---
title: "Graham Neubig — all works — Elamur Research"
description: "All 641 works of Graham Neubig in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/graham-neubig/works/"
---
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# Graham Neubig — all works

641 works · page 1 of 7 · 1–100 · [← Graham Neubig](https://md.research.elamur.ai/free/en/authors/graham-neubig/)

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1. **[Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing](https://md.research.elamur.ai/free/en/papers/liu-2021-pre-train-prompt-predict-systematic/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Pengfei Liu, Weizhe Yuan, Jinlan Fu, et al.*2021 · 5,423 citations*
2. **[How Can We Know What Language Models Know?](https://md.research.elamur.ai/free/en/papers/jiang-2020-how-can-we-know-what/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Zhengbao Jiang, Frank F. Xu, Jun Araki, et al.*2020 · 1,521 citations*
3. **[Active Retrieval Augmented Generation](https://md.research.elamur.ai/free/en/papers/jiang-2023-active-retrieval-augmented-generation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhengbao Jiang, Frank Xu, Luyu Gao, et al.*2023 · 872 citations*
4. [**BARTScore: Evaluating Generated Text as Text Generation arXiv:2106.11520**Weizhe Yuan, Graham Neubig, Pengfei Liu*2021 · 815 citations*](https://md.research.elamur.ai/free/en/papers/yuan-2021-bartscore-evaluating-generated-text-text/)
5. **[A Syntactic Neural Model for General-Purpose Code Generation](https://md.research.elamur.ai/free/en/papers/yin-2017-syntactic-neural-model-general-purpose/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Pengcheng Yin, Graham Neubig*2017 · 788 citations*
6. **[XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalisation ↗](https://openalex.org/W3035579820) International Conference on Machine Learning · no summary yet**Junjie Hu et al.*2020 · 726 citations*
7. **[PAL: Program-aided Language Models ↗](https://arxiv.org/abs/2211.10435) arXiv:2211.10435 · no summary yet**Luyu Gao et al.*2022 · 694 citations*
8. **[TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data](https://md.research.elamur.ai/free/en/papers/yin-2020-tabert-pretraining-joint-understanding-textual/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Pengcheng Yin, Graham Neubig, Wen-tau Yih, et al.*2020 · 692 citations*
9. [**Towards a Unified View of Parameter-Efficient Transfer Learning arXiv:2110.04366**Junxian He, Chunting Zhou, Xuezhe Ma, et al.*2021 · 619 citations*](https://md.research.elamur.ai/free/en/papers/he-2021-towards-unified-view-parameter-efficient/)
10. [**XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization arXiv:2003.11080**Junjie Hu, Sebastian Ruder, Aditya Siddhant, et al.*2020 · 558 citations*](https://md.research.elamur.ai/free/en/papers/hu-2020-xtreme-massively-multilingual-multi-task/)
11. [**DyNet: The Dynamic Neural Network Toolkit arXiv:1701.03980**Graham Neubig, Chris Dyer, Yoav Goldberg, et al.*2017 · 489 citations*](https://md.research.elamur.ai/free/en/papers/neubig-2017-dynet-dynamic-neural-network-toolkit/)
12. **[When and Why Are Pre-Trained Word Embeddings Useful for Neural Machine Translation?](https://md.research.elamur.ai/free/en/papers/qi-2018-when-why-are-pre-trained/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Ye Qi, Devendra Sachan, Matthieu Felix, et al.*2018 · 474 citations*
13. **[Competence-based Curriculum Learning for Neural Machine Translation ↗](https://aclanthology.org/N19-1119/) Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yet**Emmanouil Antonios Platanios et al.*2019 · 447 citations*
14. [**Are Sixteen Heads Really Better than One? arXiv:1905.10650**Paul Michel, Omer Levy, Graham Neubig*2019 · 435 citations*](https://md.research.elamur.ai/free/en/papers/michel-2019-sixteen-heads-really-better-than/)
15. [**WebArena: A Realistic Web Environment for Building Autonomous Agents arXiv:2307.13854**Shuyan Zhou, Frank F. Xu, Hao Zhu, et al.*2023 · 432 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2023-webarena-realistic-web-environment-building/)
16. **[MasakhaNER: Named Entity Recognition for African Languages](https://md.research.elamur.ai/free/en/papers/adelani-2021-masakhaner-named-entity-recognition-african/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**David Ifeoluwa Adelani, Jade Abbott, Graham Neubig, et al.*2021 · 431 citations*
