| Self-refine: Iterative refinement with self-feedback A Madaan, N Tandon, P Gupta, S Hallinan, L Gao, S Wiegreffe, U Alon, ... Neurips 2023, 2023 | 544 | 2023 |
| Automatic dialogue generation with expressed emotions C Huang, OR Zaiane, A Trabelsi, N Dziri Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 175 | 2018 |
| Faith and Fate: Limits of Transformers on Compositionality N Dziri, X Lu, M Sclar, XL Li, L Jian, BY Lin, P West, C Bhagavatula, ... Neurips 2023, 2023 | 163 | 2023 |
| On the origin of hallucinations in conversational models: Is it the datasets or the models? N Dziri, S Milton, M Yu, O Zaiane, S Reddy NAACL 2022, 2022 | 119 | 2022 |
| Evaluating coherence in dialogue systems using entailment N Dziri, E Kamalloo, KW Mathewson, O Zaiane NAACL 2018, 2019 | 106 | 2019 |
| Neural path hunter: Reducing hallucination in dialogue systems via path grounding N Dziri, A Madotto, O Zaiane, AJ Bose EMNLP 2021, 2021 | 97 | 2021 |
| Augmenting neural response generation with context-aware topical attention N Dziri, E Kamalloo, KW Mathewson, O Zaiane Neurips Workshop 2018, 2018 | 88 | 2018 |
| Evaluating attribution in dialogue systems: The BEGIN benchmark N Dziri, H Rashkin, T Linzen, D Reitter Transactions of the Association for Computational Linguistics 10, 1066-1083, 2022 | 74* | 2022 |
| Evaluating Open-Domain Question Answering in the Era of Large Language Models E Kamalloo, N Dziri, CLA Clarke, D Rafiei ACL 2023, 2023 | 63 | 2023 |
| FaithDial: A Faithful Benchmark for Information-Seeking Dialogue N Dziri, E Kamalloo, S Milton, O Zaiane, M Yu, EM Ponti, S Reddy Transactions of the Association for Computational Linguistics 10, 1473-1490, 2022 | 55 | 2022 |
| The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning BY Lin, A Ravichander, X Lu, N Dziri, M Sclar, K Chandu, C Bhagavatula, ... ICLR 2024, 2023 | 48 | 2023 |
| Decomposed mutual information estimation for contrastive representation learning A Sordoni, N Dziri, H Schulz, G Gordon, P Bachman, RT Des Combes International Conference on Machine Learning, 9859-9869, 2021 | 31 | 2021 |
| Fine-Grained Human Feedback Gives Better Rewards for Language Model Training Z Wu, Y Hu, W Shi, N Dziri, A Suhr, P Ammanabrolu, NA Smith, ... Neurips 2023, 2023 | 29 | 2023 |
| Elastic weight removal for faithful and abstractive dialogue generation N Daheim, N Dziri, M Sachan, I Gurevych, EM Ponti arXiv preprint arXiv:2303.17574, 2023 | 19 | 2023 |
| Phenomenal yet puzzling: Testing inductive reasoning capabilities of language models with hypothesis refinement L Qiu, L Jiang, X Lu, M Sclar, V Pyatkin, C Bhagavatula, B Wang, Y Kim, ... ICLR 2024, 2023 | 18 | 2023 |
| Value Kaleidoscope: Engaging AI with pluralistic human values, rights, and duties T Sorensen, L Jiang, J Hwang, S Levine, V Pyatkin, P West, N Dziri, X Lu, ... AAAI 2024, 2023 | 18 | 2023 |
| Rewardbench: Evaluating reward models for language modeling N Lambert, V Pyatkin, J Morrison, LJ Miranda, BY Lin, K Chandu, N Dziri, ... arXiv preprint arXiv:2403.13787, 2024 | 9 | 2024 |
| A Roadmap to Pluralistic Alignment T Sorensen, J Moore, J Fisher, M Gordon, N Mireshghallah, CM Rytting, ... arXiv preprint arXiv:2402.05070, 2024 | 5 | 2024 |
| The Generative AI Paradox:" What It Can Create, It May Not Understand" P West, X Lu, N Dziri, F Brahman, L Li, JD Hwang, L Jiang, J Fisher, ... ICLR 2024, 2023 | 5 | 2023 |
| Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning X Lu, F Brahman, P West, J Jang, K Chandu, A Ravichander, L Qin, ... EMNLP 2023, 2023 | 4 | 2023 |
Yejin ChoiUniversity of Washington / Allen Institute for Artificial Intelligence在 cs.washington.edu 的电子邮件经过验证
