{"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/language-modelling/papers/130","list_of":"/task/language-modelling","task":"Language Modelling","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":130,"pages_in_order":177,"rows_per_page":100,"rows":[12901,13000],"of":17610,"counts":{"archive_papers_tagged":17610,"with_a_code_link":7012,"where_syntology_ran_a_sample":2428,"not_listed_spam_title":0,"listed":17610,"listed_where_code_ran":2428,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":2027,"every_run_a_failure_of_syntologys_instrument":401,"listed_with_a_run_with_no_instrument_failure":2027,"listed_every_run_a_failure_of_syntologys_instrument":401,"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/language-modelling","prev":"/task/language-modelling/papers/129","next":"/task/language-modelling/papers/131","papers":[{"url":null,"slug":"masonnlp-at-semeval-2023-task-8-extracting","title":"MasonNLP+ at SemEval-2023 Task 8: Extracting Medical Questions, Experiences and Claims from Social Media using Knowledge-Augmented Pre-trained Language Models","date":"2023-04-26","arxiv_id":"2304.13875","repositories_listed":0,"syntology":null},{"url":null,"slug":"blockchain-large-language-models","title":"Blockchain Large Language Models","date":"2023-04-25","arxiv_id":"2304.12749","repositories_listed":0,"syntology":null},{"url":null,"slug":"compressing-sentence-representation-with","title":"Compressing Sentence Representation with maximum Coding Rate Reduction","date":"2023-04-25","arxiv_id":"2304.12674","repositories_listed":0,"syntology":null},{"url":null,"slug":"generative-relevance-feedback-with-large","title":"Generative Relevance Feedback with Large Language Models","date":"2023-04-25","arxiv_id":"2304.13157","repositories_listed":0,"syntology":null},{"url":null,"slug":"gmnlp-at-semeval-2023-task-12-sentiment","title":"GMNLP at SemEval-2023 Task 12: Sentiment Analysis with Phylogeny-Based Adapters","date":"2023-04-25","arxiv_id":"2304.12979","repositories_listed":0,"syntology":null},{"url":null,"slug":"hypernymization-of-named-entity-rich-captions","title":"Hypernymization of named entity-rich captions for grounding-based multi-modal pretraining","date":"2023-04-25","arxiv_id":"2304.13130","repositories_listed":0,"syntology":null},{"url":null,"slug":"kinlp-at-semeval-2023-task-12-kinyarwanda","title":"KINLP at SemEval-2023 Task 12: Kinyarwanda Tweet Sentiment Analysis","date":"2023-04-25","arxiv_id":"2304.12569","repositories_listed":0,"syntology":null},{"url":null,"slug":"nondeterministic-stacks-in-neural-networks","title":"Nondeterministic Stacks in Neural Networks","date":"2023-04-25","arxiv_id":"2304.12955","repositories_listed":0,"syntology":null},{"url":null,"slug":"state-spaces-aren-t-enough-machine","title":"State Spaces Aren't Enough: Machine Translation Needs Attention","date":"2023-04-25","arxiv_id":"2304.12776","repositories_listed":0,"syntology":null},{"url":null,"slug":"joint-semantic-and-structural-representation","title":"Joint Semantic and Structural Representation Learning for Enhancing User Preference Modelling","date":"2023-04-24","arxiv_id":"2304.12083","repositories_listed":0,"syntology":null},{"url":null,"slug":"domain-mastery-benchmark-an-ever-updating","title":"Domain Mastery Benchmark: An Ever-Updating Benchmark for Evaluating Holistic Domain Knowledge of Large Language Model--A Preliminary Release","date":"2023-04-23","arxiv_id":"2304.11679","repositories_listed":0,"syntology":null},{"url":null,"slug":"dialectical-language-model-evaluation-an","title":"Dialectical language model evaluation: An initial appraisal of the commonsense spatial reasoning abilities of LLMs","date":"2023-04-22","arxiv_id":"2304.11164","repositories_listed":0,"syntology":null},{"url":null,"slug":"recurrent-neural-networks-and-long-short-term","title":"Recurrent Neural Networks and Long Short-Term Memory Networks: Tutorial and Survey","date":"2023-04-22","arxiv_id":"2304.11461","repositories_listed":0,"syntology":null},{"url":null,"slug":"transformer-based-lm-surprisal-predicts-human","title":"Transformer-Based