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https://aclanthology.org/2021.eacl-main.25/ Evaluating the Evaluation of Diversity in Natural Language Generation - ACL Anthology Guy Tevet, Jonathan Berant. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume. 2021. natural language generation the evaluation evaluating diversity https://aclanthology.org/2020.findings-emnlp.291/ Towards Controllable Biases in Language Generation - ACL Anthology Emily Sheng, Kai-Wei Chang, Prem Natarajan, Nanyun Peng. Findings of the Association for Computational Linguistics: EMNLP 2020. 2020. in language towards controllable biases generation https://openreview.net/forum?id=kRoWeLTpL4 Copyright-Protected Language Generation via Adaptive Model Fusion | OpenReview The risk of language models reproducing copyrighted material from their training data has led to the development of various protective measures. Among these,... language generation adaptive model copyright protected via https://www.uni-bamberg.de/en/ds/open-positions/ Open Positions - Natural Language Generation and Dialogue Systems Group natural language generation open positions dialogue systems group https://aclanthology.org/2022.emnlp-industry.30/ Controlled Language Generation for Language Learning Items - ACL Anthology Kevin Stowe, Debanjan Ghosh, Mengxuan Zhao. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: Industry Track. 2022. controlled language for learning generation items acl https://aclanthology.org/2021.starsem-1.12/ InFillmore: Frame-Guided Language Generation with Bidirectional Context - ACL Anthology Jiefu Ou, Nathaniel Weir, Anton Belyy, Felix Yu, Benjamin Van Durme. Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational... language generation frame guided bidirectional context https://openreview.net/forum?id=MNCEySUouQ On the Query Complexity of Verifier-Assisted Language Generation | OpenReview Recently, a plethora of works have proposed inference-time algorithms (e.g. best-of-n), which incorporate verifiers to assist the generation process. Their... on the query complexity language generation verifier assisted https://openreview.net/forum?id=HSi4VetQLj Improving Uncertainty Estimation through Semantically Diverse Language Generation | OpenReview Large language models (LLMs) can suffer from hallucinations when generating text. These hallucinations impede various applications in society and industry by... language generation improving uncertainty estimation semantically https://openreview.net/forum?id=N47cSU036T Decision Making as Language Generation | OpenReview We study the challenges and benefits associated with treating decision making as pure language generation decision making as language generation openreview https://aclanthology.org/2020.coling-main.210/ Curious Case of Language Generation Evaluation Metrics: A Cautionary Tale - ACL Anthology Ozan Caglayan, Pranava Madhyastha, Lucia Specia. Proceedings of the 28th International Conference on Computational Linguistics. 2020. a cautionary tale curious case language generation evaluation metrics https://deepai.org/publication/schema-guided-natural-language-generation Schema-Guided Natural Language Generation | DeepAI May 11, 2020 - 05/11/20 - Neural network based approaches to natural language generation (NLG) have gained popularity in recent years. The goal of the task ... natural language generation schema guided deepai https://deepai.org/publication/towards-understanding-sample-variance-in-visually-grounded-language-generation-evaluations-and-observations Towards Understanding Sample Variance in Visually Grounded Language Generation: Evaluations and... Oct 7, 2020 - 10/07/20 - A major challenge in visually grounded language generation is to build robust benchmark datasets and models that can generalize we... towards understanding sample variance language generation https://deepai.org/publication/investigating-linguistic-pattern-ordering-in-hierarchical-natural-language-generation Investigating Linguistic Pattern Ordering in Hierarchical Natural Language Generation | DeepAI Sep 19, 2018 - 09/19/18 - Natural language generation (NLG) is a critical component in spoken dialogue system, which can be divided into two phases: (1) sen... natural language generation investigating linguistic pattern ordering https://www.aclweb.org/aclwiki/index.php?title=Category:Natural_Language_Generation&action=history Category:Natural Language Generation: Revision history - ACL