17. **[Weight Poisoning Attacks on Pretrained Models](https://md.research.elamur.ai/free/en/papers/kurita-2020-weight-poisoning-attacks-pretrained-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Keita Kurita, Paul Michel, Graham Neubig*2020 · 416 citations*
18. **[Pointwise Prediction for Robust, Adaptable Japanese Morphological Analysis](https://md.research.elamur.ai/free/en/papers/neubig-2011-pointwise-prediction-robust-adaptable-japanese/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Graham Neubig, Yosuke Nakata, Shinsuke Mori*2011 · 370 citations*
19. **[How Can We Know When Language Models Know? On the Calibration of Language Models for Question Answering ↗](https://aclanthology.org/2021.tacl-1.57/) Transactions of the Association for Computational Linguistics · no summary yet**Zhengbao Jiang et al.*2021 · 369 citations*
20. **[BRIO: Bringing Order to Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/liu-2022-brio-bringing-order-abstractive-summarization/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yixin Liu, Pengfei Liu, Dragomir Radev, et al.*2022 · 360 citations*
21. **[Word Alignment by Fine-tuning Embeddings on Parallel Corpora ↗](https://doi.org/10.18653/v1/2021.eacl-main.181) EACL 2021 (online) · no summary yet**Zi-Yi Dou, Graham Neubig*2021 · 337 citations*
22. **[Rapid Adaptation of Neural Machine Translation to New Languages](https://md.research.elamur.ai/free/en/papers/neubig-2018-rapid-adaptation-neural-machine-translation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Graham Neubig, Junjie Hu*2018 · 330 citations*
23. **[Controlling Output Length in Neural Encoder-Decoders](https://md.research.elamur.ai/free/en/papers/kikuchi-2016-controlling-output-length-neural-encoder/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yuta Kikuchi, Graham Neubig, Ryohei Sasano, et al.*2016 · 324 citations*
24. **[GSum: A General Framework for Guided Neural Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/dou-2021-gsum-general-framework-guided-neural/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Zi-Yi Dou, Pengfei Liu, Hiroaki Hayashi, et al.*2021 · 322 citations*
25. **[Learning to Generate Pseudo-Code from Source Code Using Statistical Machine Translation ↗](https://doi.org/10.1109/ase.2015.36) ASE 2015 · no summary yet**Yusuke Oda et al.*2015 · 310 citations*
26. [**Learning to Mine Aligned Code and Natural Language Pairs from Stack Overflow arXiv:1805.08949**Pengcheng Yin, Bowen Deng, Edgar Chen, et al.*2018 · 308 citations*](https://md.research.elamur.ai/free/en/papers/yin-2018-learning-mine-aligned-code-natural/)
27. **[Incorporating Discrete Translation Lexicons into Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/arthur-2016-incorporating-discrete-translation-lexicons-into/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Philip Arthur, Graham Neubig, Satoshi Nakamura*2016 · 302 citations*
28. **[SwitchOut: an Efficient Data Augmentation Algorithm for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/wang-2018-switchout-efficient-data-augmentation-algorithm/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xinyi Wang, Hieu Pham, Zihang Dai, et al.*2018 · 290 citations*
29. **[Learning to Translate in Real-time with Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/gu-2017-learning-translate-real-time-neural/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Jiatao Gu, Graham Neubig, Kyunghyun Cho, et al.*2017 · 289 citations*
30. **[Stress Test Evaluation for Natural Language Inference ↗](https://aclanthology.org/C18-1198/) Proceedings of the 27th International Conference on Computational Linguistics · no summary yet**Aakanksha Naik et al.*2018 · 285 citations*
31. **[XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation](https://md.research.elamur.ai/free/en/papers/ruder-2021-xtreme-r-more-challenging-nuanced/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Sebastian Ruder, Noah Constant, Jan Botha, et al.*2021 · 281 citations*
32. **[TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation ↗](https://aclanthology.org/D18-2002/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations · no summary yet**Pengcheng Yin, Graham Neubig*2018 · 274 citations*