Language Model Surprisal Predicts Human Reading Times Best with About Two Billion Training Tokens","date":"2023-04-22","arxiv_id":"2304.11389","repositories_listed":0,"syntology":null},{"url":null,"slug":"robot-enabled-construction-assembly-with","title":"Robot-Enabled Construction Assembly with Automated Sequence Planning based on ChatGPT: RoboGPT","date":"2023-04-21","arxiv_id":"2304.11018","repositories_listed":0,"syntology":null},{"url":null,"slug":"skingpt-a-dermatology-diagnostic-system-with","title":"SkinGPT-4: An Interactive Dermatology Diagnostic System with Visual Large Language Model","date":"2023-04-21","arxiv_id":"2304.10691","repositories_listed":0,"syntology":null},{"url":null,"slug":"spatial-language-attention-policies-for","title":"Spatial-Language Attention Policies for Efficient Robot Learning","date":"2023-04-21","arxiv_id":"2304.11235","repositories_listed":0,"syntology":null},{"url":null,"slug":"analyzing-fomc-minutes-accuracy-and","title":"Analyzing FOMC Minutes: Accuracy and Constraints of Language Models","date":"2023-04-20","arxiv_id":"2304.10164","repositories_listed":0,"syntology":null},{"url":null,"slug":"ceil-a-general-classification-enhanced","title":"CEIL: A General Classification-Enhanced Iterative Learning Framework for Text Clustering","date":"2023-04-20","arxiv_id":"2304.11061","repositories_listed":0,"syntology":null},{"url":null,"slug":"indian-sign-language-recognition-using","title":"Indian Sign Language Recognition Using Mediapipe Holistic","date":"2023-04-20","arxiv_id":"2304.10256","repositories_listed":0,"syntology":null},{"url":null,"slug":"word-sense-induction-with-knowledge-1","title":"Word Sense Induction with Knowledge Distillation from BERT","date":"2023-04-20","arxiv_id":"2304.10642","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-theory-on-adam-instability-in-large-scale","title":"A Theory on Adam Instability in Large-Scale Machine Learning","date":"2023-04-19","arxiv_id":"2304.09871","repositories_listed":0,"syntology":null},{"url":null,"slug":"ec-2-emergent-communication-for-embodied","title":"EC^2: Emergent Communication for Embodied Control","date":"2023-04-19","arxiv_id":"2304.09448","repositories_listed":0,"syntology":null},{"url":null,"slug":"is-chatgpt-equipped-with-emotional-dialogue","title":"Is ChatGPT Equipped with Emotional Dialogue Capabilities?","date":"2023-04-19","arxiv_id":"2304.09582","repositories_listed":0,"syntology":null},{"url":null,"slug":"llm-as-a-robotic-brain-unifying-egocentric","title":"LLM as A Robotic Brain: Unifying Egocentric Memory and Control","date":"2023-04-19","arxiv_id":"2304.09349","repositories_listed":0,"syntology":null},{"url":null,"slug":"supporting-human-ai-collaboration-in-auditing","title":"Supporting Human-AI Collaboration in Auditing LLMs with LLMs","date":"2023-04-19","arxiv_id":"2304.09991","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-on-biomedical-text-summarization","title":"A Survey for Biomedical Text Summarization: From Pre-trained to Large Language Models","date":"2023-04-18","arxiv_id":"2304.08763","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-two-stage-framework-with-self-supervised","title":"A Two-Stage Framework with Self-Supervised Distillation For Cross-Domain Text Classification","date":"2023-04-18","arxiv_id":"2304.09820","repositories_listed":0,"syntology":null},{"url":null,"slug":"creating-large-language-model-resistant-exams","title":"Creating Large Language Model Resistant Exams: Guidelines and Strategies","date":"2023-04-18","arxiv_id":"2304.12203","repositories_listed":0,"syntology":null},{"url":null,"slug":"hero-roberta-and-longformer-hebrew-language","title":"HeRo: RoBERTa and Longformer Hebrew Language Models","date":"2023-04-18","arxiv_id":"2304.11077","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-language-models-based-automatic","title":"Large Language Models Based Automatic Synthesis of Software Specifications","date":"2023-04-18","arxiv_id":"2304.09181","repositories_listed":0,"syntology":null},{"url":null,"slug":"think-before-you-act-unified-policy-for","title":"Think