{"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/hallucination/papers/17","list_of":"/task/hallucination","task":"Hallucination","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":17,"pages_in_order":19,"rows_per_page":100,"rows":[1601,1700],"of":1816,"counts":{"archive_papers_tagged":1816,"with_a_code_link":752,"where_syntology_ran_a_sample":276,"not_listed_spam_title":0,"listed":1816,"listed_where_code_ran":276,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":240,"every_run_a_failure_of_syntologys_instrument":36,"listed_with_a_run_with_no_instrument_failure":240,"listed_every_run_a_failure_of_syntologys_instrument":36,"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/hallucination","prev":"/task/hallucination/papers/16","next":"/task/hallucination/papers/18","papers":[{"url":null,"slug":"automatic-hallucination-assessment-for","title":"ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks","date":"2023-10-19","arxiv_id":"2310.12516","repositories_listed":0,"syntology":null},{"url":null,"slug":"know-where-to-go-make-llm-a-relevant","title":"Know Where to Go: Make LLM a Relevant, Responsible, and Trustworthy Searcher","date":"2023-10-19","arxiv_id":"2310.12443","repositories_listed":0,"syntology":null},{"url":null,"slug":"flow-dynamics-correction-for-action","title":"Flow Dynamics Correction for Action Recognition","date":"2023-10-16","arxiv_id":"2310.10059","repositories_listed":0,"syntology":null},{"url":null,"slug":"metric-ensembles-for-hallucination-detection","title":"Metric Ensembles For Hallucination Detection","date":"2023-10-16","arxiv_id":"2310.10495","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-reducing-hallucination-in-extracting","title":"Towards reducing hallucination in extracting information from financial reports using Large Language Models","date":"2023-10-16","arxiv_id":"2310.10760","repositories_listed":0,"syntology":null},{"url":null,"slug":"configuration-validation-with-large-language","title":"Configuration Validation with Large Language Models","date":"2023-10-15","arxiv_id":"2310.09690","repositories_listed":0,"syntology":null},{"url":null,"slug":"teaching-language-models-to-hallucinate-less","title":"Teaching Language Models to Hallucinate Less with Synthetic Tasks","date":"2023-10-10","arxiv_id":"2310.06827","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-mitigating-hallucination-in-large","title":"Towards Mitigating Hallucination in Large Language Models via Self-Reflection","date":"2023-10-10","arxiv_id":"2310.06271","repositories_listed":0,"syntology":null},{"url":null,"slug":"negative-object-presence-evaluation-nope-to","title":"Negative Object Presence Evaluation (NOPE) to Measure Object Hallucination in Vision-Language Models","date":"2023-10-09","arxiv_id":"2310.05338","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-troubling-emergence-of-hallucination-in","title":"The Troubling Emergence of Hallucination in Large Language Models -- An Extensive Definition, Quantification, and Prescriptive Remediations","date":"2023-10-08","arxiv_id":"2310.04988","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-the-reliability-of-large-language","title":"Improving the Reliability of Large Language Models by Leveraging Uncertainty-Aware In-Context Learning","date":"2023-10-07","arxiv_id":"2310.04782","repositories_listed":0,"syntology":null},{"url":null,"slug":"autohall-automated-hallucination-dataset","title":"AutoHall: Automated Hallucination Dataset Generation for Large Language Models","date":"2023-09-30","arxiv_id":"2310.00259","repositories_listed":0,"syntology":null},{"url":null,"slug":"self-specialization-uncovering-latent","title":"Self-Specialization: Uncovering Latent Expertise within Large Language Models","date":"2023-09-29","arxiv_id":"2310.00160","repositories_listed":0,"syntology":null},{"url":null,"slug":"augmenting-llms-with-knowledge-a-survey-on","title":"Augmenting LLMs with Knowledge: A survey on hallucination prevention","date":"2023-09-28","arxiv_id":"2309.16459","repositories_listed":0,"syntology":null},{"url":null,"slug":"neuro-symbolic-reasoning-for-planning","title":"Neuro Symbolic Reasoning for Planning: Counterexample