:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Mita, Masato, Murakami, Soichiro, Kato, Akihiko, Zhang, Peinan
Formato:	Preprint
Publicado:	2023
Materias:	Computation and Language
Acceso en línea:	https://arxiv.org/abs/2309.12030
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

FaithCAMERA: Construction of a Faithful Dataset for Ad Text Generation
por: Kato, Akihiko, et al.
Publicado: (2024)

AdTEC: A Unified Benchmark for Evaluating Text Quality in Search Engine Advertising
por: Zhang, Peinan, et al.
Publicado: (2024)

Cross-lingual Transfer or Machine Translation? On Data Augmentation for Monolingual Semantic Textual Similarity
por: Hoshino, Sho, et al.
Publicado: (2024)

Exploring the Relationship Between Diversity and Quality in Ad Text Generation
por: Aoki, Yoichi, et al.
Publicado: (2025)

AdParaphrase: Paraphrase Dataset for Analyzing Linguistic Features toward Generating Attractive Ad Texts
por: Murakami, Soichiro, et al.
Publicado: (2025)

AdParaphrase v2.0: Generating Attractive Ad Texts Using a Preference-Annotated Paraphrase Dataset
por: Murakami, Soichiro, et al.
Publicado: (2025)

Distilling Many-Shot In-Context Learning into a Cheat Sheet
por: Honda, Ukyo, et al.
Publicado: (2025)

LCTG Bench: LLM Controlled Text Generation Benchmark
por: Kurihara, Kentaro, et al.
Publicado: (2025)

Not Eliminate but Aggregate: Post-Hoc Control over Mixture-of-Experts to Address Shortcut Shifts in Natural Language Understanding
por: Honda, Ukyo, et al.
Publicado: (2024)

Routing by Analogy: kNN-Augmented Expert Assignment for Mixture-of-Experts
por: Lyu, Boxuan, et al.
Publicado: (2026)

Out-of-the-Box Conditional Text Embeddings from Large Language Models
por: Yamada, Kosuke, et al.
Publicado: (2025)

Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding
por: Jinnai, Yuu, et al.
Publicado: (2024)

Design Your Ad: Personalized Advertising Image and Text Generation with Unified Autoregressive Models
por: Xu, Yexing, et al.
Publicado: (2026)

Large Language Models Are State-of-the-Art Evaluator for Grammatical Error Correction
por: Kobayashi, Masamune, et al.
Publicado: (2024)

Developmentally-plausible Working Memory Shapes a Critical Period for Language Acquisition
por: Mita, Masato, et al.
Publicado: (2025)

Revisiting Meta-evaluation for Grammatical Error Correction
por: Kobayashi, Masamune, et al.
Publicado: (2024)

GAIN: A Benchmark for Goal-Aligned Decision-Making of Large Language Models under Imperfect Norms
por: Kawarada, Masayuki, et al.
Publicado: (2026)

Language Acquisition Device in Large Language Models
por: Mita, Masato, et al.
Publicado: (2026)

Does Self-Consistency Improve the Recall of Encyclopedic Knowledge?
por: Hoshino, Sho, et al.
Publicado: (2026)

Exploring the Effects of Alignment on Numerical Bias in Large Language Models
por: Sato, Ayako, et al.
Publicado: (2026)

Human Feedback is not Gold Standard
por: Hosking, Tom, et al.
Publicado: (2023)

Who Laughs with Whom? Disentangling Influential Factors in Humor Preferences across User Clusters and LLMs
por: Murakami, Soichiro, et al.
Publicado: (2026)

Oogiri-Master: Benchmarking Humor Understanding via Oogiri
por: Murakami, Soichiro, et al.
Publicado: (2025)

PheMT: A Phenomenon-wise Dataset for Machine Translation Robustness on User-Generated Contents
por: Fujii, Ryo, et al.
Publicado: (2020)

Benchmarking LLMs' Judgments with No Gold Standard
por: Xu, Shengwei, et al.
Publicado: (2024)

Beyond Gold Standards: Epistemic Ensemble of LLM Judges for Formal Mathematical Reasoning
por: Zhang, Lan, et al.
Publicado: (2025)

Multilingual Controlled Generation And Gold-Standard-Agnostic Evaluation of Code-Mixed Sentences
por: Gupta, Ayushman, et al.
Publicado: (2024)

Persian Abstract Meaning Representation: Annotation Guidelines and Gold Standard Dataset
por: Takhshid, Reza, et al.
Publicado: (2022)

JSTR: Judgment Improves Scene Text Recognition
por: Fujitake, Masato
Publicado: (2024)

GPT-4o as the Gold Standard: A Scalable and General Purpose Approach to Filter Language Model Pretraining Data
por: Zhang, Jifan, et al.
Publicado: (2024)

Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark
por: Mayhew, Stephen, et al.
Publicado: (2023)

Exploration of Masked and Causal Language Modelling for Text Generation
por: Micheletti, Nicolo, et al.
Publicado: (2024)

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models
por: Huo, Yifu, et al.
Publicado: (2026)

Systematic Task Exploration with LLMs: A Study in Citation Text Generation
por: Şahinuç, Furkan, et al.
Publicado: (2024)

Generative AI Advertising as a Problem of Trustworthy Commercial Intervention
por: Qiu, Jingyi, et al.
Publicado: (2026)

Are Lexicon-Based Tools Still the Gold Standard for Valence Analysis in Low-Resource Flemish?
por: Kandala, Ratna, et al.
Publicado: (2025)

Measuring and Reducing LLM Hallucination without Gold-Standard Answers
por: Wei, Jiaheng, et al.
Publicado: (2024)

WikiNER-fr-gold: A Gold-Standard NER Corpus
por: Cao, Danrun, et al.
Publicado: (2024)

MCQA-Eval: Efficient Confidence Evaluation in NLG with Gold-Standard Correctness Labels
por: Liu, Xiaoou, et al.
Publicado: (2025)

Machine Generated Product Advertisements: Benchmarking LLMs Against Human Performance
por: Ghosh, Sanjukta
Publicado: (2024)