Wiki natural language generation revision history category acl wiki https://research.google/blog/evaluating-natural-language-generation-with-bleurt/ Evaluating Natural Language Generation with BLEURT Posted by Thibault Sellam, Software Engineer and Ankur P. Parikh, Research Scientist, Google Research In the last few years, research in natural ... natural language generation evaluating https://www.uni-bamberg.de/en/ds/kontaktnavigation/contact/ Contact - Natural Language Generation and Dialogue Systems Group natural language generation dialogue systems group https://openreview.net/forum?id=TvkACqKcWs&referrer=%5Bthe%20profile%20of%20Lena%20Sophia%20Bolliger%5D(%2Fprofile%3Fid%3D~Lena_Sophia_Bolliger1) On the alignment of LM language generation and human language comprehension | OpenReview Previous research on the predictive power (PP) of surprisal and entropy has focused on determining which language models (LMs) generate estimates with the... on the language generation alignment lm https://aclanthology.org/W08-1100/ Proceedings of the Fifth International Natural Language Generation Conference - ACL Anthology Michael White, Crystal Nakatsu, David McDonald. Proceedings of the Fifth International Natural Language Generation Conference. 2008. natural language generation of the fifth international proceedings https://aclanthology.org/P05-1007/ Aggregation Improves Learning: Experiments in Natural Language Generation for Intelligent Tutoring... Barbara Di Eugenio, Davide Fossati, Dan Yu, Susan Haller, Michael Glass. Proceedings of the 43rd Annual Meeting of the Association for Computational... natural language generation aggregation improves learning experiments https://wandb.ai/fully-connected/language-generation Language Generation Articles & Tutorials by Weights & Biases language generation articles tutorials weights biases https://deepai.org/publication/the-glass-ceiling-of-automatic-evaluation-in-natural-language-generation The Glass Ceiling of Automatic Evaluation in Natural Language Generation | DeepAI Aug 31, 2022 - 08/31/22 - Automatic evaluation metrics capable of replacing human judgments are critical to allowing fast development of new methods. Thus, ... the glass ceiling natural language generation automatic https://www.uni-bamberg.de/en/ds/kontaktnavigation/legal/ Legal - Natural Language Generation and Dialogue Systems Group natural language generation dialogue systems legal group https://www.loria.fr/event/nl4xai-spring-school-analysing-neural-natural-language-generation-models/ LORIANL4XAI Spring School: Analysing Neural Natural Language Generation Models natural language generation spring school neural models https://www.uni-bamberg.de/en/ds/teaching/bachelor-seminar-dialogue-systems/ Bachelor Seminar Dialogue Systems - Natural Language Generation and Dialogue Systems Group natural language generation dialogue systems bachelor seminar group https://openreview.net/forum?id=dcEkIq7LFrn Aggregating similarity metrics for natural language generation | OpenReview This paper conducts a benchmark of most classical natural language generation metrics on a translation task. We evaluated the correlation between values of... natural language generation aggregating similarity metrics openreview https://openreview.net/forum?id=tdyLryDebq FACE: Evaluating Natural Language Generation with Fourier Analysis of Cross-Entropy | OpenReview Measuring the distance between machine-produced and human language is a critical open problem. Inspired by empirical findings from psycholinguistics on the... natural language generation https://aclanthology.org/2023.acl-srw.48/ Semantic Accuracy in Natural Language Generation: A Thesis Proposal - ACL Anthology Patricia Schmidtova. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop). 2023. natural language generation thesis proposal semantic accuracy https://www.uni-bamberg.de/en/ds/team/ultes/invited-talks/ Invited Talks - Natural Language Generation and Dialogue Systems Group natural language generation invited talks dialogue systems group https://aclanthology.org/E09-1078/ Natural Language Generation as Planning Under Uncertainty for Spoken Dialogue Systems - ACL... Verena Rieser, Oliver Lemon. Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009). 