{"total":88,"rows":[{"id":"2401.08417","title":"Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation","created":"2024-01-16","cited_by_count":394,"area":"alignment"},{"id":"2310.10482","title":"xCOMET: Transparent Machine Translation Evaluation through Fine-grained Error Detection","created":"2023-10-16","cited_by_count":265,"area":null},{"id":"2402.17733","title":"Tower: An Open Multilingual Large Language Model for Translation-Related Tasks","created":"2024-02-27","cited_by_count":206,"area":null},{"id":"2502.02481","title":"Multilingual Machine Translation with Open Large Language Models at Practical Scale: An Empirical Study","created":"2025-02-04","cited_by_count":38,"area":null},{"id":"2410.15037","title":"mHumanEval -- A Multilingual Benchmark to Evaluate Large Language Models for Code Generation","created":"2024-10-19","cited_by_count":32,"area":null},{"id":"2310.19792","title":"The Eval4NLP 2023 Shared Task on Prompting Large Language Models as Explainable Metrics","created":"2023-10-30","cited_by_count":23,"area":null},{"id":"2409.03454","title":"How Much Data is Enough Data? Fine-Tuning Large Language Models for In-House Translation: Performance Evaluation Across Multiple Dataset Sizes","created":"2024-09-05","cited_by_count":17,"area":null},{"id":"2405.18348","title":"Can Automatic Metrics Assess High-Quality Translations?","created":"2024-05-28","cited_by_count":16,"area":null},{"id":"2406.00049","title":"QUEST: Quality-Aware Metropolis-Hastings Sampling for Machine Translation","created":"2024-05-28","cited_by_count":16,"area":null},{"id":"2411.03524","title":"Mitigating Metric Bias in Minimum Bayes Risk Decoding","created":"2024-11-05","cited_by_count":16,"area":null},{"id":"2401.17099","title":"MT-Ranker: Reference-free machine translation evaluation by inter-system ranking","created":"2024-01-30","cited_by_count":14,"area":null},{"id":"2503.04554","title":"Compositional Translation: A Novel LLM-based Approach for Low-resource Machine Translation","created":"2025-03-06","cited_by_count":14,"area":null},{"id":"2504.01001","title":"Zero-shot Benchmarking: A Framework for Flexible and Scalable Automatic Evaluation of Language Models","created":"2025-04-01","cited_by_count":14,"area":null},{"id":"2310.08958","title":"xDial-Eval: A Multilingual Open-Domain Dialogue Evaluation Benchmark","created":"2023-10-13","cited_by_count":13,"area":null},{"id":"2407.15343","title":"Improving Minimum Bayes Risk Decoding with Multi-Prompt","created":"2024-07-22","cited_by_count":13,"area":null},{"id":"2505.16637","title":"SSR-Zero: Simple Self-Rewarding Reinforcement Learning for Machine Translation","created":"2025-05-22","cited_by_count":13,"area":"alignment"},{"id":"2411.10954","title":"Dialectal Toxicity Detection: Evaluating LLM-as-a-Judge Consistency Across Language Varieties","created":"2024-11-17","cited_by_count":12,"area":null},{"id":"2411.05986","title":"Fine-Grained Reward Optimization for Machine Translation using Error Severity Mappings","created":"2024-11-08","cited_by_count":11,"area":"alignment"},{"id":"2504.12140","title":"Multilingual Contextualization of Large Language Models for Document-Level Machine Translation","created":"2025-04-16","cited_by_count":11,"area":null},{"id":"2408.15366","title":"Pitfalls and Outlooks in Using COMET","created":"2024-08-27","cited_by_count":10,"area":null},{"id":"2410.05183","title":"Beyond Correlation: Interpretable Evaluation of Machine Translation Metrics","created":"2024-10-07","cited_by_count":10,"area":null},{"id":"2410.10995","title":"Watching the Watchers: Exposing Gender Disparities in Machine Translation Quality Estimation","created":"2024-10-14","cited_by_count":10,"area":null},{"id":"2410.21485","title":"SpeechQE: