{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/translation/papers/40","list_of":"/task/translation","task":"Translation","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":40,"pages_in_order":124,"rows_per_page":100,"rows":[3901,4000],"of":12395,"counts":{"archive_papers_tagged":12395,"with_a_code_link":3574,"where_syntology_ran_a_sample":682,"not_listed_spam_title":0,"listed":12395,"listed_where_code_ran":682,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":566,"every_run_a_failure_of_syntologys_instrument":116,"listed_with_a_run_with_no_instrument_failure":566,"listed_every_run_a_failure_of_syntologys_instrument":116,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/translation","prev":"/task/translation/papers/39","next":"/task/translation/papers/41","papers":[{"url":null,"slug":"exploiting-phonological-similarities-between","title":"Phonology-Guided Speech-to-Speech Translation for African Languages","date":"2024-10-30","arxiv_id":"2410.23323","repositories_listed":0,"syntology":null},{"url":null,"slug":"anticipating-future-with-large-language-model","title":"Anticipating Future with Large Language Model for Simultaneous Machine Translation","date":"2024-10-29","arxiv_id":"2410.22499","repositories_listed":0,"syntology":null},{"url":null,"slug":"sing-it-narrate-it-quality-musical-lyrics","title":"Sing it, Narrate it: Quality Musical Lyrics Translation","date":"2024-10-29","arxiv_id":"2410.22066","repositories_listed":0,"syntology":null},{"url":null,"slug":"crat-a-multi-agent-framework-for-causality","title":"CRAT: A Multi-Agent Framework for Causality-Enhanced Reflective and Retrieval-Augmented Translation with Large Language Models","date":"2024-10-28","arxiv_id":"2410.21067","repositories_listed":0,"syntology":null},{"url":null,"slug":"current-state-of-the-art-of-bias-detection","title":"Current State-of-the-Art of Bias Detection and Mitigation in Machine Translation for African and European Languages: a Review","date":"2024-10-28","arxiv_id":"2410.21126","repositories_listed":0,"syntology":null},{"url":null,"slug":"joint-design-of-5-untranslated-region-and","title":"Joint Design of 5' Untranslated Region and Coding Sequence of mRNA","date":"2024-10-28","arxiv_id":"2410.20781","repositories_listed":0,"syntology":null},{"url":null,"slug":"multilingual-standalone-trustworthy-voice","title":"Multilingual Standalone Trustworthy Voice-Based Social Network for Disaster Situations","date":"2024-10-28","arxiv_id":"2411.08889","repositories_listed":0,"syntology":null},{"url":null,"slug":"coderosetta-pushing-the-boundaries-of","title":"CodeRosetta: Pushing the Boundaries of Unsupervised Code Translation for Parallel Programming","date":"2024-10-27","arxiv_id":"2410.20527","repositories_listed":0,"syntology":null},{"url":null,"slug":"grammamt-improving-machine-translation-with","title":"GrammaMT: Improving Machine Translation with Grammar-Informed In-Context Learning","date":"2024-10-24","arxiv_id":"2410.18702","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-visual-text-design-transfer-across","title":"Towards Visual Text Design Transfer Across Languages","date":"2024-10-24","arxiv_id":"2410.18823","repositories_listed":0,"syntology":null},{"url":null,"slug":"dialectal-and-low-resource-machine","title":"Dialectal and Low-Resource Machine Translation for Aromanian","date":"2024-10-23","arxiv_id":"2410.17728","repositories_listed":0,"syntology":null},{"url":null,"slug":"can-general-purpose-large-language-models","title":"Can General-Purpose Large Language Models Generalize to English-Thai Machine Translation ?","date":"2024-10-22","arxiv_id":"2410.17145","repositories_listed":0,"syntology":null},{"url":null,"slug":"context-aware-llm-translation-system-using","title":"Context-Aware