2009. natural language generation spoken dialogue systems https://techbullion.com/explainable-natural-language-generation-xnlg-models-enhancing-interpretability-and-control-in-text-generation/ Explainable Natural Language Generation (XNLG) Models: Enhancing Interpretability and Control in... Oct 8, 2024 - Abstract: The emergence of Explainable Natural Language Generation (XNLG) models represents a significant stride toward creating AI-driven text generation... natural language generation https://dcu-nlg.github.io/ DCU Natural Language Generation - DCU NLG DCU NLG is a research group within Dublin City University and the ADAPT Research Centre, located in Dublin, Ireland. We work on language generation in its... natural language generation dcu nlg https://aclanthology.org/2021.acl-long.330/ Societal Biases in Language Generation: Progress and Challenges - ACL Anthology Emily Sheng, Kai-Wei Chang, Prem Natarajan, Nanyun Peng. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th... in language generation progress societal biases challenges https://openreview.net/forum?id=0qSOodKmJaN Calibrating Sequence likelihood Improves Conditional Language Generation | OpenReview A proposed sequence likelihood calibration stage improves fine-tuned conditional language models, leading to new state-of-the-art results in abstractive... language generation calibrating sequence likelihood improves https://www.uni-bamberg.de/en/ds/transfer/meruba/ MERUBA - Natural Language Generation and Dialogue Systems Group [Translate to English:] Dies ist eine Meta-Discription natural language generation dialogue systems meruba group https://deepai.org/publication/tailoring-language-generation-models-under-total-variation-distance Tailoring Language Generation Models under Total Variation Distance | DeepAI Feb 26, 2023 - 02/26/23 - The standard paradigm of neural language generation adopts maximum likelihood estimation (MLE) as the optimizing method. From a di... total variation distance language generation tailoring models deepai https://aclanthology.org/H89-2065/ The Current Status of the Penman Language Generation System - ACL Anthology Eduard H. Hovy. Speech and Natural Language: Proceedings of a Workshop Held at Cape Cod, Massachusetts, October 15-18, 1989. 1989. the current language generation status penman system https://www.ibm.com/id-id/think/topics/natural-language-generation Apa itu Natural Language Generation (NLG)? | IBM Natural language generation (NLG) adalah penggunaan kecerdasan buatan (AI) untuk membuat output bahasa alami dari data terstruktur dan tidak terstruktur. natural language generation apa itu nlg ibm https://www.uni-bamberg.de/en/ds/team/wagner/ Nicolas Wagner - Natural Language Generation and Dialogue Systems Group natural language generation nicolas wagner dialogue systems group https://www.prnewswire.co.uk/news-releases/natural-language-generation-market-worth-8253-million-usd-by-2023-682525741.html Natural Language Generation Market Worth 825.3 Million USD by 2023 natural language generation 3 million market worth https://aclanthology.org/2022.coling-1.19/ Adaptive Natural Language Generation for Task-oriented Dialogue via Reinforcement Learning - ACL... Atsumoto Ohashi, Ryuichiro Higashinaka. Proceedings of the 29th International Conference on Computational Linguistics. 2022. natural language generation https://deepai.org/publication/challenges-in-measuring-bias-via-open-ended-language-generation Challenges in Measuring Bias via Open-Ended Language Generation | DeepAI May 23, 2022 - 05/23/22 - Researchers have devised numerous ways to quantify social biases vested in pretrained language models. As some language models are... open ended language generation challenges measuring bias https://deepai.org/publication/steering-language-generation-harnessing-contrastive-expert-guidance-and-negative-prompting-for-coherent-and-diverse-synthetic-data-generation Steering Language Generation: Harnessing Contrastive Expert Guidance and Negative Prompting for... Aug 15, 2023 - 08/15/23 - Large Language Models (LLMs) hold immense potential to generate synthetic data of high quality and utility, which has numerous app... language generation expert guidance steering harnessing contrastive https://aclanthology.org/2024.acl-short.63/ Annotating FrameNet via Structure-Conditioned Language Generation - ACL Anthology Xinyue Cui, Swabha Swayamdipta. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). 