---
title: "Who cites Bleu: a Method for Automatic Evaluation of…"
description: "The papers of the Elamur Research library that cite «Bleu: a Method for Automatic Evaluation of Machine Translation», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/18/"
---
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# Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 18

10827 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/)

Pages: [1](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/) · … · [17](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/17/) · **18** · [19](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/19/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)

1. [Scaling Low-Resource MT via Synthetic Data Generation with LLMs](https://aclanthology.org/2025.emnlp-main.1408/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
2. [ScholarBench: A Bilingual Benchmark for Abstraction, Comprehension, and Reasoning Evaluation in Academic Contexts](https://aclanthology.org/2025.findings-emnlp.465/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
3. [SciReplicate-Bench: Benchmarking LLMs in Agent-driven Algorithmic Reproduction from Research Papers](https://arxiv.org/abs/2504.00255) *— 2025 · arXiv:2504.00255*
4. [Scientific Reasoning: Assessment of Multimodal Generative LLMs](https://arxiv.org/abs/2503.01064) *— 2025 · arXiv:2503.01064*
5. [Seeing, Signing, and Saying: A Vision-Language Model-Assisted Pipeline for Sign Language Data Acquisition and Curation from Social Media](https://aclanthology.org/2025.ranlp-1.159/) *— 2025 · Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era*
6. [Segment-Level Diffusion: A Framework for Controllable Long-Form Generation with Diffusion Language Models](https://aclanthology.org/2025.acl-long.210/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
7. [Self-Retrieval from Distant Contexts for Document-Level Machine Translation](https://aclanthology.org/2025.wmt-1.13/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
8. [SemShareKV: Efficient KVCache Sharing for Semantically Similar Prompts via Token-Level LSH Matching](https://aclanthology.org/2025.findings-ijcnlp.25/) *— 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics*
9. [Semantic Agreement Enables Efficient Open-Ended LLM Cascades](https://aclanthology.org/2025.emnlp-industry.171/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: Industry Track*
10. [Semantic Captioning: Benchmark Dataset and Graph-Aware Few-Shot In-Context Learning for SQL2Text](https://aclanthology.org/2025.coling-main.536/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
11. [Semantic Consistency-Based Uncertainty Quantification for Factuality in Radiology Report Generation](https://aclanthology.org/2025.findings-naacl.95/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
12. [Semantic Evaluation of Multilingual Data-to-Text Generation via NLI Fine-Tuning: Precision, Recall and F1 scores](https://aclanthology.org/2025.findings-acl.542/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
13. [Semantic Prosody in Machine Translation: the English-Chinese Case of Passive Structures](https://aclanthology.org/2025.starsem-1.5/) *— 2025 · Proceedings of the 14th Joint Conference on Lexical and Computational Semantics (*SEM 2025)*
14. [Semantic-Eval : A Semantic Comprehension Evaluation Framework for Large Language Models Generation without Training](https://aclanthology.org/2025.acl-long.477/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
15. [Semantics-aware prompting for translating NOtices To AirMen](https://aclanthology.org/2025.findings-acl.1253/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
16. [Semitic Root Encoding: Tokenization Based on the Templatic Morphology of Semitic Languages in NMT](https://md.research.elamur.ai/free/en/papers/aclbulk-2025-hatch-semitic-root-encoding-tokenization-based/) *— our card · 2025 · Proceedings of The Third Arabic Natural Language Processing Conference*
17. [Sensitivity-LoRA : Low-Load Sensitivity-Based Fine-Tuning for Large Language Models](https://aclanthology.org/2025.findings-emnlp.709/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
18. [SensorLLM: Aligning Large Language Models with Motion Sensors for Human Activity Recognition](https://aclanthology.org/2025.emnlp-main.19/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
19. [Sentimatic: Sentiment-guided Automatic Generation of Preference Datasets for Customer Support Dialogue System](https://aclanthology.org/2025.naacl-srw.12/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 4: Student Research Workshop)*
20. [Seval-ex : Un paradigme basé sur les phrases atomiques pour une évaluation explicable de la qualité des résumés](https://aclanthology.org/2025.jeptalnrecital-coria.19/) *— 2025 · Actes de la 20e Conférence en Recherche d'Information et Applications (CORIA)*
21. [Shared Heritage, Distinct Writing: Rethinking Resource Selection for East Asian Historical Documents](https://aclanthology.org/2025.findings-ijcnlp.98/) *— 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics*