LLM Translation System Using Conversation Summarization and Dialogue History","date":"2024-10-22","arxiv_id":"2410.16775","repositories_listed":0,"syntology":null},{"url":null,"slug":"analyzing-context-contributions-in-llm-based","title":"Analyzing Context Contributions in LLM-based Machine Translation","date":"2024-10-21","arxiv_id":"2410.16246","repositories_listed":0,"syntology":null},{"url":null,"slug":"ca-addressing-evaluation-pitfalls-in","title":"CA*: Addressing Evaluation Pitfalls in Computation-Aware Latency for Simultaneous Speech Translation","date":"2024-10-21","arxiv_id":"2410.16011","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-terminology-integration-for-llm","title":"Efficient Terminology Integration for LLM-based Translation in Specialized Domains","date":"2024-10-21","arxiv_id":"2410.15690","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-from-others-mistakes-finetuning","title":"Learning from others' mistakes: Finetuning machine translation models with span-level error annotations","date":"2024-10-21","arxiv_id":"2410.16509","repositories_listed":0,"syntology":null},{"url":null,"slug":"analyzing-context-utilization-of-llms-in","title":"Analyzing Context Utilization of LLMs in Document-Level Translation","date":"2024-10-18","arxiv_id":"2410.14391","repositories_listed":0,"syntology":null},{"url":null,"slug":"vital-insight-assisting-experts-sensemaking","title":"Vital Insight: Assisting Experts' Context-Driven Sensemaking of Multi-modal Personal Tracking Data Using Visualization and Human-In-The-Loop LLM Agents","date":"2024-10-18","arxiv_id":"2410.14879","repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-translation-alignment-pipeline-for","title":"Automatic Translation Alignment Pipeline for Multilingual Digital Editions of Literary Works","date":"2024-10-17","arxiv_id":"2410.13255","repositories_listed":0,"syntology":null},{"url":null,"slug":"banth-a-multi-label-hate-speech-detection","title":"BanTH: A Multi-label Hate Speech Detection Dataset for Transliterated Bangla","date":"2024-10-17","arxiv_id":"2410.13281","repositories_listed":0,"syntology":null},{"url":null,"slug":"boosting-llm-translation-skills-without","title":"Boosting LLM Translation Skills without General Ability Loss via Rationale Distillation","date":"2024-10-17","arxiv_id":"2410.13944","repositories_listed":0,"syntology":null},{"url":null,"slug":"quantity-vs-quality-of-monolingual-source","title":"Quantity vs. Quality of Monolingual Source Data in Automatic Text Translation: Can It Be Too Little If It Is Too Good?","date":"2024-10-17","arxiv_id":"2410.13783","repositories_listed":0,"syntology":null},{"url":"/paper/towards-cross-cultural-machine-translation","slug":"towards-cross-cultural-machine-translation","title":"Towards Cross-Cultural Machine Translation with Retrieval-Augmented Generation from Multilingual Knowledge Graphs","date":"2024-10-17","arxiv_id":"2410.14057","repositories_listed":0,"syntology":{"n":5,"n_ran":5,"n_constructed":0,"n_ran_checked":5,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":5,"n_pointer_only":5,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/towards-cross-cultural-machine-translation#ran","syntology_url":"https://syntology.ai/paper/2410.14057","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2410.14057"}},"official":null}},{"url":null,"slug":"llm-based-translation-inference-with","title":"LLM-based Translation Inference with Iterative Bilingual Understanding","date":"2024-10-16","arxiv_id":"2410.12543","repositories_listed":0,"syntology":null},{"url":null,"slug":"findings-of-the-wmt-2024-shared-task-on-chat","title":"Findings of the WMT 2024 Shared Task on Chat