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Papers
Over-Generation and Compaction: A Prompting Strategy for Procedural Text Adaptation with Large Language Models
EMNLP 2025
Predicting Implicit Arguments in Procedural Video Instructions
ACL 2025
Unveiling Cultural Blind Spots: Analyzing the Limitations of mLLMs in Procedural Text Comprehension
ACL 2025
Graph Guided Question Answer Generation for Procedural Question-Answering
EACL 2024
Grounded Multimodal Procedural Entity Recognition for Procedural Documents: A New Dataset and Baseline
COLING 2024
PARADISE: Evaluating Implicit Planning Skills of Language Models with Procedural Warnings and Tips Dataset
ACL 2024
PizzaCommonSense: A Dataset for Commonsense Reasoning about Intermediate Steps in Cooking Recipes
EMNLP 2024
PROC2PDDL: Open-Domain Planning Representations from Texts
ACL 2024
Causal Reasoning of Entities and Events in Procedural Texts
EACL 2023
CLMSM: A Multi-Task Learning Framework for Pre-training on Procedural Text
EMNLP 2023
Event Semantic Knowledge in Procedural Text Understanding
ACL 2023
Recipe2Video: Synthesizing Personalized Videos From Recipe Texts
WACV 2023
The Coreference under Transformation Labeling Dataset: Entity Tracking in Procedural Texts Using Event Models
ACL 2023
Towards Flow Graph Prediction of Open-Domain Procedural Texts
ACL 2023
Baked-in State Probing
EMNLP 2022
Life is a Circus and We are the Clowns: Automatically Finding Analogies between Situations and Processes
EMNLP 2022
Relevant CommonSense Subgraphs for “What if...” Procedural Reasoning
ACL 2022
Summarizing Procedural Text: Data and Approach
EMNLP 2022
SynKB: Semantic Search for Synthetic Procedures
EMNLP 2022
What does it take to bake a cake? The RecipeRef corpus and anaphora resolution in procedural text
ACL 2022
Time-Stamped Language Model: Teaching Language Models to Understand The Flow of Events
NAACL 2021
A Dataset for Tracking Entities in Open Domain Procedural Text
EMNLP 2020
Recipe Instruction Semantics Corpus (RISeC): Resolving Semantic Structure and Zero Anaphora in Recipes
AACL 2020
Understanding Procedural Text using Interactive Entity Networks
EMNLP 2020
What-if I ask you to explain: Explaining the effects of perturbations in procedural text
EMNLP 2020