Guided Inductive Synthesis using Large Language Models and Satisfiability Solving","date":"2023-09-28","arxiv_id":"2309.16436","repositories_listed":0,"syntology":null},{"url":null,"slug":"aligning-large-multimodal-models-with","title":"Aligning Large Multimodal Models with Factually Augmented RLHF","date":"2023-09-25","arxiv_id":"2309.14525","repositories_listed":0,"syntology":null},{"url":null,"slug":"construction-of-paired-knowledge-graph-text","title":"Construction of Paired Knowledge Graph-Text Datasets Informed by Cyclic Evaluation","date":"2023-09-20","arxiv_id":"2309.11669","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-the-relationship-between-llm","title":"Exploring the Relationship between LLM Hallucinations and Prompt Linguistic Nuances: Readability, Formality, and Concreteness","date":"2023-09-20","arxiv_id":"2309.11064","repositories_listed":0,"syntology":null},{"url":null,"slug":"explaining-agent-behavior-with-large-language","title":"Explaining Agent Behavior with Large Language Models","date":"2023-09-19","arxiv_id":"2309.10346","repositories_listed":0,"syntology":null},{"url":null,"slug":"cb-whisper-contextual-biasing-whisper-using","title":"A Multitask Training Approach to Enhance Whisper with Contextual Biasing and Open-Vocabulary Keyword Spotting","date":"2023-09-18","arxiv_id":"2309.09552","repositories_listed":0,"syntology":null},{"url":"/paper/culturax-a-cleaned-enormous-and-multilingual","slug":"culturax-a-cleaned-enormous-and-multilingual","title":"CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages","date":"2023-09-17","arxiv_id":"2309.09400","repositories_listed":0,"syntology":null},{"url":null,"slug":"quantifying-and-attributing-the-hallucination","title":"Quantifying and Attributing the Hallucination of Large Language Models via Association Analysis","date":"2023-09-11","arxiv_id":"2309.05217","repositories_listed":0,"syntology":null},{"url":null,"slug":"knowledge-solver-teaching-llms-to-search-for","title":"Knowledge Solver: Teaching LLMs to Search for Domain Knowledge from Knowledge Graphs","date":"2023-09-06","arxiv_id":"2309.03118","repositories_listed":0,"syntology":null},{"url":null,"slug":"parameter-efficient-audio-captioning-with","title":"Parameter Efficient Audio Captioning With Faithful Guidance Using Audio-text Shared Latent Representation","date":"2023-09-06","arxiv_id":"2309.03340","repositories_listed":0,"syntology":null},{"url":null,"slug":"ciem-contrastive-instruction-evaluation","title":"CIEM: Contrastive Instruction Evaluation Method for Better Instruction Tuning","date":"2023-09-05","arxiv_id":"2309.02301","repositories_listed":0,"syntology":null},{"url":null,"slug":"representations-matter-embedding-modes-of","title":"Representations Matter: Embedding Modes of Large Language Models using Dynamic Mode Decomposition","date":"2023-09-03","arxiv_id":"2309.01245","repositories_listed":0,"syntology":null},{"url":null,"slug":"online-overexposed-pixels-hallucination-in","title":"Online Overexposed Pixels Hallucination in Videos with Adaptive Reference Frame Selection","date":"2023-08-29","arxiv_id":"2308.15462","repositories_listed":0,"syntology":null},{"url":null,"slug":"simple-is-better-and-large-is-not-enough","title":"Simple is Better and Large is Not Enough: Towards Ensembling of Foundational Language Models","date":"2023-08-23","arxiv_id":"2308.12272","repositories_listed":0,"syntology":null},{"url":null,"slug":"harmonization-across-imaging-locations-hail","title":"Harmonization Across Imaging Locations(HAIL): One-Shot Learning for Brain MRI","date":"2023-08-21","arxiv_id":"2308.11047","repositories_listed":0,"syntology":null},{"url":null,"slug":"foodgpt-a-large-language-model-in-food","title":"FoodGPT: A Large Language Model in Food Testing Domain with Incremental Pre-training and Knowledge Graph Prompt","date":"2023-08-20","arxiv_id":"2308.10173","repositories_listed":0,"syntology":null},{"url":null,"slug":"pumgpt-a-large-vision-language-model-for","title":"PUMGPT: A Large Vision-Language Model for Product Understanding","date":"2023-08-18","arxiv_id":"2308.09568","repositories_listed":0,"syntology":null},{"url":null,"slug":"generating-faithful-text-from-a-knowledge","title":"Generating