{"total":54,"rows":[{"id":"2209.15558","title":"Out-of-Distribution Detection and Selective Generation for Conditional Language Models","created":"2022-09-30","cited_by_count":197,"area":null},{"id":"2301.08745","title":"Is ChatGPT A Good Translator? Yes With GPT-4 As The Engine","created":"2023-01-20","cited_by_count":176,"area":null},{"id":"2107.07455","title":"Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks","created":"2021-07-15","cited_by_count":101,"area":null},{"id":"2210.03050","title":"State-of-the-art generalisation research in NLP: A taxonomy and review","created":"2022-10-06","cited_by_count":98,"area":null},{"id":"2104.08211","title":"Robust Open-Vocabulary Translation from Visual Text Representations","created":"2021-04-16","cited_by_count":47,"area":null},{"id":"2105.14802","title":"On Compositional Generalization of Neural Machine Translation","created":"2021-05-31","cited_by_count":34,"area":null},{"id":"2206.02291","title":"Pretrained Models for Multilingual Federated Learning","created":"2022-06-06","cited_by_count":30,"area":null},{"id":"2205.04022","title":"CoCoA-MT: A Dataset and Benchmark for Contrastive Controlled MT with Application to Formality","created":"2022-05-09","cited_by_count":24,"area":null},{"id":"2206.15407","title":"Shifts 2.0: Extending The Dataset of Real Distributional Shifts","created":"2022-06-30","cited_by_count":24,"area":null},{"id":"2204.06340","title":"Distributionally Robust Models with Parametric Likelihood Ratios","created":"2022-04-13","cited_by_count":17,"area":null},{"id":"2305.03573","title":"In-context Learning as Maintaining Coherency: A Study of On-the-fly Machine Translation Using Large Language Models","created":"2023-05-05","cited_by_count":10,"area":null},{"id":"2305.17267","title":"CODET: A Benchmark for Contrastive Dialectal Evaluation of Machine Translation","created":"2023-05-26","cited_by_count":9,"area":null},{"id":"2403.03923","title":"Did Translation Models Get More Robust Without Anyone Even Noticing?","created":"2024-03-06","cited_by_count":9,"area":null},{"id":"2107.08357","title":"As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical Translation","created":"2021-07-18","cited_by_count":8,"area":null},{"id":"2110.07428","title":"Understanding Model Robustness to User-generated Noisy Texts","created":"2021-10-14","cited_by_count":8,"area":null},{"id":"2201.01609","title":"All You Need In Sign Language Production","created":"2022-01-05","cited_by_count":8,"area":null},{"id":"2104.09810","title":"Addressing the Vulnerability of NMT in Input Perturbations","created":"2021-04-20","cited_by_count":6,"area":null},{"id":"2305.02790","title":"BranchNorm: Robustly Scaling Extremely Deep Transformers","created":"2023-05-04","cited_by_count":6,"area":null},{"id":"2110.12552","title":"Noisy UGC Translation at the Character Level: Revisiting Open-Vocabulary Capabilities and Robustness of Char-Based Models","created":"2021-10-24","cited_by_count":5,"area":null},{"id":"2305.10384","title":"Logit-Based Ensemble Distribution Distillation for Robust Autoregressive Sequence Uncertainties","created":"2023-05-17","cited_by_count":5,"area":null},{"id":"2310.16955","title":"Break it, Imitate it, Fix it: Robustness by Generating Human-Like Attacks","created":"2023-10-25","cited_by_count":5,"area":null},{"id":"2505.19800","title":"MOLE: Metadata Extraction and Validation in Scientific Papers Using LLMs","created":"2025-05-26","cited_by_count":5,"area":null},{"id":"2110.09646","title":"Monotonic Simultaneous Translation with Chunk-wise Reordering and Refinement","created":"2021-10-18","cited_by_count":4,"area":null},{"id":"2203.08909","title":"Morphological Processing of Low-Resource Languages: Where We Are and What's Next","created":"2022-03-16","cited_by_count":4,"area":null},{"id":"2204.08689","title":"Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation","created":"2022-04-19","cited_by_count":4,"area":null},{"id":"2110.12551","title":"Understanding the Impact of UGC Specificities on Translation Quality","created":"2021-10-24","cited_by_count":3,"area":null},{"id":"2211.14451","title":"GLAMI-1M: A Multilingual Image-Text Fashion Dataset","created":"2022-11-17","cited_by_count":3,"area":null},{"id":"2305.16581","title":"An