Estimating the Quality of Direct Speech Translation","created":"2024-10-28","cited_by_count":10,"area":null},{"id":"2506.19571","title":"Has Machine Translation Evaluation Achieved Human Parity? The Human Reference and the Limits of Progress","created":"2025-06-24","cited_by_count":10,"area":null},{"id":"2510.24707","title":"MetricX-25 and GemSpanEval: Google Translate Submissions to the WMT25 Evaluation Shared Task","created":"2025-10-28","cited_by_count":10,"area":null},{"id":"2312.13871","title":"Evaluating Task-oriented Dialogue Systems: A Systematic Review of Measures, Constructs and their Operationalisations","created":"2023-12-21","cited_by_count":9,"area":null},{"id":"2504.13630","title":"Remedy: Learning Machine Translation Evaluation from Human Preferences with Reward Modeling","created":"2025-04-18","cited_by_count":9,"area":"alignment"},{"id":"2504.17720","title":"Multilingual Performance Biases of Large Language Models in Education","created":"2025-04-24","cited_by_count":9,"area":null},{"id":"2410.07779","title":"Modeling User Preferences with Automatic Metrics: Creating a High-Quality Preference Dataset for Machine Translation","created":"2024-10-10","cited_by_count":8,"area":"alignment"},{"id":"2412.15035","title":"LLMs Lost in Translation: M-ALERT uncovers Cross-Linguistic Safety Inconsistencies","created":"2024-12-19","cited_by_count":7,"area":null},{"id":"2501.04473","title":"When LLMs Struggle: Reference-less Translation Evaluation for Low-resource Languages","created":"2025-01-08","cited_by_count":7,"area":null},{"id":"2509.21837","title":"Semantic Agreement Enables Efficient Open-Ended LLM Cascades","created":"2025-09-26","cited_by_count":7,"area":null},{"id":"2502.06600","title":"Evaluation of Multilingual Image Captioning: How far can we get with CLIP models?","created":"2025-02-10","cited_by_count":5,"area":null},{"id":"2506.08403","title":"TACTIC: Translation Agents with Cognitive-Theoretic Interactive Collaboration","created":"2025-06-10","cited_by_count":5,"area":"agents"},{"id":"2506.12376","title":"ConsistencyChecker: Tree-based Evaluation of LLM Generalization Capabilities","created":"2025-06-14","cited_by_count":5,"area":null},{"id":"2408.16440","title":"Instruction-tuned Large Language Models for Machine Translation in the Medical Domain","created":"2024-08-29","cited_by_count":4,"area":null},{"id":"2409.20059","title":"Is Preference Alignment Always the Best Option to Enhance LLM-Based Translation? An Empirical Analysis","created":"2024-09-30","cited_by_count":4,"area":"alignment"},{"id":"2410.17736","title":"MojoBench: Language Modeling and Benchmarks for Mojo","created":"2024-10-23","cited_by_count":4,"area":null},{"id":"2502.12701","title":"Translate Smart, not Hard: Cascaded Translation Systems with Quality-Aware Deferral","created":"2025-02-18","cited_by_count":4,"area":null},{"id":"2502.19941","title":"Alleviating Distribution Shift in Synthetic Data for Machine Translation Quality Estimation","created":"2025-02-27","cited_by_count":4,"area":"alignment"},{"id":"2509.14493","title":"Translate, then Detect: Leveraging Machine Translation for Cross-Lingual Toxicity Classification","created":"2025-09-17","cited_by_count":4,"area":null},{"id":"2509.20287","title":"Feeding Two Birds or Favoring One? Adequacy-Fluency Tradeoffs in Evaluation and Meta-Evaluation of Machine Translation","created":"2025-09-24","cited_by_count":4,"area":null},{"id":"2510.13434","title":"$M^2PO$: Multi-Perspective Multi-Pair Preference Optimization for Machine Translation","created":"2025-10-15","cited_by_count":4,"area":"alignment"},{"id":"2512.11074","title":"MultiScript30k: Leveraging Multilingual Embeddings to Extend Cross