Faithful Text From a Knowledge Graph with Noisy Reference Text","date":"2023-08-12","arxiv_id":"2308.06488","repositories_listed":0,"syntology":null},{"url":null,"slug":"hybrid-retrieval-augmented-generation-for","title":"Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction","date":"2023-08-08","arxiv_id":"2308.04215","repositories_listed":0,"syntology":null},{"url":null,"slug":"user-controlled-knowledge-fusion-in-large","title":"User-Controlled Knowledge Fusion in Large Language Models: Balancing Creativity and Hallucination","date":"2023-07-30","arxiv_id":"2307.16139","repositories_listed":0,"syntology":null},{"url":null,"slug":"hallucination-improves-the-performance-of","title":"Hallucination Improves the Performance of Unsupervised Visual Representation Learning","date":"2023-07-22","arxiv_id":"2307.12168","repositories_listed":0,"syntology":null},{"url":null,"slug":"generating-mathematical-derivations-with","title":"Controlling Equational Reasoning in Large Language Models with Prompt Interventions","date":"2023-07-19","arxiv_id":"2307.09998","repositories_listed":0,"syntology":null},{"url":null,"slug":"look-before-you-leap-an-exploratory-study-of","title":"Look Before You Leap: An Exploratory Study of Uncertainty Measurement for Large Language Models","date":"2023-07-16","arxiv_id":"2307.10236","repositories_listed":0,"syntology":null},{"url":null,"slug":"sinc-self-supervised-in-context-learning-for","title":"SINC: Self-Supervised In-Context Learning for Vision-Language Tasks","date":"2023-07-15","arxiv_id":"2307.07742","repositories_listed":0,"syntology":null},{"url":null,"slug":"facial-reenactment-through-a-personalized","title":"Facial Reenactment Through a Personalized Generator","date":"2023-07-12","arxiv_id":"2307.06307","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-rnn-transducers-with-acoustic","title":"Improving RNN-Transducers with Acoustic LookAhead","date":"2023-07-11","arxiv_id":"2307.05006","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-stitch-in-time-saves-nine-detecting-and","title":"A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation","date":"2023-07-08","arxiv_id":"2307.03987","repositories_listed":0,"syntology":null},{"url":null,"slug":"challenges-in-domain-specific-abstractive","title":"Challenges in Domain-Specific Abstractive Summarization and How to Overcome them","date":"2023-07-03","arxiv_id":"2307.00963","repositories_listed":0,"syntology":null},{"url":null,"slug":"evidence-for-reduced-sensory-precision-and","title":"Evidence for Reduced Sensory Precision and Increased Reliance on Priors in Hallucination-Prone Individuals in a General Population Sample","date":"2023-06-24","arxiv_id":"2306.13832","repositories_listed":0,"syntology":null},{"url":null,"slug":"ierl-interpretable-ensemble-representation","title":"IERL: Interpretable Ensemble Representation Learning -- Combining CrowdSourced Knowledge and Distributed Semantic Representations","date":"2023-06-24","arxiv_id":"2306.13865","repositories_listed":0,"syntology":null},{"url":null,"slug":"hallucination-is-the-last-thing-you-need","title":"Hallucination is the last thing you need","date":"2023-06-20","arxiv_id":"2306.11520","repositories_listed":0,"syntology":null},{"url":null,"slug":"vision-transformer-with-attention-map","title":"Vision Transformer with Attention Map Hallucination and FFN Compaction","date":"2023-06-19","arxiv_id":"2306.10875","repositories_listed":0,"syntology":null},{"url":null,"slug":"pushing-the-limits-of-chatgpt-on-nlp-tasks","title":"Pushing the Limits of ChatGPT on NLP Tasks","date":"2023-06-16","arxiv_id":"2306.09719","repositories_listed":0,"syntology":null},{"url":null,"slug":"explaining-legal-concepts-with-augmented","title":"Explaining Legal Concepts with Augmented Large Language Models (GPT-4)","date":"2023-06-15","arxiv_id":"2306.09525","repositories_listed":0,"syntology":null},{"url":null,"slug":"trapping-llm-hallucinations-using-tagged","title":"Trapping LLM Hallucinations Using Tagged Context Prompts","date":"2023-06-09","arxiv_id":"2306.06085","repositories_listed":0,"syntology":null},{"url":null,"slug":"defocus-to-focus-photo-realistic-bokeh","title":"Defocus