelkopf, A Xie, G Neubig, ... arXiv preprint arXiv:2406.16838, 2024 | 121 | 2024 |
| In-context learning with long-context models: An in-depth exploration A Bertsch, M Ivgi, E Xiao, U Alon, J Berant, MR Gormley, G Neubig Proceedings of the 2025 Conference of the Nations of the Americas Chapter of …, 2025 | 112 | 2025 |
| Bridging the gap: A survey on integrating (human) feedback for natural language generation P Fernandes, A Madaan, E Liu, A Farinhas, PH Martins, A Bertsch, ... Transactions of the Association of Computational Linguistics, 2023 | 107 | 2023 |
| Llms as workers in human-computational algorithms? replicating crowdsourcing pipelines with llms T Wu, H Zhu, M Albayrak, A Axon, A Bertsch, W Deng, Z Ding, B Guo, ... Proceedings of the Extended Abstracts of the CHI Conference on Human Factors …, 2025 | 65 | 2025 |
| Prompt2Model: Generating Deployable Models from Natural Language Instructions V Viswanathan, C Zhao, A Bertsch, T Wu, G Neubig EMNLP Demo, 2023 | 49 | 2023 |
| It's MBR all the way down: Modern generation techniques through the lens of minimum Bayes risk A Bertsch, A Xie, G Neubig, MR Gormley arXiv preprint arXiv:2310.01387, 2023 | 39 | 2023 |
| Summqa at mediqa-chat 2023: In-context learning with gpt-4 for medical summarization Y Mathur, S Rangreji, R Kapoor, M Palavalli, A Bertsch, MR Gormley arXiv preprint arXiv:2306.17384, 2023 | 30 | 2023 |
| To build our future, we must know our past: Contextualizing paradigm shifts in natural language processing S Gururaja, A Bertsch, C Na, D Widder, E Strubell Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 20 | 2023 |
| A taxonomy for data contamination in large language models M Palavalli, A Bertsch, MR Gormley arXiv preprint arXiv:2407.08716, 2024 | 15 | 2024 |
| Better instruction-following through minimum bayes risk I Wu, P Fernandes, A Bertsch, S Kim, S Pakazad, G Neubig arXiv preprint arXiv:2410.02902, 2024 | 14 | 2024 |
| Detection of puffery on the english wikipedia A Bertsch, S Bethard Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021 …, 2021 | 10 | 2021 |
| Not-just-scaling laws: Towards a better understanding of the downstream impact of language model design decisions E Liu, A Bertsch, L Sutawika, L Tjuatja, P Fernandes, L Marinov, M Chen, ... arXiv preprint arXiv:2503.03862, 2025 | 7 | 2025 |
| He Said, She Said: Style Transfer for Shifting the Perspective of Dialogues A Bertsch, G Neubig, MR Gormley Findings of EMNLP, 2022 | 7 | 2022 |
| Evaluating gender bias transfer from film data A Bertsch, A Oh, S Natu, S Gangu, AW Black, E Strubell Proceedings of the 4th Workshop on Gender Bias in Natural Language …, 2022 | 5 | 2022 |
| Efficient Many-Shot In-Context Learning with Dynamic Block-Sparse Attention E Xiao, CJ Li, Y Zhang, G Neubig, A Bertsch arXiv preprint arXiv:2503.08640, 2025 | 2 | 2025 |
| Olmo 3 T Olmo, A Ettinger, A Bertsch, B Kuehl, D Graham, D Heineman, ... arXiv preprint arXiv:2512.13961, 2025 | 1 | 2025 |
| Oolong: Evaluating long context reasoning and aggregation capabilities A Bertsch, A Pratapa, T Mitamura, G Neubig, MR Gormley arXiv preprint arXiv:2511.02817, 2025 | 1 | 2025 |
| Prompt-MII: Meta-Learning Instruction Induction for LLMs E Xiao, Y Zeng, A Chen, CJ Li, A Bertsch, G Neubig arXiv preprint arXiv:2510.16932, 2025 | 1 | 2025 |
| FicSim: A Dataset for Multi-Faceted Semantic Similarity in Long-Form Fiction N Johnson, A Bertsch, ME Deal, E Strubell Findings of the Association for Computational Linguistics: EMNLP 2025, 25228 …, 2025 | | 2025 |
Graham NeubigCarnegie Mellon UniversityVerified email at cs.cmu.edu