Script Parallel Data","created":"2025-12-11","cited_by_count":4,"area":null},{"id":"2602.11961","title":"Scaling Model and Data for Multilingual Machine Translation with Open Large Language Models","created":"2026-02-12","cited_by_count":4,"area":null},{"id":"2401.16247","title":"Towards Red Teaming in Multimodal and Multilingual Translation","created":"2024-01-29","cited_by_count":3,"area":"safety"},{"id":"2408.11512","title":"IKUN for WMT24 General MT Task: LLMs Are here for Multilingual Machine Translation","created":"2024-08-21","cited_by_count":3,"area":null},{"id":"2410.02320","title":"Post-edits Are Preferences Too","created":"2024-10-03","cited_by_count":3,"area":"alignment"},{"id":"2501.13927","title":"CRPO: Confidence-Reward Driven Preference Optimization for Machine Translation","created":"2025-01-23","cited_by_count":3,"area":"alignment"},{"id":"2601.03790","title":"NeoAMT: Neologism-Aware Agentic Machine Translation with Reinforcement Learning","created":"2026-01-07","cited_by_count":3,"area":"agents"},{"id":"2408.11853","title":"PyMarian: Fast Neural Machine Translation and Evaluation in Python","created":"2024-08-15","cited_by_count":2,"area":null},{"id":"2509.19770","title":"EnAnchored-X2X: English-Anchored Optimization for Many-to-Many Translation","created":"2025-09-24","cited_by_count":2,"area":null},{"id":"2510.22028","title":"Penalizing Length: Uncovering Systematic Bias in Quality Estimation Metrics","created":"2025-10-24","cited_by_count":2,"area":null},{"id":"2601.23183","title":"JobResQA: A Benchmark for LLM Machine Reading Comprehension on Multilingual R\\'esum\\'es and JDs","created":"2026-01-30","cited_by_count":2,"area":null},{"id":"2602.14028","title":"GRRM: Group Relative Reward Modeling for Machine Translation","created":"2026-02-15","cited_by_count":2,"area":"lr"},{"id":"2408.05882","title":"Creating Arabic LLM Prompts at Scale","created":"2024-08-12","cited_by_count":1,"area":null},{"id":"2502.12050","title":"SpeechT: Findings of the First Mentorship in Speech Translation","created":"2025-02-17","cited_by_count":1,"area":null},{"id":"2503.22973","title":"XL-Suite: Cross-Lingual Synthetic Training and Evaluation Data for Open-Ended Generation","created":"2025-03-29","cited_by_count":1,"area":null},{"id":"2505.24472","title":"VietMix: A Naturally-Occurring Parallel Corpus and Augmentation Framework for Vietnamese-English Code-Mixed Machine Translation","created":"2025-05-30","cited_by_count":1,"area":null},{"id":"2506.14199","title":"MAS-LitEval : Multi-Agent System for Literary Translation Quality Assessment","created":"2025-06-17","cited_by_count":1,"area":"agents"},{"id":"2508.14909","title":"Preliminary Ranking of WMT25 General Machine Translation Systems","created":"2025-08-11","cited_by_count":1,"area":null},{"id":"2601.06307","title":"A Rising Tide Lifts All Boats: MTQE Rewards for Idioms Improve General Translation Quality","created":"2026-01-09","cited_by_count":1,"area":null},{"id":"2601.18006","title":"PEAR: Pairwise Evaluation for Automatic Relative Scoring in Machine Translation","created":"2026-01-25","cited_by_count":1,"area":null},{"id":"2602.03352","title":"PEGRL: Improving Machine Translation by Post-Editing Guided Reinforcement Learning","created":"2026-02-03","cited_by_count":1,"area":"lr"},{"id":"2602.22207","title":"Recovered in Translation: Efficient Pipeline for Automated Translation of Benchmarks and Datasets","created":"2026-02-25","cited_by_count":1,"area":null},{"id":"2604.21045","title":"Hierarchical Policy Optimization for Simultaneous Translation of Unbounded Speech","created":"2026-04-22","cited_by_count":1,"area":null},{"id":"2604.21420","title":"FairQE: Multi-Agent Framework for Mitigating Gender