Investigation of Noise in Morphological Inflection","created":"2023-05-26","cited_by_count":3,"area":null},{"id":"2310.13469","title":"Ask Language Model to Clean Your Noisy Translation Data","created":"2023-10-20","cited_by_count":3,"area":null},{"id":"2501.16836","title":"Misspellings in Natural Language Processing: A survey","created":"2025-01-28","cited_by_count":3,"area":null},{"id":"2603.12248","title":"Matching Features, Not Tokens: Energy-Based Fine-Tuning of Language Models","created":"2026-03-12","cited_by_count":3,"area":null},{"id":"2103.07352","title":"Visual Cues and Error Correction for Translation Robustness","created":"2021-03-12","cited_by_count":2,"area":null},{"id":"2110.13229","title":"Distributionally Robust Recurrent Decoders with Random Network Distillation","created":"2021-10-25","cited_by_count":2,"area":null},{"id":"2401.07456","title":"Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation","created":"2024-01-15","cited_by_count":2,"area":null},{"id":"2407.07413","title":"KpopMT: Translation Dataset with Terminology for Kpop Fandom","created":"2024-07-10","cited_by_count":2,"area":null},{"id":"2601.22931","title":"Benchmarking Machine Translation on Chinese Social Media Texts","created":"2026-01-30","cited_by_count":2,"area":null},{"id":"2101.12462","title":"Synthesizing Monolingual Data for Neural Machine Translation","created":"2021-01-29","cited_by_count":1,"area":null},{"id":"2110.05691","title":"Doubly-Trained Adversarial Data Augmentation for Neural Machine Translation","created":"2021-10-12","cited_by_count":1,"area":null},{"id":"2210.11670","title":"SIT at MixMT 2022: Fluent Translation Built on Giant Pre-trained Models","created":"2022-10-21","cited_by_count":1,"area":null},{"id":"2307.12835","title":"Joint Dropout: Improving Generalizability in Low-Resource Neural Machine Translation through Phrase Pair Variables","created":"2023-07-24","cited_by_count":1,"area":null},{"id":"2403.15210","title":"Early Period of Training Impacts Adaptation for Out-of-Distribution Generalization: An Empirical Study","created":"2024-03-22","cited_by_count":1,"area":null},{"id":"2403.17220","title":"Making Sentence Embeddings Robust to User-Generated Content","created":"2024-03-25","cited_by_count":1,"area":null},{"id":"2409.15664","title":"Mitigating Semantic Leakage in Cross-lingual Embeddings via Orthogonality Constraint","created":"2024-09-24","cited_by_count":1,"area":null},{"id":"2505.14244","title":"TransBench: Benchmarking Machine Translation for Industrial-Scale Applications","created":"2025-05-20","cited_by_count":1,"area":null},{"id":"2603.08647","title":"Grow, Don't Overwrite: Fine-tuning Without Forgetting","created":"2026-03-09","cited_by_count":1,"area":null},{"id":"2104.04840","title":"Sentiment-based Candidate Selection for NMT","created":"2021-04-10","cited_by_count":0,"area":null},{"id":"2205.12514","title":"Machine Translation Robustness to Natural Asemantic Variation","created":"2022-05-25","cited_by_count":0,"area":null},{"id":"2301.13753","title":"Dynamic Scheduled Sampling with Imitation Loss for Neural Text Generation","created":"2023-01-31","cited_by_count":0,"area":null},{"id":"2310.14110","title":"Finite-context Indexing of Restricted Output Space for NLP Models Facing Noisy Input","created":"2023-10-21","cited_by_count":0,"area":null},{"id":"2404.01940","title":"Towards Better Understanding of Cybercrime: The Role of Fine-Tuned LLMs in Translation","created":"2024-04-02","cited_by_count":0,"area":null},{"id":"2405.07673","title":"An Empirical Study on the Robustness of Massively Multilingual Neural Machine Translation","created":"2024-05-13","cited_by_count":0,"area":null},{"id":"2512.17738","title":"When the Gold Standard Isn't Necessarily Standard: Challenges of Evaluating the Translation of User-Generated Content","created":"2025-12-19","cited_by_count":0,"area":null},{"id":"2602.13905","title":"Pre-Editorial Normalization for Automatically Transcribed Medieval Manuscripts in Old French and Latin","created":"2026-02-14","cited_by_count":0,"area":null},{"id":"2605.28315","title":"HardMTBench: Stress-Testing Chinese-English Translation on Knowledge-Intensive Domains","created":"2026-05-27","cited_by_count":0,"area":null}],"next_cursor":null}