Take a Break in the Middle: Investigating Subgoals towards Hierarchical Script Generation (2023.findings-acl)
Copied to clipboard
| Challenge: | Existing work assumes that events are sequentially arranged in a script, while this assumption leads to linear generation that is far from sufficient for comprehensively acquiring the representation about how events are organized towards a task goal. |
| Approach: | They propose to extend goal-oriented Script Generation task from the perspective of cognitive theory by incorporating subgoals into hierarchical script generation. |
| Outcome: | The proposed task is based on a new dataset and human evaluation metrics. |
Similar Papers
Hierarchical Neural Story Generation (P18-1)
Copied to clipboard
| Challenge: | a hierarchical model that generates a premise and then conditions on it creates fluent text . a novel form of model fusion improves the relevance of the story to the prompt . |
| Approach: | They use a hierarchical model that first generates a premise, then transforms it into a text . they use fusion to improve relevance of the story to the prompt and add a gated mechanism to model context . |
| Outcome: | The proposed model improves on strong baselines on automated and human evaluations. |
Benchmarking Hierarchical Script Knowledge (N19-1)
Copied to clipboard
| Challenge: | Understanding procedural language requires reasoning about hierarchical and temporal relations between events. |
| Approach: | They propose a hierarchical script learning dataset and a cloze task to match video captions with missing procedural details. |
| Outcome: | The proposed model matches video captions with missing procedural details to find out if they can understand the language. |
Incorporating Task-Specific Concept Knowledge into Script Learning (2023.eacl-main)
Copied to clipboard
| Challenge: | Existing work on Goal-Oriented Scripts ignore usage context and personal preferences . proposed tasks are restrictive and rely on overly simplified assumptions . |
| Approach: | They propose a novel approach to Goal-Oriented Script Completion that uses concept prompting and script-oriented contrastive learning to improve performance. |
| Outcome: | The proposed approach improves on a WikiHow-based dataset. |
Hierarchical Quantized Representations for Script Generation (D18-1)
Copied to clipboard
| Challenge: | Scripts define knowledge about how everyday scenarios are expected to unfold . language models tend towards local coherency, which is a major issue . |
| Approach: | They propose an autoencoder model with a latent space defined by a hierarchy of categorical variables . they use a vector quantization based approach which allows continuous embeddings to be associated with each latent variable value . |
| Outcome: | The proposed model outperforms a language modeling-based method on several tasks and lowers perplexity scores. |
EcomScriptBench: A Multi-task Benchmark for E-commerce Script Planning via Step-wise Intention-Driven Product Association (2025.acl-long)
Copied to clipboard
Weiqi Wang, Limeng Cui, Xin Liu, Sreyashi Nag, Wenju Xu, Chen Luo, Sheikh Muhammad Sarwar, Yang Li, Hansu Gu, Hui Liu, Changlong Yu, Jiaxin Bai, Yifan Gao, Haiyang Zhang, Qi He, Shuiwang Ji, Yangqiu Song
| Challenge: | Goal-oriented script planning is used by humans to plan for typical activities . however, this capability remains underexplored due to several challenges . |
| Approach: | They propose a framework that enables product-enriched scripts by associating products with each step based on the semantic similarity between the actions and their purchase intentions. |
| Outcome: | The proposed framework can generate product-enriched scripts from 2.4 million scripts . human annotations are conducted to provide gold labels for a sampled subset . |
SELFGOAL: Your Language Agents Already Know How to Achieve High-level Goals (2025.naacl-long)
Copied to clipboard
Ruihan Yang, Jiangjie Chen, Yikai Zhang, Siyu Yuan, Aili Chen, Kyle Richardson, Yanghua Xiao, Deqing Yang
| Challenge: | Existing approaches to improve the performance of language agents without training are not available. |
| Approach: | They propose an automatic approach to break down high-level goals into tree structure of more practical subgoals during interaction with environments while identifying the most useful subgoal. |
| Outcome: | The proposed approach significantly improves the performance of language agents across various tasks, including competitive, cooperative, and deferred feedback environments. |
proScript: Partially Ordered Scripts Generation (2021.findings-emnlp)
Copied to clipboard
| Challenge: | Scripts represent structured commonsense knowledge about prototypical events in everyday situations/scenarios such as bake a cake. |
| Approach: | They collect 6.4k crowdsourced partially ordered scripts and develop models that combine language generation and graph structure prediction to generate scripts. |
| Outcome: | The proposed models perform well on two tasks: edge prediction and script generation. |
SLIM: Subtrajectory-Level Elimination for More Effective Reasoning (2025.findings-emnlp)
Copied to clipboard
Xifeng Yao, Chengyuan Ma, Dongyu Lang, Yinhao Ni, Zhiwei Xu, Huarui Xie, Zihao Chen, Guang Shen, Dandan Tu, Yi Bai, Changzheng Zhang
| Challenge: | Notable examples include OpenAI’s o1/o3/o4 series and DeepSeek-R1 . |
| Approach: | They develop a framework to identify suboptimal subtrajectories based on human-established criteria . they also use a sampling algorithm to select data whose reasoning process is free from suboptimally subtravertories to the highest degree . |
| Outcome: | The proposed method reduces the number of suboptimal subtrajectories by 25.9% during the inference process. |
Efficient Strategies for Hierarchical Text Classification: External Knowledge and Auxiliary Tasks (2020.acl-main)
Copied to clipboard
| Challenge: | Hierarchical text classification is a complex task that requires extended training time and a large number of parameters. |
| Approach: | They propose a top-up-classification task using dictionaries and auxiliary task from external dictionary definitions. |
| Outcome: | The proposed method outperforms previous studies using a reduced number of parameters in two well-known English datasets. |
Show Me More Details: Discovering Hierarchies of Procedures from Semi-structured Web Data (2022.acl-long)
Copied to clipboard
| Challenge: | Existing work has treated procedures as shallow structures without modeling the parent-child relation. |
| Approach: | They propose to construct an open-domain hierarchical knowledge-base (KB) of procedures based on wikiHow . they link steps in an article to other articles with similar goals, recursively building the KB . |
| Outcome: | The proposed method significantly outperforms baselines according to automatic evaluation, human judgment, and application to downstream tasks such as instructional video retrieval. |