Imagen de Portada

PizzaCommonSense: Learning to Model Commonsense Reasoning about Intermediate Steps in Cooking Recipes

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Diallo, Aissatou, Bikakis, Antonis, Dickens, Luke, Hunter, Anthony, Miller, Rob
Formato:	Preprint
Publicado:	2024
Materias:	Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

RESPONSE: Benchmarking the Ability of Language Models to Undertake Commonsense Reasoning in Crisis Situation
por: Diallo, Aissatou, et al.
Publicado: (2025)

Unsupervised Learning of Graph from Recipes
por: Diallo, Aissatou, et al.
Publicado: (2024)

Rule-Guided Feedback: Enhancing Reasoning by Enforcing Rule Adherence in Large Language Models
por: Diallo, Aissatou, et al.
Publicado: (2025)

IAO Prompting: Making Knowledge Flow Explicit in LLMs through Structured Reasoning Templates
por: Diallo, Aissatou, et al.
Publicado: (2025)

Recipe Generation from Unsegmented Cooking Videos
por: Nishimura, Taichi, et al.
Publicado: (2022)

CommonWhy: A Dataset for Evaluating Entity-Based Causal Commonsense Reasoning in Large Language Models
por: Toroghi, Armin, et al.
Publicado: (2026)

On Recipe Memorization and Creativity in Large Language Models: Is Your Model a Creative Cook, a Bad Cook, or Merely a Plagiator?
por: Kvapil, Jan, et al.
Publicado: (2025)

Modelling Commonsense Commonalities with Multi-Facet Concept Embeddings
por: Kteich, Hanane, et al.
Publicado: (2024)

Losses that Cook: Topological Optimal Transport for Structured Recipe Generation
por: Ottoborgo, Mattia, et al.
Publicado: (2026)

Commonsense Reasoning in Arab Culture
por: Sadallah, Abdelrahman, et al.
Publicado: (2025)

Crossing Boundaries: Leveraging Semantic Divergences to Explore Cultural Novelty in Cooking Recipes
por: Carichon, Florian, et al.
Publicado: (2025)

Common to Whom? Regional Cultural Commonsense and LLM Bias in India
por: Madhusudan, Sangmitra, et al.
Publicado: (2026)

DataChef: Cooking Up Optimal Data Recipes for LLM Adaptation via Reinforcement Learning
por: Chen, Yicheng, et al.
Publicado: (2026)

Transformer See, Transformer Do: Copying as an Intermediate Step in Learning Analogical Reasoning
por: Hellwig, Philipp, et al.
Publicado: (2026)

Synthetic Data Generation for Training Diversified Commonsense Reasoning Models
por: Zhang, Tianhui, et al.
Publicado: (2026)

Measuring Error Alignment for Decision-Making Systems
por: Xu, Binxia, et al.
Publicado: (2024)

Common Sense Reasoning for Deepfake Detection
por: Zhang, Yue, et al.
Publicado: (2024)

Leveraging Explicit Reasoning for Inference Integration in Commonsense-Augmented Dialogue Models
por: Finch, Sarah E., et al.
Publicado: (2024)

An Interdisciplinary Review of Commonsense Reasoning and Intent Detection
por: Sakib, Md Nazmus
Publicado: (2025)

ConvoSense: Overcoming Monotonous Commonsense Inferences for Conversational AI
por: Finch, Sarah E., et al.
Publicado: (2024)

ACORN: Aspect-wise Commonsense Reasoning Explanation Evaluation
por: Brassard, Ana, et al.
Publicado: (2024)

Can Large Language Models Reason about the Region Connection Calculus?
por: Cohn, Anthony G, et al.
Publicado: (2024)

Evaluating the Ability of Large Language Models to Reason about Cardinal Directions
por: Cohn, Anthony G, et al.
Publicado: (2024)

Step Potential Advantage Estimation: Harnessing Intermediate Confidence and Correctness for Efficient Mathematical Reasoning
por: Wu, Fei, et al.
Publicado: (2026)

Doing Good or Doing Right? Exploring the Weakness of Commonsense Causal Reasoning Models
por: Han, Mingyue, et al.
Publicado: (2021)

Sinhala Physical Common Sense Reasoning Dataset for Global PIQA
por: de Silva, Nisansa, et al.
Publicado: (2026)

What the HellaSwag? On the Validity of Common-Sense Reasoning Benchmarks
por: Chizhov, Pavel, et al.
Publicado: (2025)

MetaXCR: Reinforcement-Based Meta-Transfer Learning for Cross-Lingual Commonsense Reasoning
por: He, Jie, et al.
Publicado: (2025)

Evaluating the Ability of Large Language Models to Reason about Cardinal Directions, Revisited
por: Cohn, Anthony G, et al.
Publicado: (2025)

Detecting Emotional Incongruity of Sarcasm by Commonsense Reasoning
por: Qiu, Ziqi, et al.
Publicado: (2024)

SCoRE: Benchmarking Long-Chain Reasoning in Commonsense Scenarios
por: Zhan, Weidong, et al.
Publicado: (2025)

Thai Winograd Schemas: A Benchmark for Thai Commonsense Reasoning
por: Artkaew, Phakphum
Publicado: (2024)

The Box is in the Pen: Evaluating Commonsense Reasoning in Neural Machine Translation
por: He, Jie, et al.
Publicado: (2025)

The Mystery of Compositional Generalization in Graph-based Generative Commonsense Reasoning
por: Fu, Xiyan, et al.
Publicado: (2024)

First-Step Advantage: Importance of Starting Right in Multi-Step Math Reasoning
por: Jain, Kushal, et al.
Publicado: (2023)

Teaching Thinking Models to Reason with Tools: A Full-Pipeline Recipe for Tool-Integrated Reasoning
por: Cheng, Qianjia, et al.
Publicado: (2026)

CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense Reasoning
por: Wang, Weiqi, et al.
Publicado: (2024)

ConKE: Conceptualization-Augmented Knowledge Editing in Large Language Models for Commonsense Reasoning
por: Zhang, Liyu, et al.
Publicado: (2024)

Plausibility as Commonsense Reasoning: Humans Succeed, Large Language Models Do not
por: Karakaş, Sercan
Publicado: (2026)

BrainBench: Exposing the Commonsense Reasoning Gap in Large Language Models
por: Tang, Yuzhe
Publicado: (2026)