33. **[Re-evaluating Evaluation in Text Summarization](https://md.research.elamur.ai/free/en/papers/bhandari-2020-re-evaluating-evaluation-text-summarization/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Manik Bhandari, Pranav Narayan Gour, Atabak Ashfaq, et al.*2020 · 259 citations*
34. **[Neural Cross-Lingual Named Entity Recognition with Minimal Resources](https://md.research.elamur.ai/free/en/papers/xie-2018-neural-cross-lingual-named-entity/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jiateng Xie, Zhilin Yang, Graham Neubig, et al.*2018 · 249 citations*
35. **[Lagging Inference Networks and Posterior Collapse in Variational Autoencoders ↗](https://arxiv.org/abs/1901.05534) arXiv (Cornell University) · no summary yet**Junxian He et al.*2019 · 246 citations*
36. **[Politeness Transfer: A Tag and Generate Approach](https://md.research.elamur.ai/free/en/papers/madaan-2020-politeness-transfer-tag-generate-approach/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Aman Madaan, Amrith Setlur, Tanmay Parekh, et al.*2020 · 235 citations*
37. [**Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models arXiv:2405.01535**Seungone Kim, Juyoung Suk, Shayne Longpre, et al.*2024 · 234 citations*](https://md.research.elamur.ai/free/en/papers/kim-2024-prometheus-2-open-source-language/)
38. **[Learning to Deceive with Attention-Based Explanations](https://md.research.elamur.ai/free/en/papers/pruthi-2020-learning-deceive-attention-based-explanations/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Danish Pruthi, Mansi Gupta, Bhuwan Dhingra, et al.*2020 · 233 citations*
39. **[Detecting Hallucinated Content in Conditional Neural Sequence Generation](https://md.research.elamur.ai/free/en/papers/zhou-2021-detecting-hallucinated-content-conditional-neural/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chunting Zhou, Graham Neubig, Jiatao Gu, et al.*2021 · 232 citations*
40. **[MTNT: A Testbed for Machine Translation of Noisy Text](https://md.research.elamur.ai/free/en/papers/michel-2018-mtnt-testbed-machine-translation-noisy/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Paul Michel, Graham Neubig*2018 · 227 citations*
41. **[Beyond BLEU: Training Neural Machine Translation with Semantic Similarity](https://md.research.elamur.ai/free/en/papers/wieting-2019-beyond-bleu-training-neural-machine/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**John Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel, et al.*2019 · 223 citations*
42. **[FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow](https://md.research.elamur.ai/free/en/papers/ma-2019-flowseq-non-autoregressive-conditional-sequence/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xuezhe Ma, Chunting Zhou, Xian Li, et al.*2019 · 218 citations*
43. **[Systematic Inequalities in Language Technology Performance across the World's Languages](https://md.research.elamur.ai/free/en/papers/blasi-2022-systematic-inequalities-language-technology-performance/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Damian Blasi, Antonios Anastasopoulos, Graham Neubig*2022 · 216 citations*
44. **[Language Models of Code are Few-Shot Commonsense Learners ↗](https://arxiv.org/abs/2210.07128) arXiv:2210.07128 · no summary yet**Aman Madaan et al.*2022 · 212 citations*
45. **[Contextual Parameter Generation for Universal Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/platanios-2018-contextual-parameter-generation-universal-neural/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Emmanouil Antonios Platanios, Mrinmaya Sachan, Graham Neubig, et al.*2018 · 206 citations*
46. **[Stack-Pointer Networks for Dependency Parsing ↗](https://aclanthology.org/P18-1130/) Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Xuezhe Ma et al.*2018 · 201 citations*
47. **[Cross-Lingual Word Embeddings for Low-Resource Language Modeling ↗](https://aclanthology.org/E17-1088/) Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers · no summary yet**Oliver Adams et al.*2017 · 190 citations*
48. **[compare-mt: A Tool for Holistic Comparison of Language Generation Systems](https://md.research.elamur.ai/free/en/papers/neubig-2019-compare-mt-tool-holistic-comparison/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Graham Neubig, Zi-Yi Dou, Junjie Hu, et al.*2019 · 188 citations*