2024. language generation annotating framenet via structure https://scale.com/rlhf Quality RLHF Data For Natural Language Generation & Large Language Models | Scale AI | Scale AI Reinforcement learning with human feedback is the key to develop NLG and LLM applications like an AI text generator, AI chatbot, AI content generator, and more. natural language generation quality rlhf data https://aclanthology.org/venues/gem/ Workshop on Natural Language Generation, Evaluation, and Metrics - ACL Anthology natural language generation workshop evaluation metrics acl https://aclanthology.org/J88-3017/ Book Reviews: Natural Language Generation, New Results in Artificial Intelligence, Psychology, and... Marie Bienkowski. Computational Linguistics, Volume 14, Number 3, September 1988. 1988. natural language generation in artificial intelligence book reviews new results https://openreview.net/forum?id=rhCgizNupi Reranking Laws for Language Generation: A Communication-Theoretic Perspective | OpenReview To ensure large language models (LLMs) are used safely, one must reduce their propensity to hallucinate or to generate unacceptable answers. A simple and often... for language reranking laws generation communication https://deepai.org/publication/etc-nlg-end-to-end-topic-conditioned-natural-language-generation ETC-NLG: End-to-end Topic-Conditioned Natural Language Generation | DeepAI Aug 25, 2020 - 08/25/20 - Plug-and-play language models (PPLMs) enable topic-conditioned natural language generation by pairing large pre-trained generators... natural language generation etc nlg end topic https://www.uni-bamberg.de/en/ds/teaching/project-dialogue-systems/ Project Dialogue Systems - Natural Language Generation and Dialogue Systems Group natural language generation dialogue systems project group https://openreview.net/forum?id=8Emd6pCOBo On the Query Complexity of Verifier-Assisted Language Generation | OpenReview Recently, a plethora of works have proposed inference-time algorithms (e.g. best-of-n), which incorporate verifiers to assist the generation process. Their... on the query complexity language generation verifier assisted https://www.uni-bamberg.de/en/ds/teaching/introduction-to-dialogue-systems/ Introduction to Dialogue Systems - Natural Language Generation and Dialogue Systems Group natural language generation dialogue systems introduction group https://www.aclweb.org/aclwiki/index.php?title=Category:Natural_Language_Generation&oldid=6246 Category:Natural Language Generation - ACL Wiki natural language generation category acl wiki https://aclanthology.org/2020.findings-emnlp.115/ Language Generation via Combinatorial Constraint Satisfaction: A Tree Search Enhanced Monte-Carlo... Maosen Zhang, Nan Jiang, Lei Li, Yexiang Xue. Findings of the Association for Computational Linguistics: EMNLP 2020. 2020. language generation constraint satisfaction https://openreview.net/forum?id=80p0DzzPsx&referrer=%5Bthe%20profile%20of%20Jing%20Shi%5D(%2Fprofile%3Fid%3D~Jing_Shi1) Yo'Chameleon: Personalized Vision and Language Generation | OpenReview Large Multimodal Models (e.g., GPT-4, Gemini, Chameleon) have evolved into powerful tools with millions of users. However, they remain generic models and lack... language generation yo chameleon personalized vision https://aclanthology.org/W18-4805/ Natural Language Generation for Polysynthetic Languages: Language Teaching and Learning Software... Greg Lessard, Nathan Brinklow, Michael Levison. Proceedings of the Workshop on Computational Modeling of Polysynthetic Languages. 2018. natural language generation teaching and learning polysynthetic languages software https://www.aclweb.org/aclwiki/index.php?title=Category:Natural_Language_Generation&action=edit View source for Category:Natural Language Generation - ACL Wiki natural language generation view source category acl wiki https://www.aclweb.org/aclwiki/Natural_Language_Generation_Portal Natural Language Generation Portal - ACL Wiki natural language generation portal acl wiki https://www.jetbrains.com/help/mps/editor-language-generation-api.html Editor language generation API | MPS Documentation language generation editor api mps documentation https://aclanthology.org/P82-1028/ The Text System for Natural Language Generation: An Overview - ACL Anthology Kathleen R. McKeown. 20th Annual Meeting of the Association for Computational Linguistics. 