Before You Act: Unified Policy for Interleaving Language Reasoning with Actions","date":"2023-04-18","arxiv_id":"2304.11063","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-evaluation-on-large-language-model-outputs","title":"An Evaluation on Large Language Model Outputs: Discourse and Memorization","date":"2023-04-17","arxiv_id":"2304.08637","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-rank-resources-with-gnn","title":"Learning To Rank Resources with GNN","date":"2023-04-17","arxiv_id":"2304.07946","repositories_listed":0,"syntology":null},{"url":null,"slug":"veco-2-0-cross-lingual-language-model-pre","title":"VECO 2.0: Cross-lingual Language Model Pre-training with Multi-granularity Contrastive Learning","date":"2023-04-17","arxiv_id":"2304.08205","repositories_listed":0,"syntology":null},{"url":null,"slug":"chain-of-thought-prompt-tuning-in-vision","title":"Chain of Thought Prompt Tuning in Vision Language Models","date":"2023-04-16","arxiv_id":"2304.07919","repositories_listed":0,"syntology":null},{"url":null,"slug":"pbnr-prompt-based-news-recommender-system","title":"PBNR: Prompt-based News Recommender System","date":"2023-04-16","arxiv_id":"2304.07862","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-ctc-alignment-based-non-autoregressive","title":"A CTC Alignment-based Non-autoregressive Transformer for End-to-end Automatic Speech Recognition","date":"2023-04-15","arxiv_id":"2304.07611","repositories_listed":0,"syntology":null},{"url":null,"slug":"analyzing-the-performance-of-chatgpt-in","title":"Analyzing the Performance of ChatGPT in Cardiology and Vascular Pathologies","date":"2023-04-15","arxiv_id":"2307.02518","repositories_listed":0,"syntology":null},{"url":null,"slug":"detecting-out-of-context-multimodal","title":"Interpretable Detection of Out-of-Context Misinformation with Neural-Symbolic-Enhanced Large Multimodal Model","date":"2023-04-15","arxiv_id":"2304.07633","repositories_listed":0,"syntology":null},{"url":null,"slug":"laser-neuro-symbolic-learning-of-semantic","title":"LASER: A Neuro-Symbolic Framework for Learning Spatial-Temporal Scene Graphs with Weak Supervision","date":"2023-04-15","arxiv_id":"2304.07647","repositories_listed":0,"syntology":null},{"url":null,"slug":"opi-at-semeval-2023-task-9-a-simple-but","title":"OPI at SemEval 2023 Task 9: A Simple But Effective Approach to Multilingual Tweet Intimacy Analysis","date":"2023-04-14","arxiv_id":"2304.07130","repositories_listed":0,"syntology":null},{"url":null,"slug":"optimal-inference-of-a-generalised-potts","title":"Mapping of attention mechanisms to a generalized Potts model","date":"2023-04-14","arxiv_id":"2304.07235","repositories_listed":0,"syntology":null},{"url":null,"slug":"stochastic-code-generation","title":"Stochastic Code Generation","date":"2023-04-14","arxiv_id":"2304.08243","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-future-of-chatgpt-enabled-labor-market-a","title":"The Future of ChatGPT-enabled Labor Market: A Preliminary Study in China","date":"2023-04-14","arxiv_id":"2304.09823","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-self-perception-and-political-biases-of","title":"The Self-Perception and Political Biases of ChatGPT","date":"2023-04-14","arxiv_id":"2304.07333","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-cap-anticipation-captioning-with","title":"A-CAP: Anticipation Captioning with Commonsense Knowledge","date":"2023-04-13","arxiv_id":"2304.06602","repositories_listed":0,"syntology":null},{"url":null,"slug":"chatgpt-4-outperforms-experts-and-crowd","title":"ChatGPT-4 Outperforms Experts and Crowd Workers in Annotating Political Twitter Messages with Zero-Shot Learning","date":"2023-04-13","arxiv_id":"2304.06588","repositories_listed":0,"syntology":null},{"url":null,"slug":"chatgpt-needs-spade-sustainability-privacy","title":"ChatGPT Needs SPADE (Sustainability, PrivAcy, Digital divide, and Ethics) Evaluation: A Review","date":"2023-04-13","arxiv_id":"2305.03123","repositories_listed":0,"syntology":null},{"url":null,"slug":"cls-token-is-all-you-need-for-zero-shot","title":"[CLS] Token