22. [Shared Path: Unraveling Memorization in Multilingual LLMs through Language Similarities](https://aclanthology.org/2025.emnlp-main.978/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
23. [SheffieldGATE at SemEval-2025 Task 2: Multi-Stage Reasoning with Knowledge Fusion for Entity Translation](https://aclanthology.org/2025.semeval-1.197/) *— 2025 · Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)*
24. [Should Code Models Learn Pedagogically? A Preliminary Evaluation of Curriculum Learning for Real-World Software Engineering Tasks](https://arxiv.org/abs/2502.03806) *— 2025 · arXiv:2502.03806*
25. [Sightation Counts: Leveraging Sighted User Feedback in Building a BLV-aligned Dataset of Diagram Descriptions](https://aclanthology.org/2025.acl-long.1338/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
26. [Sign2Vis: Automated Data Visualization from Sign Language](https://aclanthology.org/2025.findings-acl.918/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
27. [SignAlignLM: Integrating Multimodal Sign Language Processing into Large Language Models](https://aclanthology.org/2025.findings-acl.190/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
28. [Simple and Effective Baselines for Code Summarisation Evaluation](https://aclanthology.org/2025.alta-main.9/) *— 2025 · Proceedings of the 23rd Annual Workshop of the Australasian Language Technology Association*
29. [Simplified Rewriting Improves Expert Summarization](https://aclanthology.org/2025.ijcnlp-long.165/) *— 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics*
30. [Simulstream: Open-Source Toolkit for Evaluation and Demonstration of Streaming Speech-to-Text Translation Systems](https://arxiv.org/abs/2512.17648) *— 2025 · arXiv:2512.17648*
31. [SkillAggregation: Reference-free LLM-Dependent Aggregation](https://aclanthology.org/2025.acl-long.756/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
32. [SkipCLM: Enhancing Crosslingual Alignment of Decoder Transformer Models via Contrastive Learning and Skip Connection](https://aclanthology.org/2025.naacl-srw.50/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 4: Student Research Workshop)*
33. [SlangDIT: Benchmarking LLMs in Interpretative Slang Translation](https://arxiv.org/abs/2505.14181) *— 2025 · arXiv:2505.14181*
34. [SlimLM: An Efficient Small Language Model for On-Device Document Assistance](https://aclanthology.org/2025.acl-demo.42/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)*
35. [Small Languages, Big Models: A Study of Continual Training on Languages of Norway](https://aclanthology.org/2025.nodalida-1.61/) *— 2025 · Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)*
36. [Small Models, Big Tasks: An Exploratory Empirical Study on Small Language Models for Function Calling](https://arxiv.org/abs/2504.19277) *— 2025 · arXiv:2504.19277*
37. [Smotrom tvoja på ander drogoj verden! Resurrecting Dead Pidgin with Generative Models: Russenorsk Case Study](https://aclanthology.org/2025.findings-acl.934/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
38. [Socratic Reasoning Improves Positive Text Rewriting](https://aclanthology.org/2025.clpsych-1.12/) *— 2025 · Proceedings of the 10th Workshop on Computational Linguistics and Clinical Psychology (CLPsych 2025)*
39. [Song Lyrics Adaptations: Computational Interpretation of the Pentathlon Principle](https://aclanthology.org/2025.nlp4dh-1.11/) *— 2025 · Proceedings of the 5th International Conference on Natural Language Processing for Digital Humanities*
40. [Source-primed Multi-turn Conversation Helps Large Language Models Translate Documents](https://aclanthology.org/2025.findings-emnlp.1289/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
41. [Spatial Reasoning in Multimodal Large Language Models: A Survey of Tasks, Benchmarks and Methods](https://arxiv.org/abs/2511.15722) *— 2025 · arXiv:2511.15722*
42. [Specialised or Generic? Tokenization Choices for Radiology Language Models](https://arxiv.org/abs/2508.09952) *— 2025 · arXiv:2508.09952*
43. [Specification-Aware Machine Translation and Evaluation for Purpose Alignment](https://aclanthology.org/2025.wmt-1.7/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
44. [SpeechIQ: Speech-Agentic Intelligence Quotient Across Cognitive Levels in Voice Understanding by Large Language Models](https://aclanthology.org/2025.acl-long.1466/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
45. [Spot the BlindSpots: Systematic Identification and Quantification of Fine-Grained LLM Biases in Contact Center Call Summarization](https://aclanthology.org/2025.emnlp-industry.91/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: Industry Track*
46. [StableToolBench-MirrorAPI: Modeling Tool Environments as Mirrors of 7,000+ Real-World APIs](https://aclanthology.org/2025.findings-acl.273/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
47. [Stance-aware Definition Generation for Argumentative Texts](https://aclanthology.org/2025.argmining-1.16/) *— 2025 · Proceedings of the 12th Argument mining Workshop*