1982. natural language generation the text system https://www.techtarget.com/searchenterpriseai/definition/natural-language-generation-NLG What is Natural Language Generation (NLG)? | Definition from TechTarget Learn how natural language generation (NLG) technology uses artificial intelligence, algorithms and other techniques to turn data into human language. natural language generation what is nlg definition techtarget https://shopify.engineering/fine-tuning-agent-shopify-flow Flow generation through natural language: An agentic modeling approach (2026) - Shopify We fine-tuned Qwen3-32B into a tool-calling agent that generates Flow automations: 2.2x faster, 68% cheaper, with a weekly retraining flywheel. natural language flow generation https://arxiv.org/abs/2307.09254 [2307.09254] Selective Generation for Controllable Language Models Abstract page for arXiv paper 2307.09254: Selective Generation for Controllable Language Models 2307 09254 selective generation controllable https://www.tableau.com/learn/series/financial-services-analytics-and-natural-language-generation Financial services analytics and natural language generation financial services natural language analytics generation https://openreview.net/forum?id=uu6Oq7MN7g&referrer=%5Bthe%20profile%20of%20Yue%20Wang%5D(%2Fprofile%3Fid%3D~Yue_Wang19) CodeT5+: Open Code Large Language Models for Code Understanding and Generation | OpenReview Large language models (LLMs) pretrained on vast source code have achieved prominent progress in code intelligence. However, existing code LLMs have two main... large language models open code https://huggingface.co/papers/2312.02980 Paper page - GPT4Point: A Unified Framework for Point-Language Understanding and Generation Join the discussion on this paper page unified framework https://openreview.net/forum?id=IZnrCGF9WI Large Language Models (LLMs) on Tabular Data: Prediction, Generation, and Understanding - A Survey... Recent breakthroughs in large language modeling have facilitated rigorous exploration of their application in diverse tasks related to tabular data modeling,... large language models https://deepai.org/publication/ernie-vilg-unified-generative-pre-training-for-bidirectional-vision-language-generation ERNIE-ViLG: Unified Generative Pre-training for Bidirectional Vision-Language Generation | DeepAI Dec 31, 2021 - 12/31/21 - Conventional methods for the image-text generation tasks mainly tackle the naturally bidirectional generation tasks separately, fo... generative pre training https://arxiv.org/abs/2502.14005 [2502.14005] Smaller But Better: Unifying Layout Generation with Smaller Large Language Models Abstract page for arXiv paper 2502.14005: Smaller But Better: Unifying Layout Generation with Smaller Large Language Models https://arxiv.org/abs/2603.16065 [2603.16065] Large Reward Models: Generalizable Online Robot Reward Generation with Vision-Language... Abstract page for arXiv paper 2603.16065: Large Reward Models: Generalizable Online Robot Reward Generation with Vision-Language Models https://www.metaengine.eu/ MetaEngine - Universal Code Generation Platform | Any Spec, Any Language Universal code generation platform. Convert OpenAPI, GraphQL, Protobuf, and SQL into production-ready code across 11 languages. MCP Server for AI assistants,... universal code generation platform spec language https://aclanthology.org/2024.findings-acl.594/ More than Minorities and Majorities: Understanding Multilateral Bias in Language Generation - ACL... Jiaxu Zhao, Zijing Shi, Yitong Li, Yulong Pei, Ling Chen, Meng Fang, Mykola Pechenizkiy. Findings of the Association for Computational Linguistics: ACL 2024.... more than https://arxiv.org/abs/2309.17446v2 [2309.17446v2] L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models Abstract page for arXiv paper 2309.17446v2: L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models https://aclanthology.org/2023.ccl-1.56/ Lexical Complexity Controlled Sentence Generation for Language Learning - ACL Anthology Jinran Nie, Liner Yang, Yun Chen, Cunliang Kong, Junhui Zhu, Erhong Yang. Proceedings of the 22nd Chinese National Conference on Computational Linguistics.... for language learning sentence generation lexical complexity controlled https://www.smartbrief.com/original/why-foreign-language-skills-matter-next-generation-workforce Why foreign-language skills matter for the next-generation workforce - SmartBrief Demand is growing for multilingual work talent. Organizations are increasingly seeking employees who can speak more than one language, according to a 2017... for the next generation why foreign language skills matter https://aclanthology.org/2025.findings-acl.730/ Imagine to Hear: Auditory Knowledge Generation can be an Effective Assistant for Language Models -... Suho Yoo, Hyunjong Ok, Jaeho Lee. Findings of the Association for Computational Linguistics: ACL 2025. 