is All You Need for Zero-Shot Semantic Segmentation","date":"2023-04-13","arxiv_id":"2304.06212","repositories_listed":0,"syntology":null},{"url":null,"slug":"g2t-a-simple-but-versatile-framework-for","title":"Graph2topic: an opensource topic modeling framework based on sentence embedding and community detection","date":"2023-04-13","arxiv_id":"2304.06653","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-few-shot-prompts-with-relevant","title":"Automatic Semantic Augmentation of Language Model Prompts (for Code Summarization)","date":"2023-04-13","arxiv_id":"2304.06815","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-personalized-decision-support","title":"Learning Personalized Decision Support Policies","date":"2023-04-13","arxiv_id":"2304.06701","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-responsible-ai-in-the-era-of-chatgpt","title":"A Reference Architecture for Designing Foundation Model based Systems","date":"2023-04-13","arxiv_id":"2304.11090","repositories_listed":0,"syntology":null},{"url":null,"slug":"galactic-chitchat-using-large-language-models","title":"Galactic ChitChat: Using Large Language Models to Converse with Astronomy Literature","date":"2023-04-12","arxiv_id":"2304.05406","repositories_listed":0,"syntology":null},{"url":null,"slug":"measuring-gender-bias-in-west-slavic-language","title":"Measuring Gender Bias in West Slavic Language Models","date":"2023-04-12","arxiv_id":"2304.05783","repositories_listed":0,"syntology":null},{"url":null,"slug":"semantic-feature-verification-in-flan-t5","title":"Semantic Feature Verification in FLAN-T5","date":"2023-04-12","arxiv_id":"2304.05591","repositories_listed":0,"syntology":null},{"url":null,"slug":"using-large-language-models-for-de","title":"Using Large Language Models for (De-)Formalization and Natural Argumentation Exercises for Beginner's Students","date":"2023-04-12","arxiv_id":"2304.06186","repositories_listed":0,"syntology":null},{"url":null,"slug":"training-large-language-models-efficiently","title":"Training Large Language Models Efficiently with Sparsity and Dataflow","date":"2023-04-11","arxiv_id":"2304.05511","repositories_listed":0,"syntology":null},{"url":null,"slug":"automated-reading-passage-generation-with","title":"Automated Reading Passage Generation with OpenAI's Large Language Model","date":"2023-04-10","arxiv_id":"2304.04616","repositories_listed":0,"syntology":null},{"url":"/paper/detclipv2-scalable-open-vocabulary-object","slug":"detclipv2-scalable-open-vocabulary-object","title":"DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre-training via Word-Region Alignment","date":"2023-04-10","arxiv_id":"2304.04514","repositories_listed":0,"syntology":null},{"url":null,"slug":"similarity-aware-multimodal-prompt-learning","title":"Similarity-Aware Multimodal Prompt Learning for Fake News Detection","date":"2023-04-09","arxiv_id":"2304.04187","repositories_listed":0,"syntology":null},{"url":null,"slug":"decoder-only-or-encoder-decoder-interpreting","title":"Decoder-Only or Encoder-Decoder? Interpreting Language Model as a Regularized Encoder-Decoder","date":"2023-04-08","arxiv_id":"2304.04052","repositories_listed":0,"syntology":null},{"url":null,"slug":"gpt4rec-a-generative-framework-for","title":"GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation","date":"2023-04-08","arxiv_id":"2304.03879","repositories_listed":0,"syntology":null},{"url":null,"slug":"from-retrieval-to-generation-efficient-and","title":"From Retrieval to Generation: Efficient and Effective Entity Set Expansion","date":"2023-04-07","arxiv_id":"2304.03531","repositories_listed":0,"syntology":null},{"url":null,"slug":"language-aware-multiple-datasets-detection","title":"Language-aware Multiple Datasets Detection Pretraining for DETRs","date":"2023-04-07","arxiv_id":"2304.03580","repositories_listed":0,"syntology":null},{"url":null,"slug":"templ-a-novel-deep-learning-model-for-zero","title":"TemPL: A Novel Deep Learning Model for Zero-Shot Prediction of Protein Stability and Activity Based