Translation","date":"2024-10-15","arxiv_id":"2410.11624","repositories_listed":0,"syntology":null},{"url":null,"slug":"from-real-artifacts-to-virtual-reference-a","title":"From Real Artifacts to Virtual Reference: A Robust Framework for Translating Endoscopic Images","date":"2024-10-15","arxiv_id":"2410.13896","repositories_listed":0,"syntology":null},{"url":null,"slug":"intgrad-mt-eliciting-llms-machine-translation","title":"IntGrad MT: Eliciting LLMs' Machine Translation Capabilities with Sentence Interpolation and Gradual MT","date":"2024-10-15","arxiv_id":"2410.11693","repositories_listed":0,"syntology":null},{"url":null,"slug":"is-hate-lost-in-translation-evaluation-of","title":"\"Is Hate Lost in Translation?\": Evaluation of Multilingual LGBTQIA+ Hate Speech Detection","date":"2024-10-15","arxiv_id":"2410.11230","repositories_listed":0,"syntology":null},{"url":null,"slug":"pmmt-preference-alignment-in-multilingual","title":"PMMT: Preference Alignment in Multilingual Machine Translation via LLM Distillation","date":"2024-10-15","arxiv_id":"2410.11410","repositories_listed":0,"syntology":null},{"url":null,"slug":"beyond-human-only-evaluating-human-machine","title":"Beyond Human-Only: Evaluating Human-Machine Collaboration for Collecting High-Quality Translation Data","date":"2024-10-14","arxiv_id":"2410.11056","repositories_listed":0,"syntology":null},{"url":null,"slug":"chakmanmt-a-low-resource-machine-translation","title":"ChakmaNMT: A Low-resource Machine Translation On Chakma Language","date":"2024-10-14","arxiv_id":"2410.10219","repositories_listed":0,"syntology":null},{"url":null,"slug":"code-mixer-ya-nahi-novel-approaches-to","title":"Code-Mixer Ya Nahi: Novel Approaches to Measuring Multilingual LLMs' Code-Mixing Capabilities","date":"2024-10-14","arxiv_id":"2410.11079","repositories_listed":0,"syntology":null},{"url":null,"slug":"effective-self-mining-of-in-context-examples","title":"Effective Self-Mining of In-Context Examples for Unsupervised Machine Translation with LLMs","date":"2024-10-14","arxiv_id":"2410.11006","repositories_listed":0,"syntology":null},{"url":null,"slug":"isochronometer-a-simple-and-effective","title":"IsoChronoMeter: A simple and effective isochronic translation evaluation metric","date":"2024-10-14","arxiv_id":"2410.11127","repositories_listed":0,"syntology":null},{"url":null,"slug":"machine-translation-evaluation-benchmark-for","title":"Machine Translation Evaluation Benchmark for Wu Chinese: Workflow and Analysis","date":"2024-10-14","arxiv_id":"2410.10278","repositories_listed":0,"syntology":null},{"url":null,"slug":"qe-ebm-using-quality-estimators-as-energy","title":"QE-EBM: Using Quality Estimators as Energy Loss for Machine Translation","date":"2024-10-14","arxiv_id":"2410.10228","repositories_listed":0,"syntology":null},{"url":null,"slug":"ukrainian-to-english-folktale-corpus-parallel-1","title":"Ukrainian-to-English folktale corpus: Parallel corpus creation and augmentation for machine translation in low-resource languages","date":"2024-10-14","arxiv_id":"2410.10063","repositories_listed":0,"syntology":null},{"url":null,"slug":"ebdm-exemplar-guided-image-translation-with","title":"EBDM: Exemplar-guided Image Translation with Brownian-bridge Diffusion Models","date":"2024-10-13","arxiv_id":"2410.09802","repositories_listed":0,"syntology":null},{"url":null,"slug":"state-of-nlp-in-kenya-a-survey","title":"State of NLP in Kenya: A Survey","date":"2024-10-13","arxiv_id":"2410.09948","repositories_listed":0,"syntology":null},{"url":null,"slug":"experiments-with-choice-in-dependently-typed","title":"Experiments with Choice in Dependently-Typed Higher-Order Logic","date":"2024-10-11","arxiv_id":"2410.08874","repositories_listed":0,"syntology":null},{"url":null,"slug":"forall-uto-exists-lor-land-l-autonomous","title":"$\\forall$uto$\\exists$$\\lor\\!