Bias in Translation Quality Estimation","created":"2026-04-23","cited_by_count":1,"area":"agents"},{"id":"2605.23721","title":"Is a Document Educational or Just Wikipedia-Style? -- Pitfalls of Classifier-Based Quality Filtering","created":"2026-05-21","cited_by_count":1,"area":null},{"id":"2404.01481","title":"A Study on Scaling Up Multilingual News Framing Analysis","created":"2024-04-01","cited_by_count":0,"area":null},{"id":"2406.11632","title":"Unveiling the Power of Source: Source-based Minimum Bayes Risk Decoding for Neural Machine Translation","created":"2024-06-17","cited_by_count":0,"area":null},{"id":"2408.11327","title":"Plug, Play, and Fuse: Zero-Shot Joint Decoding via Word-Level Re-ranking Across Diverse Vocabularies","created":"2024-08-21","cited_by_count":0,"area":null},{"id":"2410.03381","title":"Cogs in a Machine, Doing What They're Meant to Do -- The AMI Submission to the WMT24 General Translation Task","created":"2024-10-04","cited_by_count":0,"area":null},{"id":"2410.11693","title":"BridG MT: Enhancing LLMs' Machine Translation Capabilities with Sentence Bridging and Gradual MT","created":"2024-10-15","cited_by_count":0,"area":null},{"id":"2508.07484","title":"ALOPE: Adaptive Layer Optimization for Translation Quality Estimation using Large Language Models","created":"2025-08-10","cited_by_count":0,"area":null},{"id":"2602.19840","title":"SAMAS: A Spectrum-Guided Multi-Agent System for Achieving Style Fidelity in Literary Translation","created":"2026-02-23","cited_by_count":0,"area":"agents"},{"id":"2603.10775","title":"Large Language Models as Annotators for Machine Translation Quality Estimation","created":"2026-03-11","cited_by_count":0,"area":null},{"id":"2604.01957","title":"Diagnosing Translated Benchmarks: An Automated Quality Assurance Study of the EU20 Benchmark Suite","created":"2026-04-02","cited_by_count":0,"area":null},{"id":"2604.19144","title":"ReflectMT: Internalizing Reflection for Efficient and High-Quality Machine Translation","created":"2026-04-21","cited_by_count":0,"area":"lr"},{"id":"2605.15976","title":"Reference-Free Reinforcement Learning Fine-Tuning for MT: A Seq2Seq Perspective","created":"2026-05-15","cited_by_count":0,"area":"alignment"},{"id":"2606.00285","title":"Model-Based Quality Assessment for Massively Multilingual Parallel Data","created":"2026-05-29","cited_by_count":0,"area":null},{"id":"2606.08748","title":"HydraQE: OSU's Submission for the IWSLT 2026 Speech Translation Metrics Shared Task","created":"2026-06-07","cited_by_count":0,"area":null},{"id":"2608.08606","title":"Mitigating Gender Bias in English to Romanian Machine Translation","created":"2026-08-09","cited_by_count":0,"area":null},{"id":"2608.10812","title":"Reference-Free Post-Training of Open Large Language Models for Multilingual Machine Translation","created":"2026-08-11","cited_by_count":0,"area":null},{"id":"2608.16344","title":"IndicQE-APE: A Consolidated Benchmark for Quality Estimation and Automatic Post-Editing for Indic Languages","created":"2026-08-17","cited_by_count":0,"area":null},{"id":"2608.22490","title":"Who Pays More for Safety? Measuring the Disparate Cost of Safety Alignment across Languages","created":"2026-08-23","cited_by_count":0,"area":"alignment"},{"id":"2609.05949","title":"The Blindness of Document-Level Translation Evaluation","created":"2026-09-05","cited_by_count":0,"area":null},{"id":"2609.12674","title":"Doc2FRC: Length-Consistent Document-Level Machine Translation via Fixed-Range Chunking","created":"2026-09-11","cited_by_count":0,"area":null},{"id":"2609.13611","title":"In the Blind: Building Pseudo-References for MT Evaluation","created":"2026-09-11","cited_by_count":0,"area":null}],"next_cursor":null}