49. **[Guiding Neural Machine Translation with Retrieved Translation Pieces](https://md.research.elamur.ai/free/en/papers/zhang-2018-guiding-neural-machine-translation-retrieved/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Jingyi Zhang, Masao Utiyama, Eiichro Sumita, et al.*2018 · 188 citations*
50. **[Learning Language Representations for Typology Prediction](https://md.research.elamur.ai/free/en/papers/malaviya-2017-learning-language-representations-typology-prediction/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Chaitanya Malaviya, Graham Neubig, Patrick Littell*2017 · 187 citations*
51. **[VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks](https://md.research.elamur.ai/free/en/papers/koh-2024-visualwebarena-evaluating-multimodal-agents-realistic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jing Yu Koh, Robert Lo, Lawrence Jang, et al.*2024 · 184 citations*
52. **[Self-Attentional Acoustic Models ↗](https://doi.org/10.21437/interspeech.2018-1910) Interspeech (USB) · no summary yet**Matthias Sperber et al.*2018 · 182 citations*
53. **[Morphological Inflection Generation Using Character Sequence to Sequence Learning ↗](https://aclanthology.org/N16-1077/) Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Manaal Faruqui et al.*2016 · 181 citations*
54. **[Generalized Data Augmentation for Low-Resource Translation](https://md.research.elamur.ai/free/en/papers/xia-2019-generalized-data-augmentation-low-resource/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mengzhou Xia, Xiang Kong, Antonios Anastasopoulos, et al.*2019 · 179 citations*
55. **[In-IDE Code Generation from Natural Language: Promise and Challenges ↗](https://doi.org/10.1145/3487569) ACM Transactions on Software Engineering and Methodology · no summary yet**Frank F. Xu, Bogdan Vasilescu, Graham Neubig*2022 · 166 citations*
56. **[Can We Automate Scientific Reviewing? ↗](https://arxiv.org/abs/2102.00176) arXiv:2102.00176 · no summary yet**Weizhe Yuan, Pengfei Liu, Graham Neubig*2021 · 165 citations*
57. **[Stronger Baselines for Trustable Results in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/denkowski-2017-stronger-baselines-trustable-results-neural/) [Workshop on Neural Machine Translation](https://md.research.elamur.ai/free/en/venues/workshop-on-neural-machine-translation/)**Michael Denkowski, Graham Neubig*2017 · 165 citations*
58. **[Parameter Sharing Methods for Multilingual Self-Attentional Translation Models ↗](https://aclanthology.org/W18-6327/) Proceedings of the Third Conference on Machine Translation: Research Papers · no summary yet**Devendra Sachan, Graham Neubig*2018 · 164 citations*
59. **[On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models](https://md.research.elamur.ai/free/en/papers/michel-2019-evaluation-adversarial-perturbations-sequence-sequence/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Paul Michel, Xian Li, Graham Neubig, et al.*2019 · 162 citations*
60. **[Adaptation Data Selection using Neural Language Models: Experiments in Machine Translation ↗](https://aclanthology.org/P13-2119/) Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yet**Kevin Duh et al.*2013 · 162 citations*
61. **[Extreme Adaptation for Personalized Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/michel-2018-extreme-adaptation-personalized-neural-machine/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Paul Michel, Graham Neubig*2018 · 161 citations*
62. [**FacTool: Factuality Detection in Generative AI — A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios arXiv:2307.13528**I-Chun Chern, Steffi Chern, Shiqi Chen, et al.*2023 · 160 citations*](https://md.research.elamur.ai/free/en/papers/chern-2023-factool-factuality-detection-generative-ai/)
63. **[Bilingual Lexicon Induction with Semi-supervision in Non-Isometric Embedding Spaces](https://md.research.elamur.ai/free/en/papers/patra-2019-bilingual-lexicon-induction-semi-supervision/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Barun Patra, Joel Ruben Antony Moniz, Sarthak Garg, et al.*2019 · 159 citations*