\\land$L: Autonomous Evaluation of LLMs for Truth Maintenance and Reasoning Tasks","date":"2024-10-11","arxiv_id":"2410.08437","repositories_listed":0,"syntology":null},{"url":null,"slug":"integrating-ai-for-enhanced-feedback-in","title":"Integrating AI for Enhanced Feedback in Translation Revision- A Mixed-Methods Investigation of Student Engagement","date":"2024-10-11","arxiv_id":"2410.08581","repositories_listed":0,"syntology":null},{"url":null,"slug":"modeling-user-preferences-with-automatic","title":"Modeling User Preferences with Automatic Metrics: Creating a High-Quality Preference Dataset for Machine Translation","date":"2024-10-10","arxiv_id":"2410.07779","repositories_listed":0,"syntology":null},{"url":null,"slug":"nusamt-7b-machine-translation-for-low","title":"NusaMT-7B: Machine Translation for Low-Resource Indonesian Languages with Large Language Models","date":"2024-10-10","arxiv_id":"2410.07830","repositories_listed":0,"syntology":null},{"url":null,"slug":"transesophageal-echocardiography-generation","title":"Transesophageal Echocardiography Generation using Anatomical Models","date":"2024-10-09","arxiv_id":"2410.06781","repositories_listed":0,"syntology":null},{"url":null,"slug":"beyond-correlation-interpretable-evaluation","title":"Beyond Correlation: Interpretable Evaluation of Machine Translation Metrics","date":"2024-10-07","arxiv_id":"2410.05183","repositories_listed":0,"syntology":null},{"url":null,"slug":"ctc-gmm-ctc-guided-modality-matching-for-fast","title":"CTC-GMM: CTC guided modality matching for fast and accurate streaming speech translation","date":"2024-10-07","arxiv_id":"2410.05146","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-transformer-with-reinforced","title":"Efficient transformer with reinforced position embedding for language models","date":"2024-10-07","arxiv_id":"2410.04731","repositories_listed":0,"syntology":null},{"url":"/paper/improving-object-detection-via-local-global","slug":"improving-object-detection-via-local-global","title":"Improving Object Detection via Local-global Contrastive Learning","date":"2024-10-07","arxiv_id":"2410.05058","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-instruction-finetuning-neural-machine","title":"On Instruction-Finetuning Neural Machine Translation Models","date":"2024-10-07","arxiv_id":"2410.05553","repositories_listed":0,"syntology":null},{"url":null,"slug":"symmetrylens-a-new-candidate-paradigm-for","title":"SymmetryLens: A new candidate paradigm for unsupervised symmetry learning via locality and equivariance","date":"2024-10-07","arxiv_id":"2410.05232","repositories_listed":0,"syntology":null},{"url":null,"slug":"translation-canvas-an-explainable-interface","title":"Translation Canvas: An Explainable Interface to Pinpoint and Analyze Translation Systems","date":"2024-10-07","arxiv_id":"2410.10861","repositories_listed":0,"syntology":null},{"url":null,"slug":"can-the-variation-of-model-weights-be-used-as","title":"Can the Variation of Model Weights be used as a Criterion for Self-Paced Multilingual NMT?","date":"2024-10-05","arxiv_id":"2410.04147","repositories_listed":0,"syntology":null},{"url":null,"slug":"psfuture-a-pseudo-future-based-zero-shot","title":"PsFuture: A Pseudo-Future-based Zero-Shot Adaptive Policy for Simultaneous Machine Translation","date":"2024-10-05","arxiv_id":"2410.04075","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-multi-task-learning-framework-for-3","title":"A Multi-task Learning Framework for Evaluating Machine Translation of Emotion-loaded User-generated Content","date":"2024-10-04","arxiv_id":"2410.03277","repositories_listed":0,"syntology":null},{"url":null,"slug":"cogs-in-a-machine-doing-what-they-re-meant-to","title":"Cogs