to focus: Photo-realistic bokeh rendering by fusing defocus and radiance priors","date":"2023-06-07","arxiv_id":"2306.04506","repositories_listed":0,"syntology":null},{"url":null,"slug":"mmt5-modular-multilingual-pre-training-solves","title":"mmT5: Modular Multilingual Pre-Training Solves Source Language Hallucinations","date":"2023-05-23","arxiv_id":"2305.14224","repositories_listed":0,"syntology":null},{"url":null,"slug":"rcot-detecting-and-rectifying-factual","title":"RCOT: Detecting and Rectifying Factual Inconsistency in Reasoning by Reversing Chain-of-Thought","date":"2023-05-19","arxiv_id":"2305.11499","repositories_listed":0,"syntology":null},{"url":null,"slug":"meta-hallucinator-towards-few-shot-cross","title":"Meta-hallucinator: Towards Few-Shot Cross-Modality Cardiac Image Segmentation","date":"2023-05-11","arxiv_id":"2305.06978","repositories_listed":0,"syntology":null},{"url":"/paper/simple-token-level-confidence-improves","slug":"simple-token-level-confidence-improves","title":"Simple Token-Level Confidence Improves Caption Correctness","date":"2023-05-11","arxiv_id":"2305.07021","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-dark-side-of-chatgpt-legal-and-ethical","title":"The Dark Side of ChatGPT: Legal and Ethical Challenges from Stochastic Parrots and Hallucination","date":"2023-04-21","arxiv_id":"2304.14347","repositories_listed":0,"syntology":null},{"url":null,"slug":"using-mobile-data-and-deep-models-to-assess","title":"Using Mobile Data and Deep Models to Assess Auditory Verbal Hallucinations","date":"2023-04-20","arxiv_id":"2304.11049","repositories_listed":0,"syntology":null},{"url":null,"slug":"adaptive-stylization-modulation-for-domain","title":"Dual Stage Stylization Modulation for Domain Generalized Semantic Segmentation","date":"2023-04-18","arxiv_id":"2304.09347","repositories_listed":0,"syntology":null},{"url":null,"slug":"chatipcc-grounding-conversational-ai-in","title":"chatClimate: Grounding Conversational AI in Climate Science","date":"2023-04-11","arxiv_id":"2304.05510","repositories_listed":0,"syntology":null},{"url":null,"slug":"meta-world-conditional-neural-processes","title":"Meta-World Conditional Neural Processes","date":"2023-02-20","arxiv_id":"2302.10320","repositories_listed":0,"syntology":null},{"url":null,"slug":"chatgpt-feb-13-version-is-a-chinese-room","title":"ChatGPT (Feb 13 Version) is a Chinese Room","date":"2023-02-19","arxiv_id":"2304.12411","repositories_listed":0,"syntology":null},{"url":null,"slug":"why-is-this-misleading-detecting-news","title":"\"Why is this misleading?\": Detecting News Headline Hallucinations with Explanations","date":"2023-02-12","arxiv_id":"2302.05852","repositories_listed":0,"syntology":null},{"url":null,"slug":"distillation-of-encoder-decoder-transformers","title":"Distillation of encoder-decoder transformers for sequence labelling","date":"2023-02-10","arxiv_id":"2302.05454","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-mental-health-dialogue-system","title":"Deep Learning Mental Health Dialogue System","date":"2023-01-23","arxiv_id":"2301.09412","repositories_listed":0,"syntology":null},{"url":null,"slug":"machine-learning-techniques-for-the","title":"Machine learning techniques for the Schizophrenia diagnosis: A comprehensive review and future research directions","date":"2023-01-16","arxiv_id":"2301.07496","repositories_listed":0,"syntology":null},{"url":null,"slug":"clip-cluster-clip-guided-attribute","title":"CLIP-Cluster: CLIP-Guided Attribute Hallucination for Face Clustering","date":"2023-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/propsegment-a-large-scale-corpus-for","slug":"propsegment-a-large-scale-corpus-for","title":"PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment Recognition","date":"2022-12-21","arxiv_id":"2212.10750","repositories_listed":0,"syntology":null},{"url":null,"slug":"murmur-modular-multi-step-reasoning-for-semi","title":"MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text Generation","date":"2022-12-16","arxiv_id":"2212.08607","repositories_listed":0,"syntology":null},{"url":null,"slug":"information-theoretic-text-hallucination","title":"Information-Theoretic