48. [State-offset Tuning: State-based Parameter-Efficient Fine-Tuning for State Space Models](https://aclanthology.org/2025.acl-short.36/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
49. [Stealing Training Data from Large Language Models in Decentralized Training through Activation Inversion Attack](https://aclanthology.org/2025.acl-long.707/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
50. [Steering Large Language Models with Register Analysis for Arbitrary Style Transfer](https://arxiv.org/abs/2505.00679) *— 2025 · arXiv:2505.00679*
51. [StockGenChaR: A Study on the Evaluation of Large Vision-Language Models on Stock Chart Captioning](https://aclanthology.org/2025.finnlp-2.4/) *— 2025 · Proceedings of The 10th Workshop on Financial Technology and Natural Language Processing*
52. [StreamMind: Unlocking Full Frame Rate Streaming Video Dialogue through Event-Gated Cognition](https://arxiv.org/abs/2503.06220) *— 2025 · arXiv:2503.06220*
53. [Streaming Sequence Transduction through Dynamic Compression](https://aclanthology.org/2025.iwslt-1.1/) *— 2025 · Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025)*
54. [Streamlining Biomedical Research with Specialized LLMs](https://aclanthology.org/2025.coling-demos.2/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics: System Demonstrations*
55. [StrucText-Eval: Evaluating Large Language Model”s Reasoning Ability in Structure-Rich Text](https://aclanthology.org/2025.acl-long.11/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
56. [Structural Reasoning Improves Molecular Understanding of LLM](https://aclanthology.org/2025.acl-long.1023/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
57. [Structured Discourse Representation for Factual Consistency Verification](https://aclanthology.org/2025.findings-acl.46/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
58. [Structured Document Translation via Format Reinforcement Learning](https://aclanthology.org/2025.ijcnlp-long.38/) *— 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics*
59. [Structuring Radiology Reports: Challenging LLMs with Lightweight Models](https://aclanthology.org/2025.emnlp-main.392/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
60. [Style Knowledge Graph: Augmenting Text Style Transfer with Knowledge Graphs](https://aclanthology.org/2025.genaik-1.13/) *— 2025 · Proceedings of the Workshop on Generative AI and Knowledge Graphs (GenAIK)*
61. [Style Transfer with Multi-iteration Preference Optimization](https://aclanthology.org/2025.naacl-long.135/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
62. [Style-Controlled Response Generation for Dialog Systems with Intimacy Interpretation](https://aclanthology.org/2025.icnlsp-1.6/) *— 2025 · Proceedings of the 8th International Conference on Natural Language and Speech Processing (ICNLSP-2025)*
63. [StyleRec: A Benchmark Dataset for Prompt Recovery in Writing Style Transformation](https://arxiv.org/abs/2504.04373) *— 2025 · arXiv:2504.04373*
64. [Summarisation of German Judgments in conjunction with a Class-based Evaluation](https://arxiv.org/abs/2505.05947) *— 2025 · arXiv:2505.05947*
65. [Summarizing Speech: A Comprehensive Survey](https://aclanthology.org/2025.emnlp-main.1388/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
66. [Survey of Abstract Meaning Representation: Then, Now, Future](https://md.research.elamur.ai/free/en/papers/mansouri-2025-survey-abstract-meaning-representation-then/) *— our card · 2025 · arXiv:2505.03229*
67. [Surveying the Landscape of Image Captioning Evaluation: A Comprehensive Taxonomy, Trends, and Metrics Analysis](https://aclanthology.org/2025.tacl-1.73/) *— 2025 · Transactions of the Association for Computational Linguistics*
68. [Sustainable Italian LLM Evaluation: Community Perspectives and Methodological Guidelines](https://aclanthology.org/2025.clicit-1.71/) *— 2025 · Proceedings of the Eleventh Italian Conference on Computational Linguistics (CLiC-it 2025)*
69. [Swedish Whispers; Leveraging a Massive Speech Corpus for Swedish Speech Recognition](https://arxiv.org/abs/2505.17538) *— 2025 · arXiv:2505.17538*
70. [SwiLTra-Bench: The Swiss Legal Translation Benchmark](https://aclanthology.org/2025.acl-long.725/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
71. [Swiss Parliaments Corpus Re-Imagined (SPC_R): Enhanced Transcription with RAG-based Correction and Predicted BLEU](https://arxiv.org/abs/2506.07726) *— 2025 · arXiv:2506.07726*
72. [Swiss Parliaments Corpus Reimagined (SPC_R): Enhanced Transcription with RAG-based Correction and Predicted BLEU](https://aclanthology.org/2025.swisstext-1.15/) *— 2025 · Proceedings of the 10th edition of the Swiss Text Analytics Conference*
73. [SwissADT: An Audio Description Translation System for Swiss Languages](https://aclanthology.org/2025.naacl-industry.31/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 3: Industry Track)*
74. [SyntheT2C: Generating Synthetic Data for Fine-Tuning Large Language Models on the Text2Cypher Task](https://aclanthology.org/2025.coling-main.46/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