in a Machine, Doing What They're Meant to Do -- The AMI Submission to the WMT24 General Translation Task","date":"2024-10-04","arxiv_id":"2410.03381","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-semantic-structure-through-first","title":"Learning Semantic Structure through First-Order-Logic Translation","date":"2024-10-04","arxiv_id":"2410.03203","repositories_listed":0,"syntology":null},{"url":null,"slug":"textless-streaming-speech-to-speech","title":"Textless Streaming Speech-to-Speech Translation using Semantic Speech Tokens","date":"2024-10-04","arxiv_id":"2410.03298","repositories_listed":0,"syntology":null},{"url":"/paper/x-alma-plug-play-modules-and-adaptive","slug":"x-alma-plug-play-modules-and-adaptive","title":"X-ALMA: Plug & Play Modules and Adaptive Rejection for Quality Translation at Scale","date":"2024-10-04","arxiv_id":"2410.03115","repositories_listed":0,"syntology":{"n":9,"n_ran":3,"n_constructed":3,"n_ran_checked":3,"n_instrument":0,"n_unverified":6,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":0,"phrase":"3 ran (of which 3 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 6 unverified; every one of the 3 samples that ran constructed an object rather than computing a result","sample_list":"/paper/x-alma-plug-play-modules-and-adaptive#ran","syntology_url":"https://syntology.ai/paper/2410.03115","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2410.03115"}},"official":null}},{"url":null,"slug":"improving-neural-optimal-transport-via","title":"Improving Neural Optimal Transport via Displacement Interpolation","date":"2024-10-03","arxiv_id":"2410.03783","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-language-model-for-multi-domain","title":"Large Language Model for Multi-Domain Translation: Benchmarking and Domain CoT Fine-tuning","date":"2024-10-03","arxiv_id":"2410.02631","repositories_listed":0,"syntology":null},{"url":null,"slug":"post-edits-are-preferences-too","title":"Post-edits Are Preferences Too","date":"2024-10-03","arxiv_id":"2410.02320","repositories_listed":0,"syntology":null},{"url":null,"slug":"scalable-simulation-free-entropic-unbalanced","title":"Scalable Simulation-free Entropic Unbalanced Optimal Transport","date":"2024-10-03","arxiv_id":"2410.02656","repositories_listed":0,"syntology":null},{"url":null,"slug":"instatrans-an-instruction-aware-translation","title":"InstaTrans: An Instruction-Aware Translation Framework for Non-English Instruction Datasets","date":"2024-10-02","arxiv_id":"2410.01512","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-technical-term-translation-a","title":"Efficient Technical Term Translation: A Knowledge Distillation Approach for Parenthetical Terminology Translation","date":"2024-10-01","arxiv_id":"2410.00683","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-implications-of-verbose-llm-outputs-a","title":"On the Implications of Verbose LLM Outputs: A Case Study in Translation Evaluation","date":"2024-10-01","arxiv_id":"2410.00863","repositories_listed":0,"syntology":null},{"url":null,"slug":"is-preference-alignment-always-the-best","title":"Is Preference Alignment Always the Best Option to Enhance LLM-Based Translation? An Empirical Analysis","date":"2024-09-30","arxiv_id":"2409.20059","repositories_listed":0,"syntology":null},{"url":null,"slug":"transagent-an-llm-based-multi-agent-system","title":"TRANSAGENT: An LLM-Based Multi-Agent System for Code Translation","date":"2024-09-30","arxiv_id":"2409.19894","repositories_listed":0,"syntology":null},{"url":null,"slug":"landermt-detecting-and-routing-language-aware","title":"LANDeRMT: Detecting and Routing Language-Aware Neurons for Selectively Finetuning LLMs to Machine