64. **[The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation](https://md.research.elamur.ai/free/en/papers/fernandes-2023-devil-is-errors-leveraging-large/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Patrick Fernandes, Daniel Deutsch, Mara Finkelstein, et al.*2023 · 158 citations*
65. **[Evaluating Text-to-Visual Generation with Image-to-Text Generation ↗](https://doi.org/10.1007/978-3-031-72673-6_20) Lecture notes in computer science · no summary yet**Zhiqiu Lin et al.*2024 · 157 citations*
66. **[ChatGPT MT: Competitive for High- (but Not Low-) Resource Languages](https://md.research.elamur.ai/free/en/papers/robinson-2023-chatgpt-mt-competitive-high-but/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Nathaniel Robinson, Perez Ogayo, David R. Mortensen, et al.*2023 · 153 citations*
67. **[MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/adelani-2022-masakhaner-2-0-africa-centric/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**David Ifeoluwa Adelani, Graham Neubig, Sebastian Ruder, et al.*2022 · 151 citations*
68. **[Universal Phone Recognition with a Multilingual Allophone System ↗](https://doi.org/10.1109/icassp40776.2020.9054362) IEEE International Conference on Acoustics Speech and Signal Processing · no summary yet**Xinjian Li et al.*2020 · 147 citations*
69. **[Quality-Aware Decoding for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/fernandes-2022-quality-aware-decoding-neural-machine/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Patrick Fernandes, António Farinhas, Ricardo Rei, et al.*2022 · 146 citations*
70. **[Neural Machine Translation and Sequence-to-sequence Models: A Tutorial ↗](https://arxiv.org/abs/1703.01619) arXiv (Cornell University) · no summary yet**Graham Neubig*2017 · 141 citations*
71. **[Do LLMs Exhibit Human-like Response Biases? A Case Study in Survey Design](https://md.research.elamur.ai/free/en/papers/tjuatja-2024-do-llms-exhibit-human-like/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Lindia Tjuatja, Valerie Chen, Tongshuang Wu, et al.*2024 · 140 citations*
72. [**SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents arXiv:2310.11667**Xuhui Zhou, Hao Zhu, Leena Mathur, et al.*2023 · 138 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2023-sotopia-interactive-evaluation-social-intelligence/)
73. **[Balancing Training for Multilingual Neural Machine Translation ↗](https://aclanthology.org/2020.acl-main.754/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Xinyi Wang, Yulia Tsvetkov, Graham Neubig*2020 · 137 citations*
74. **[Pushing the Limits of Low-Resource Morphological Inflection](https://md.research.elamur.ai/free/en/papers/anastasopoulos-2019-pushing-limits-low-resource-morphological/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Antonios Anastasopoulos, Graham Neubig*2019 · 137 citations*
75. **[A Probabilistic Formulation of Unsupervised Text Style Transfer ↗](https://arxiv.org/abs/2002.03912) arXiv:2002.03912 · no summary yet**Junxian He et al.*2020 · 136 citations*
76. **[Efficient Nearest Neighbor Language Models](https://md.research.elamur.ai/free/en/papers/he-2021-efficient-nearest-neighbor-language-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick*2021 · 130 citations*
77. **[Attention-Passing Models for Robust and Data-Efficient End-to-End Speech Translation ↗](https://aclanthology.org/Q19-1020/) Transactions of the Association for Computational Linguistics · no summary yet**Matthias Sperber et al.*2019 · 129 citations*
78. **[Understanding Knowledge Distillation in Non-autoregressive Machine Translation ↗](https://arxiv.org/abs/1911.02727) arXiv (Cornell University) · no summary yet**Chunting Zhou, Graham Neubig, Jiatao Gu*2019 · 128 citations*
79. **[Optimizing Segmentation Strategies for Simultaneous Speech Translation ↗](https://aclanthology.org/P14-2090/) Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yet**Yusuke Oda et al.*2014 · 127 citations*
80. **[CodeBERTScore: Evaluating Code Generation with Pretrained Models of Code ↗](https://aclanthology.org/2023.emnlp-main.859/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yet**Shuyan Zhou et al.*2023 · 126 citations*
81. **[A Systematic Evaluation of Large Language Models of Code ↗](https://arxiv.org/abs/2202.13169) arXiv:2202.13169 · no summary yet**Frank F. Xu et al.*2022 · 125 citations*