2025. https://aclanthology.org/2025.findings-naacl.207/ Thought2Text: Text Generation from EEG Signal using Large Language Models (LLMs) - ACL Anthology Abhijit Mishra, Shreya Shukla, Jose Torres, Jacek Gwizdka, Shounak Roychowdhury. Findings of the Association for Computational Linguistics: NAACL 2025. 2025. large language models https://openreview.net/forum?id=8zduZGpzZl Text-driven Prompt Generation for Vision-Language Models in Federated Learning | OpenReview Prompt learning for vision-language models, e.g., CoOp, has shown great success in adapting CLIP to different downstream tasks, making it a promising solution... vision language models https://www.kcl.ac.uk/news/kings-researcher-partners-with-ai-start-up-to-build-natural-language-generation-models King's researcher partners with AI start-up to build natural language generation models | King's... The models aim to remove 'hallucinations' from AI-generated language. https://aclanthology.org/2025.findings-acl.1337/ Text2World: Benchmarking Large Language Models for Symbolic World Model Generation - ACL Anthology Mengkang Hu, Tianxing Chen, Yude Zou, Yuheng Lei, Qiguang Chen, Ming Li, Yao Mu, Hongyuan Zhang, Wenqi Shao, Ping Luo. Findings of the Association for... large language models https://aclanthology.org/volumes/W15-47/ Proceedings of the 15th European Workshop on Natural Language Generation (ENLG) - ACL Anthology natural language generation https://www.uni-bamberg.de/en/nlproc/resources/german-affective-narrative-generation/ German Affective Narrative Generation - Fundamentals of Natural Language Processing natural language german affective narrative generation https://arxiv.org/html/2309.01431v2 Benchmarking Large Language Models in Retrieval-Augmented Generation large language models benchmarking retrieval augmented generation https://www.pbslearningmedia.org/resource/e9a3377e-ef0d-4815-8f25-166daa4d3114/can-trauma-be-passed-to-the-next-generation-through-dna/ Can Trauma Be Passed to the Next Generation Through DNA? | Grades 6-8, 9-12 English Language Arts... Learn about the genetic factors that may make a person more prone to anxiety with this video and educational resources from PBS NewsHour from August 30, 2015. https://arxiv.org/abs/2411.15898 [2411.15898] Towards the LLM-Based Generation of Formal Specifications from Natural-Language... Abstract page for arXiv paper 2411.15898: Towards the LLM-Based Generation of Formal Specifications from Natural-Language Contracts: Early Experiments with... https://www.inlg2019.com/ INLG 2019 -- 12th International Conference on Natural Language Generation The 12th International Conference on Natural Language Generation (INLG2019) will be held at the National Museum of Emerging Science and Innovation (Miraikan)... international conference natural language inlg 2019 12th https://www.securitymagazine.com/articles/87006-defining-the-next-generation-of-security-services-in-the-c-suites-language Defining the Next Generation of Security Services in the C-Suite's Language | 2016-04-01 | Security... I am the CEO of a risk, resilience and security company that is redefining the services required to provide a 360-degree view and understanding of an... https://openreview.net/forum?id=ggMyGIZG0O AutoBiasTest: Controllable Test Sentence Generation for Open-Ended Social Bias Testing in Language... Social bias in Pretrained Language Models (PLMs) affects text generation and other downstream NLP tasks. Existing bias testing methods rely predominantly on... https://deepai.org/publication/towards-unsupervised-language-understanding-and-generation-by-joint-dual-learning Towards Unsupervised Language Understanding and Generation by Joint Dual Learning | DeepAI Apr 30, 2020 - 04/30/20 - In modular dialogue systems, natural language understanding (NLU) and natural language generation (NLG) are two critical component... language understanding towards unsupervised https://arxiv.org/abs/2506.00742v1 [2506.00742v1] ArtiScene: Language-Driven Artistic 3D Scene Generation Through Image Intermediary Abstract page for arXiv paper 2506.00742v1: ArtiScene: Language-Driven Artistic 3D Scene Generation Through Image Intermediary https://arxiv.org/html/2602.10522v1 Consistency Meets Verification: Enhancing Test Generation Quality in Large Language Models Without... large language models test generation