Translation","date":"2024-09-29","arxiv_id":"2409.19523","repositories_listed":0,"syntology":null},{"url":null,"slug":"can-llms-really-learn-to-translate-a-low","title":"Can LLMs Really Learn to Translate a Low-Resource Language from One Grammar Book?","date":"2024-09-27","arxiv_id":"2409.19151","repositories_listed":0,"syntology":null},{"url":null,"slug":"latent-representation-learning-for-multimodal","title":"Latent Representation Learning for Multimodal Brain Activity Translation","date":"2024-09-27","arxiv_id":"2409.18462","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-lingual-human-preference-alignment-for","title":"Cross-lingual Human-Preference Alignment for Neural Machine Translation with Direct Quality Optimization","date":"2024-09-26","arxiv_id":"2409.17673","repositories_listed":0,"syntology":null},{"url":null,"slug":"dirichlet-based-coarse-to-fine-example","title":"Dirichlet-Based Coarse-to-Fine Example Selection For Open-Set Annotation","date":"2024-09-26","arxiv_id":"2409.17607","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-translating-technical-terminology-a","title":"On Translating Technical Terminology: A Translation Workflow for Machine-Translated Acronyms","date":"2024-09-26","arxiv_id":"2409.17943","repositories_listed":0,"syntology":null},{"url":null,"slug":"predicting-anchored-text-from-translation","title":"Predicting Anchored Text from Translation Memories for Machine Translation Using Deep Learning Methods","date":"2024-09-26","arxiv_id":"2409.17939","repositories_listed":0,"syntology":null},{"url":null,"slug":"unveiling-the-role-of-pretraining-in-direct","title":"Unveiling the Role of Pretraining in Direct Speech Translation","date":"2024-09-26","arxiv_id":"2409.18044","repositories_listed":0,"syntology":null},{"url":null,"slug":"context-aware-and-style-related-incremental","title":"Context-aware and Style-related Incremental Decoding framework for Discourse-Level Literary Translation","date":"2024-09-25","arxiv_id":"2409.16539","repositories_listed":0,"syntology":null},{"url":null,"slug":"diffusion-models-to-enhance-the-resolution-of","title":"Diffusion Models to Enhance the Resolution of Microscopy Images: A Tutorial","date":"2024-09-24","arxiv_id":"2409.16488","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhanced-unsupervised-image-to-image","title":"Enhanced Unsupervised Image-to-Image Translation Using Contrastive Learning and Histogram of Oriented Gradients","date":"2024-09-24","arxiv_id":"2409.16042","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-the-traditional-nmt-model-and-large","title":"Exploring the traditional NMT model and Large Language Model for chat translation","date":"2024-09-24","arxiv_id":"2409.16331","repositories_listed":0,"syntology":null},{"url":null,"slug":"machine-translation-advancements-of-low","title":"Machine Translation Advancements of Low-Resource Indian Languages by Transfer Learning","date":"2024-09-24","arxiv_id":"2409.15879","repositories_listed":0,"syntology":null},{"url":null,"slug":"multilingual-transfer-and-domain-adaptation","title":"Multilingual Transfer and Domain Adaptation for Low-Resource Languages of Spain","date":"2024-09-24","arxiv_id":"2409.15924","repositories_listed":0,"syntology":null},{"url":null,"slug":"brotherhood-at-wmt-2024-leveraging-llm","title":"Brotherhood at WMT 2024: Leveraging LLM-Generated Contextual Conversations for Cross-Lingual Image Captioning","date":"2024-09-23","arxiv_id":"2409.15052","repositories_listed":0,"syntology":null},{"url":null,"slug":"choose-the-final-translation-from-nmt-and-llm","title":"Choose the Final Translation from NMT and LLM hypotheses Using MBR Decoding: HW-TSC's Submission to the WMT24 General MT Shared