82. **[MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark ↗](https://arxiv.org/abs/2409.02813) arXiv:2409.02813 · no summary yet**Xiang Yue et al.*2024 · 123 citations*
83. **[Retrieval-Based Neural Code Generation ↗](https://aclanthology.org/D18-1111/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Shirley Anugrah Hayati et al.*2018 · 122 citations*
84. **[StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing ↗](https://aclanthology.org/P18-1070/) Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Pengcheng Yin et al.*2018 · 122 citations*
85. [**Demystifying Long Chain-of-Thought Reasoning in LLMs arXiv:2502.03373**Edward Yeo, Yuxuan Tong, Morry Niu, et al.*2025 · 119 citations*](https://md.research.elamur.ai/free/en/papers/yeo-2025-demystifying-long-chain-thought-reasoning/)
86. **[Testing the Ability of Language Models to Interpret Figurative Language](https://md.research.elamur.ai/free/en/papers/liu-2022-testing-ability-language-models-interpret/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Emmy Liu, Chenxuan Cui, Kenneth Zheng, et al.*2022 · 114 citations*
87. **[Evaluating Explanations: How Much Do Explanations from the Teacher Aid Students?](https://md.research.elamur.ai/free/en/papers/pruthi-2022-evaluating-explanations-how-much-do/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Danish Pruthi, Rachit Bansal, Bhuwan Dhingra, et al.*2022 · 113 citations*
88. **[An Unsupervised Model for Joint Phrase Alignment and Extraction ↗](https://aclanthology.org/P11-1064/) Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Graham Neubig et al.*2011 · 112 citations*
89. **[Large Language Models Enable Few-Shot Clustering](https://md.research.elamur.ai/free/en/papers/viswanathan-2024-large-language-models-enable-few/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Vijay Viswanathan, Kiril Gashteovski, Carolin Lawrence, et al.*2024 · 111 citations*
90. **[Unlimiformer: Long-Range Transformers with Unlimited Length Input ↗](https://arxiv.org/abs/2305.01625) arXiv:2305.01625 · no summary yet**Amanda Bertsch et al.*2023 · 111 citations*
91. **[Domain Adaptation of Neural Machine Translation by Lexicon Induction ↗](https://aclanthology.org/P19-1286/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Junjie Hu et al.*2019 · 109 citations*
92. **[X-FACTR: Multilingual Factual Knowledge Retrieval from Pretrained Language Models ↗](https://aclanthology.org/2020.emnlp-main.479/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Zhengbao Jiang et al.*2020 · 108 citations*
93. **[Improving Robustness of Machine Translation with Synthetic Noise ↗](https://aclanthology.org/N19-1190/) Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yet**Vaibhav et al.*2019 · 106 citations*
94. **[Mega: Moving Average Equipped Gated Attention ↗](https://arxiv.org/abs/2209.10655) arXiv (Cornell University) · no summary yet**Xuezhe Ma et al.*2022 · 103 citations*
95. **[DIRE: A Neural Approach to Decompiled Identifier Naming ↗](https://doi.org/10.1109/ase.2019.00064) IEEE/ACM International Conference on Automated Software Engineering (ASE) · no summary yet**Jeremy Lacomis et al.*2019 · 102 citations*
96. [**Fine-grained Hallucination Detection and Editing for Language Models arXiv:2401.06855**Abhika Mishra, Akari Asai, Vidhisha Balachandran, et al.*2024 · 100 citations*](https://md.research.elamur.ai/free/en/papers/mishra-2024-fine-grained-hallucination-detection-editing/)
97. **[Neural Lattice-to-Sequence Models for Uncertain Inputs ↗](https://aclanthology.org/D17-1145/) Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yet**Matthias Sperber et al.*2017 · 99 citations*
98. **[NusaCrowd: Open Source Initiative for Indonesian NLP Resources ↗](https://aclanthology.org/2023.findings-acl.868/) Findings of the Association for Computational Linguistics: ACL 2023 · no summary yet**Samuel Cahyawijaya et al.*2023 · 95 citations*
99. **[Controllable Invariance through Adversarial Feature Learning ↗](https://arxiv.org/abs/1705.11122) arXiv (Cornell University) · no summary yet**Qizhe Xie et al.*2017 · 95 citations*
100. **[Measuring and Increasing Context Usage in Context-Aware Machine Translation ↗](https://aclanthology.org/2021.acl-long.505/) Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yet**Patrick Fernandes et al.*2021 · 94 citations*

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