Text Hallucination Reduction for Video-grounded Dialogue","date":"2022-12-12","arxiv_id":"2212.05765","repositories_listed":0,"syntology":null},{"url":null,"slug":"improved-beam-search-for-hallucination","title":"Improved Beam Search for Hallucination Mitigation in Abstractive Summarization","date":"2022-12-06","arxiv_id":"2212.02712","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-on-gpt-3","title":"a survey on GPT-3","date":"2022-12-01","arxiv_id":"2212.00857","repositories_listed":0,"syntology":null},{"url":null,"slug":"audio-visual-video-face-hallucination-with","title":"Audio-visual video face hallucination with frequency supervision and cross modality support by speech based lip reading loss","date":"2022-11-20","arxiv_id":"2211.10883","repositories_listed":0,"syntology":null},{"url":null,"slug":"structural-aging-of-human-neurons-is-the","title":"Structural aging of human neurons is the opposite of the changes in schizophrenia","date":"2022-11-13","arxiv_id":"2211.07024","repositories_listed":0,"syntology":null},{"url":null,"slug":"comparing-computational-architectures-for","title":"Comparing Computational Architectures for Automated Journalism","date":"2022-10-08","arxiv_id":"2210.04107","repositories_listed":0,"syntology":null},{"url":null,"slug":"toxicity-in-multilingual-machine-translation","title":"Toxicity in Multilingual Machine Translation at Scale","date":"2022-10-06","arxiv_id":"2210.03070","repositories_listed":0,"syntology":null},{"url":null,"slug":"guiding-the-plms-with-semantic-anchors-as","title":"Unveiling the Black Box of PLMs with Semantic Anchors: Towards Interpretable Neural Semantic Parsing","date":"2022-10-04","arxiv_id":"2210.01425","repositories_listed":0,"syntology":null},{"url":null,"slug":"probing-of-quantitative-values-in-abstractive","title":"Probing of Quantitative Values in Abstractive Summarization Models","date":"2022-10-03","arxiv_id":"2210.00667","repositories_listed":0,"syntology":null},{"url":null,"slug":"dynamic-generation-of-interpretable-inference","title":"NELLIE: A Neuro-Symbolic Inference Engine for Grounded, Compositional, and Explainable Reasoning","date":"2022-09-16","arxiv_id":"2209.07662","repositories_listed":0,"syntology":null},{"url":null,"slug":"entity-based-de-noising-modeling-for","title":"Entity-based De-noising Modeling for Controllable Dialogue Summarization","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"segmentation-guided-domain-adaptation-and","title":"Segmentation-guided Domain Adaptation and Data Harmonization of Multi-device Retinal Optical Coherence Tomography using Cycle-Consistent Generative Adversarial Networks","date":"2022-08-31","arxiv_id":"2208.14635","repositories_listed":0,"syntology":null},{"url":null,"slug":"thutmose-tagger-single-pass-neural-model-for","title":"Thutmose Tagger: Single-pass neural model for Inverse Text Normalization","date":"2022-07-29","arxiv_id":"2208.00064","repositories_listed":0,"syntology":null},{"url":null,"slug":"hob-cnn-hallucination-of-occluded-branches","title":"HOB-CNN: Hallucination of Occluded Branches with a Convolutional Neural Network for 2D Fruit Trees","date":"2022-07-28","arxiv_id":"2208.00002","repositories_listed":0,"syntology":null},{"url":null,"slug":"inertial-hallucinations-when-wearable","title":"Inertial Hallucinations -- When Wearable Inertial Devices Start Seeing Things","date":"2022-07-14","arxiv_id":"2207.06789","repositories_listed":0,"syntology":null},{"url":null,"slug":"frame-evaluating-simulatability-metrics-for","title":"FRAME: Evaluating Rationale-Label Consistency Metrics for Free-Text Rationales","date":"2022-07-02","arxiv_id":"2207.00779","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploiting-numerical-contextual-knowledge-to","title":"Exploiting Numerical-Contextual Knowledge to Improve Numerical Reasoning in Question Answering","date":"2022-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"generalizing-morphological-inflection-systems","title":"Generalizing Morphological Inflection Systems to Unseen Lemmas","date":"2022-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"heimorph-at-sigmorphon-2022-shared-task-on","title":"HeiMorph