on Temperature-Guided Language Modeling","date":"2023-04-07","arxiv_id":"2304.03780","repositories_listed":0,"syntology":null},{"url":null,"slug":"bengali-fake-review-detection-using-semi","title":"Bengali Fake Review Detection using Semi-supervised Generative Adversarial Networks","date":"2023-04-05","arxiv_id":"2304.02739","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-language-models-as-master-key-unlocking","title":"Large Language Models as Master Key: Unlocking the Secrets of Materials Science with GPT","date":"2023-04-05","arxiv_id":"2304.02213","repositories_listed":0,"syntology":null},{"url":null,"slug":"revolutionizing-single-cell-analysis-the","title":"Revolutionizing Single Cell Analysis: The Power of Large Language Models for Cell Type Annotation","date":"2023-04-05","arxiv_id":"2304.02697","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-self-explainability-of-deep-neural","title":"Towards Self-Explainability of Deep Neural Networks with Heatmap Captioning and Large-Language Models","date":"2023-04-05","arxiv_id":"2304.02202","repositories_listed":0,"syntology":null},{"url":null,"slug":"what-s-in-a-name-beyond-class-indices-for","title":"What's in a Name? Beyond Class Indices for Image Recognition","date":"2023-04-05","arxiv_id":"2304.02364","repositories_listed":0,"syntology":null},{"url":null,"slug":"dialogue-contextualized-re-ranking-for","title":"Dialogue-Contextualized Re-ranking for Medical History-Taking","date":"2023-04-04","arxiv_id":"2304.01974","repositories_listed":0,"syntology":null},{"url":null,"slug":"is-chatgpt-a-highly-fluent-grammatical-error","title":"Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive Evaluation","date":"2023-04-04","arxiv_id":"2304.01746","repositories_listed":0,"syntology":null},{"url":null,"slug":"locate-then-generate-bridging-vision-and","title":"Locate Then Generate: Bridging Vision and Language with Bounding Box for Scene-Text VQA","date":"2023-04-04","arxiv_id":"2304.01603","repositories_listed":0,"syntology":null},{"url":null,"slug":"scalable-and-accurate-self-supervised","title":"Scalable and Accurate Self-supervised Multimodal Representation Learning without Aligned Video and Text Data","date":"2023-04-04","arxiv_id":"2304.02080","repositories_listed":0,"syntology":null},{"url":null,"slug":"using-language-models-for-knowledge","title":"Using Language Models For Knowledge Acquisition in Natural Language Reasoning Problems","date":"2023-04-04","arxiv_id":"2304.01771","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-the-use-of-large-language-models","title":"Exploring the Use of Large Language Models for Reference-Free Text Quality Evaluation: An Empirical Study","date":"2023-04-03","arxiv_id":"2304.00723","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-modal-perceiver-language-model-for","title":"Multi-Modal Perceiver Language Model for Outcome Prediction in Emergency Department","date":"2023-04-03","arxiv_id":"2304.01233","repositories_listed":0,"syntology":null},{"url":null,"slug":"demonstration-of-insightpilot-an-llm","title":"Demonstration of InsightPilot: An LLM-Empowered Automated Data Exploration System","date":"2023-04-02","arxiv_id":"2304.00477","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-measurement-based-quantum-like-language","title":"A Measurement-Based Quantum-Like Language Model for Text Matching","date":"2023-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"network-visualization-of-chatgpt-research-a","title":"Network Visualization of ChatGPT Research: a study based on term and keyword co-occurrence network analysis","date":"2023-04-01","arxiv_id":"2304.01948","repositories_listed":0,"syntology":null},{"url":null,"slug":"extracting-thyroid-nodules-characteristics","title":"Extracting Thyroid Nodules Characteristics from Ultrasound Reports Using Transformer-based Natural Language Processing Methods","date":"2023-03-31","arxiv_id":"2304.00115","repositories_listed":0,"syntology":null},{"url":null,"slug":"identifying-symptoms-of-delirium-from","title":"Identifying Symptoms of Delirium from Clinical