75. [T2R-BENCH: A Benchmark for Real World Table-to-Report Task](https://aclanthology.org/2025.emnlp-main.1141/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
76. [TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning](https://aclanthology.org/2025.findings-acl.81/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
77. [TD-EVAL: Revisiting Task-Oriented Dialogue Evaluation by Combining Turn-Level Precision with Dialogue-Level Comparisons](https://aclanthology.org/2025.sigdial-1.7/) *— 2025 · Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
78. [TEACH: A Contrastive Knowledge Adaptive Distillation Framework for Classical Chinese Understanding](https://aclanthology.org/2025.acl-long.178/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
79. [TEEMIL : Towards Educational MCQ Difficulty Estimation in Indic Languages](https://aclanthology.org/2025.coling-main.142/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
80. [TFD: A Comprehensive Structured Tibetan Foundation Dataset for Low-Resource Language Processing and Large-Scale Modeling](https://arxiv.org/abs/2503.18288) *— 2025 · arXiv:2503.18288*
81. [TLUE: A Tibetan Language Understanding Evaluation Benchmark](https://aclanthology.org/2025.emnlp-main.1777/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
82. [TN-Eval: Rubric and Evaluation Protocols for Measuring the Quality of Behavioral Therapy Notes](https://aclanthology.org/2025.acl-industry.14/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track)*
83. [TOOL-ED: Enhancing Empathetic Response Generation with the Tool Calling Capability of LLM](https://aclanthology.org/2025.coling-main.355/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
84. [TPCap: Unlocking Zero-Shot Image Captioning with Trigger-Augmented and Multi-Modal Purification Modules](https://arxiv.org/abs/2502.11024) *— 2025 · arXiv:2502.11024*
85. [TRIDENT: Enhancing Large Language Model Safety with Tri-Dimensional Diversified Red-Teaming Data Synthesis](https://aclanthology.org/2025.acl-long.733/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
86. [TRUEBench: Can LLM Response Meet Real-world Constraints as Productivity Assistant?](https://aclanthology.org/2025.findings-emnlp.776/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
87. [TRepLiNa: Layer-wise CKA+REPINA Alignment Improves Low-Resource Machine Translation in Aya-23 8B](https://aclanthology.org/2025.mmloso-1.3/) *— 2025 · Proceedings of the 1st Workshop on Multimodal Models for Low-Resource Contexts and Social Impact (MMLoSo 2025)*
88. [TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos](https://aclanthology.org/2025.acl-long.91/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
89. [TabXEval: Why this is a Bad Table? An eXhaustive Rubric for Table Evaluation](https://aclanthology.org/2025.findings-acl.1176/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
90. [Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data](https://aclanthology.org/2025.trl-1.10/) *— 2025 · Proceedings of the 4th Table Representation Learning Workshop*
91. [TableDreamer: Progressive and Weakness-guided Data Synthesis from Scratch for Table Instruction Tuning](https://aclanthology.org/2025.findings-acl.381/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
92. [Tackling Low-Resource NMT with Instruction-Tuned LLaMA: A Study on Kokborok and Bodo](https://aclanthology.org/2025.wmt-1.97/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
93. [Tagged Span Annotation for Detecting Translation Errors in Reasoning LLMs](https://aclanthology.org/2025.wmt-1.62/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
94. [TailorRPA: A Retrieval-Based Framework for Eliciting Personalized and Coherent Role-Playing Agents in General Domain](https://aclanthology.org/2025.findings-emnlp.288/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
95. [Take Shelter, Zanmi: Digitally Alerting Cyclone Victims in Their Languages](https://aclanthology.org/2025.nlp4pi-1.6/) *— 2025 · Proceedings of the Fourth Workshop on NLP for Positive Impact (NLP4PI)*
96. [TartuNLP at WMT25 LLMs with Limited Resources for Slavic Languages Shared Task](https://aclanthology.org/2025.wmt-1.88/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
97. [Task-Aware Evaluation and Error-Overlap Analysis for Large Language Models](https://aclanthology.org/2025.chomps-main.1/) *— 2025 · Proceedings of the 1st Workshop on Confabulation, Hallucinations and Overgeneration in Multilingual and Practical Settings (CHOMPS 2025)*
98. [Task-Specific Information Decomposition for End-to-End Dense Video Captioning](https://aclanthology.org/2025.acl-long.807/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
99. [Task-wrapped Continual Learning in Task-Oriented Dialogue Systems](https://aclanthology.org/2025.findings-naacl.174/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
100. [TathyaNyaya and FactLegalLlama: Advancing Factual Judgment Prediction and Explanation in the Indian Legal Context](https://aclanthology.org/2025.findings-ijcnlp.57/) *— 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics*

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