Task","date":"2024-09-23","arxiv_id":"2409.14800","repositories_listed":0,"syntology":null},{"url":null,"slug":"hw-tsc-s-submission-to-the-ccmt-2024-machine","title":"HW-TSC's Submission to the CCMT 2024 Machine Translation Tasks","date":"2024-09-23","arxiv_id":"2409.14842","repositories_listed":0,"syntology":null},{"url":null,"slug":"scaling-laws-of-decoder-only-models-on-the","title":"Scaling Laws of Decoder-Only Models on the Multilingual Machine Translation Task","date":"2024-09-23","arxiv_id":"2409.15051","repositories_listed":0,"syntology":null},{"url":null,"slug":"emmett-efficient-multimodal-machine","title":"EMMeTT: Efficient Multimodal Machine Translation Training","date":"2024-09-20","arxiv_id":"2409.13523","repositories_listed":0,"syntology":null},{"url":null,"slug":"mufu-multilingual-fused-learning-for-low","title":"Mufu: Multilingual Fused Learning for Low-Resource Translation with LLM","date":"2024-09-20","arxiv_id":"2409.13949","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-e-commerce-product-title","title":"Enhancing E-commerce Product Title Translation with Retrieval-Augmented Generation and Large Language Models","date":"2024-09-19","arxiv_id":"2409.12880","repositories_listed":0,"syntology":null},{"url":null,"slug":"raggedi-diffusion-based-state-estimation-of","title":"RaggeDi: Diffusion-based State Estimation of Disordered Rags, Sheets, Towels and Blankets","date":"2024-09-18","arxiv_id":"2409.11831","repositories_listed":0,"syntology":null},{"url":null,"slug":"american-sign-language-to-text-translation","title":"American Sign Language to Text Translation using Transformer and Seq2Seq with LSTM","date":"2024-09-17","arxiv_id":"2409.10874","repositories_listed":0,"syntology":null},{"url":null,"slug":"aradice-benchmarks-for-dialectal-and-cultural","title":"AraDiCE: Benchmarks for Dialectal and Cultural Capabilities in LLMs","date":"2024-09-17","arxiv_id":"2409.11404","repositories_listed":0,"syntology":null},{"url":null,"slug":"chain-of-thought-prompting-for-speech","title":"Chain-of-Thought Prompting for Speech Translation","date":"2024-09-17","arxiv_id":"2409.11538","repositories_listed":0,"syntology":null},{"url":null,"slug":"gost-mt-a-knowledge-graph-for-occupation","title":"GOSt-MT: A Knowledge Graph for Occupation-related Gender Biases in Machine Translation","date":"2024-09-17","arxiv_id":"2409.10989","repositories_listed":0,"syntology":null},{"url":null,"slug":"image-to-image-translation-based-on-deep","title":"Image-to-Image Translation Based on Deep Generative Modeling for Radiotherapy Synthetic Dataset Creation","date":"2024-09-17","arxiv_id":"2410.01828","repositories_listed":0,"syntology":null},{"url":null,"slug":"task-arithmetic-for-language-expansion-in","title":"Task Arithmetic for Language Expansion in Speech Translation","date":"2024-09-17","arxiv_id":"2409.11274","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-modality-image-synthesis-from-tof-mra","title":"Cross-modality image synthesis from TOF-MRA to CTA using diffusion-based models","date":"2024-09-16","arxiv_id":"2409.10089","repositories_listed":0,"syntology":null},{"url":null,"slug":"embedded-image-to-image-translation-for","title":"Embedded Image-to-Image Translation for Efficient Sim-to-Real Transfer in Learning-based Robot-Assisted Soft Manipulation","date":"2024-09-16","arxiv_id":"2409.10204","repositories_listed":0,"syntology":null},{"url":null,"slug":"elmi-interactive-and-intelligent-sign","title":"ELMI: Interactive and Intelligent Sign Language Translation of Lyrics for Song Signing","date":"2024-09-15","arxiv_id":"2409.09760","repositories_listed":0,"syntology":null}],"record_sha256":"2dedfb7c1d4649abec45b46e50a886ee68e720765b446ae4e75c2f33e911f32e","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}