at SIGMORPHON 2022 Shared Task on Morphological Acquisition Trajectories","date":"2022-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"probing-causes-of-hallucinations-in-neural","title":"Probing Causes of Hallucinations in Neural Machine Translations","date":"2022-06-25","arxiv_id":"2206.12529","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-using-privileged-information-for","title":"Learning Using Privileged Information for Zero-Shot Action Recognition","date":"2022-06-17","arxiv_id":"2206.08632","repositories_listed":0,"syntology":null},{"url":null,"slug":"text-generation-with-text-editing-models","title":"Text Generation with Text-Editing Models","date":"2022-06-14","arxiv_id":"2206.07043","repositories_listed":0,"syntology":null},{"url":null,"slug":"abstraction-ou-hallucination-etat-des-lieux","title":"Abstraction ou hallucination ? État des lieux et évaluation du risque pour les modèles de génération de résumés automatiques de type séquence-à-séquence (Abstraction or Hallucination ? Status and Risk assessment for sequence-to-sequence Automatic)","date":"2022-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"supporting-complex-information-seeking-tasks","title":"Making Large Language Models Interactive: A Pioneer Study on Supporting Complex Information-Seeking Tasks with Implicit Constraints","date":"2022-05-02","arxiv_id":"2205.00584","repositories_listed":0,"syntology":null},{"url":null,"slug":"one-wug-two-wug-s-transformer-inflection","title":"One Wug, Two Wug+s Transformer Inflection Models Hallucinate Affixes","date":"2022-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"an-investigation-of-monotonic-transducers-for","title":"An Investigation of Monotonic Transducers for Large-Scale Automatic Speech Recognition","date":"2022-04-19","arxiv_id":"2204.08858","repositories_listed":0,"syntology":null},{"url":null,"slug":"escaping-data-scarcity-for-high-resolution","title":"Escaping Data Scarcity for High-Resolution Heterogeneous Face Hallucination","date":"2022-03-30","arxiv_id":"2203.16669","repositories_listed":0,"syntology":null},{"url":null,"slug":"transforming-sequence-tagging-into-a-seq2seq","title":"Transforming Sequence Tagging Into A Seq2Seq Task","date":"2022-03-16","arxiv_id":"2203.08378","repositories_listed":0,"syntology":null},{"url":"/paper/gcfsr-a-generative-and-controllable-face","slug":"gcfsr-a-generative-and-controllable-face","title":"GCFSR: a Generative and Controllable Face Super Resolution Method Without Facial and GAN Priors","date":"2022-03-14","arxiv_id":"2203.07319","repositories_listed":0,"syntology":{"n":20,"n_ran":11,"n_constructed":8,"n_ran_checked":10,"n_instrument":1,"n_unverified":9,"n_honours":0,"n_violates":1,"n_no_contract":9,"n_pointer_only":20,"phrase":"11 ran (of which 8 constructed an object rather than computing a result; 10 with no instrument failure: 0 honoured, 1 violated, 9 with no contract checked; 1 where Syntology's instrument failed) · 9 unverified","sample_list":"/paper/gcfsr-a-generative-and-controllable-face#ran","syntology_url":"https://syntology.ai/paper/2203.07319","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2203.07319"}},"official":null}},{"url":null,"slug":"beach-to-bitch-inadvertent-unsafe","title":"'Beach' to 'Bitch': Inadvertent Unsafe Transcription of Kids' Content on YouTube","date":"2022-02-17","arxiv_id":"2203.04837","repositories_listed":0,"syntology":null},{"url":null,"slug":"survey-of-hallucination-in-natural-language","title":"Survey of Hallucination in Natural Language Generation","date":"2022-02-08","arxiv_id":"2202.03629","repositories_listed":0,"syntology":null},{"url":null,"slug":"neuregenerate-a-framework-for-visualizing","title":"NeuRegenerate: A Framework for Visualizing Neurodegeneration","date":"2022-02-02","arxiv_id":"2202.01115","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-approaches-on-image-captioning","title":"Deep Learning Approaches on Image Captioning: A Review","date":"2022-01-31","arxiv_id":"2201.12944","repositories_listed":0,"syntology":null}],"record_sha256":"cb81256af0ede134e9a427276e3151548c56a31553f1e899f04f1d86bd2e2aa9","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}