Narratives Using Natural Language Processing","date":"2023-03-31","arxiv_id":"2304.00111","repositories_listed":0,"syntology":null},{"url":null,"slug":"pair-programming-with-large-language-models","title":"Pair Programming with Large Language Models for Sampling and Estimation of Copulas","date":"2023-03-31","arxiv_id":"2303.18116","repositories_listed":0,"syntology":null},{"url":null,"slug":"quick-dense-retrievers-consume-kale-post","title":"Quick Dense Retrievers Consume KALE: Post Training Kullback Leibler Alignment of Embeddings for Asymmetrical dual encoders","date":"2023-03-31","arxiv_id":"2304.01016","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-bert-based-unsupervised-grammatical-error","title":"A BERT-based Unsupervised Grammatical Error Correction Framework","date":"2023-03-30","arxiv_id":"2303.17367","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-nordic-pile-a-1-2tb-nordic-dataset-for","title":"The Nordic Pile: A 1.2TB Nordic Dataset for Language Modeling","date":"2023-03-30","arxiv_id":"2303.17183","repositories_listed":0,"syntology":null},{"url":null,"slug":"vision-language-modelling-for-radiological","title":"Vision-Language Modelling For Radiological Imaging and Reports In The Low Data Regime","date":"2023-03-30","arxiv_id":"2303.17644","repositories_listed":0,"syntology":null},{"url":null,"slug":"advances-in-apparent-conceptual-physics","title":"Advances in apparent conceptual physics reasoning in GPT-4","date":"2023-03-29","arxiv_id":"2303.17012","repositories_listed":0,"syntology":null},{"url":null,"slug":"joint-unsupervised-and-supervised-learning","title":"Joint unsupervised and supervised learning for context-aware language identification","date":"2023-03-29","arxiv_id":"2303.16511","repositories_listed":0,"syntology":null},{"url":null,"slug":"mask-free-ovis-open-vocabulary-instance","title":"Mask-free OVIS: Open-Vocabulary Instance Segmentation without Manual Mask Annotations","date":"2023-03-29","arxiv_id":"2303.16891","repositories_listed":0,"syntology":null},{"url":null,"slug":"protfim-fill-in-middle-protein-sequence","title":"ProtFIM: Fill-in-Middle Protein Sequence Design via Protein Language Models","date":"2023-03-29","arxiv_id":"2303.16452","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-and-evaluation-towards-fairness-in","title":"Model and Evaluation: Towards Fairness in Multilingual Text Classification","date":"2023-03-28","arxiv_id":"2303.15697","repositories_listed":0,"syntology":null},{"url":null,"slug":"planning-with-sequence-models-through","title":"Planning with Sequence Models through Iterative Energy Minimization","date":"2023-03-28","arxiv_id":"2303.16189","repositories_listed":0,"syntology":null},{"url":null,"slug":"spatiotemporally-discriminative-video","title":"Structured Video-Language Modeling with Temporal Grouping and Spatial Grounding","date":"2023-03-28","arxiv_id":"2303.16341","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-utterance-asr-rescoring-with-graph","title":"Cross-utterance ASR Rescoring with Graph-based Label Propagation","date":"2023-03-27","arxiv_id":"2303.15132","repositories_listed":0,"syntology":null},{"url":null,"slug":"linguistically-informed-chatgpt-prompts-to","title":"Linguistically Informed ChatGPT Prompts to Enhance Japanese-Chinese Machine Translation: A Case Study on Attributive Clauses","date":"2023-03-27","arxiv_id":"2303.15587","repositories_listed":0,"syntology":null},{"url":null,"slug":"lmcanvas-object-oriented-interaction-to","title":"LMCanvas: Object-Oriented Interaction to Personalize Large Language Model-Powered Writing Environments","date":"2023-03-27","arxiv_id":"2303.15125","repositories_listed":0,"syntology":null},{"url":null,"slug":"typhoon-towards-an-effective-task-specific","title":"Typhoon: Towards an Effective Task-Specific Masking Strategy for Pre-trained Language Models","date":"2023-03-27","arxiv_id":"2303.15619","repositories_listed":0,"syntology":null}],"record_sha256":"0bbd0f689304ef326728a4161845c698286f45f273e4121b47a9564e4ee3572b","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}