| The language barrier: Dissecting safety challenges of llms in multilingual contexts L Shen, W Tan, S Chen, Y Chen, J Zhang, H Xu, B Zheng, P Koehn, ... arXiv preprint arXiv:2401.13136, 2024 | 33 | 2024 |
| On the blind spots of model-based evaluation metrics for text generation T He, J Zhang, T Wang, S Kumar, K Cho, J Glass, Y Tsvetkov arXiv preprint arXiv:2212.10020, 2022 | 31 | 2022 |
| Semstamp: A semantic watermark with paraphrastic robustness for text generation AB Hou, J Zhang, T He, Y Wang, YS Chuang, H Wang, L Shen, ... arXiv preprint arXiv:2310.03991, 2023 | 28 | 2023 |
| On the zero-shot generalization of machine-generated text detectors X Pu, J Zhang, X Han, Y Tsvetkov, T He arXiv preprint arXiv:2310.05165, 2023 | 16 | 2023 |
| Self-[in] correct: Llms struggle with refining self-generated responses D Jiang, J Zhang, O Weller, N Weir, B Van Durme, D Khashabi arXiv preprint arXiv:2404.04298, 2024 | 12 | 2024 |
| Changes in tweet geolocation over time: A study with carmen 2.0 J Zhang, A DeLucia, M Dredze Proceedings of the Eighth Workshop on Noisy User-generated Text (W-NUT 2022 …, 2022 | 10 | 2022 |
| Verifiable by Design: Aligning Language Models to Quote from Pre-Training Data J Zhang, M Marone, T Li, B Van Durme, D Khashabi arXiv preprint arXiv:2404.03862, 2024 | 5 | 2024 |
| Study of manifestation of civil unrest on Twitter A Chinta, J Zhang, A DeLucia, M Dredze, AL Buczak Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021 …, 2021 | 5 | 2021 |
| k-SemStamp: A Clustering-Based Semantic Watermark for Detection of Machine-Generated Text AB Hou, J Zhang, Y Wang, D Khashabi, T He arXiv preprint arXiv:2402.11399, 2024 | 4 | 2024 |
| PCFG-based Natural Language Interface Improves Generalization for Controlled Text Generation J Zhang, J Glass, T He arXiv preprint arXiv:2210.07431, 2022 | 4 | 2022 |
| Geo-seq2seq: Twitter user geolocation on noisy data through sequence to sequence learning J Zhang, A DeLucia, C Zhang, M Dredze Findings of the Association for Computational Linguistics: ACL 2023, 4778-4794, 2023 | 3 | 2023 |
| Tur [k] ingBench: A Challenge Benchmark for Web Agents K Xu, Y Kordi, T Nayak, A Asija, Y Wang, K Sanders, A Byerly, J Zhang, ... arXiv preprint arXiv:2403.11905, 2024 | 2 | 2024 |
| Core: Robust Factual Precision Scoring with Informative Sub-Claim Identification Z Jiang, J Zhang, N Weir, S Ebner, M Wanner, K Sanders, D Khashabi, ... arXiv e-prints, arXiv: 2407.03572, 2024 | 1 | 2024 |
| Controllable Safety Alignment: Inference-Time Adaptation to Diverse Safety Requirements J Zhang, A Elgohary, A Magooda, D Khashabi, B Van Durme arXiv preprint arXiv:2410.08968, 2024 | | 2024 |
| DiffNorm: Self-Supervised Normalization for Non-autoregressive Speech-to-speech Translation W Tan, J Zhang, L Shen, D Khashabi, P Koehn arXiv preprint arXiv:2405.13274, 2024 | | 2024 |
Daniel KhashabiJohns Hopkins UniversityVerified email at jhu.edu
