{"total":26,"rows":[{"id":"2105.08209","title":"BookSum: A Collection of Datasets for Long-form Narrative Summarization","created":"2021-05-18","cited_by_count":184,"area":null},{"id":"2104.01111","title":"A Comprehensive Survey of Scene Graphs: Generation and Application","created":"2021-03-17","cited_by_count":125,"area":null},{"id":"2105.08963","title":"Long Text Generation by Modeling Sentence-Level and Discourse-Level Coherence","created":"2021-05-19","cited_by_count":45,"area":null},{"id":"2402.01512","title":"Distractor Generation in Multiple-Choice Tasks: A Survey of Methods, Datasets, and Evaluation","created":"2024-02-02","cited_by_count":25,"area":null},{"id":"2107.00110","title":"Classical Planning in Deep Latent Space","created":"2021-06-30","cited_by_count":22,"area":null},{"id":"2111.11029","title":"Auto-Encoding Score Distribution Regression for Action Quality Assessment","created":"2021-11-22","cited_by_count":18,"area":null},{"id":"2110.05999","title":"DiscoDVT: Generating Long Text with Discourse-Aware Discrete Variational Transformer","created":"2021-10-12","cited_by_count":14,"area":null},{"id":"2312.10332","title":"ProTIP: Progressive Tool Retrieval Improves Planning","created":"2023-12-16","cited_by_count":12,"area":null},{"id":"2106.16091","title":"Exploring the Latent Space of Autoencoders with Interventional Assays","created":"2021-06-30","cited_by_count":10,"area":null},{"id":"2110.11298","title":"Video and Text Matching with Conditioned Embeddings","created":"2021-10-21","cited_by_count":10,"area":null},{"id":"2208.13423","title":"StoryTrans: Non-Parallel Story Author-Style Transfer with Discourse Representations and Content Enhancing","created":"2022-08-29","cited_by_count":8,"area":null},{"id":"2205.13346","title":"Keywords and Instances: A Hierarchical Contrastive Learning Framework Unifying Hybrid Granularities for Text Generation","created":"2022-05-26","cited_by_count":7,"area":null},{"id":"2208.03985","title":"Generating Coherent Narratives by Learning Dynamic and Discrete Entity States with a Contrastive Framework","created":"2022-08-08","cited_by_count":6,"area":null},{"id":"2505.06549","title":"Good Things Come in Pairs: Paired Autoencoders for Inverse Problems","created":"2025-05-10","cited_by_count":5,"area":null},{"id":"2103.05131","title":"Few-Shot Learning of an Interleaved Text Summarization Model by Pretraining with Synthetic Data","created":"2021-03-08","cited_by_count":4,"area":null},{"id":"2108.07129","title":"Autoencoders as Tools for Program Synthesis","created":"2021-08-16","cited_by_count":4,"area":null},{"id":"2205.02724","title":"Implicit N-grams Induced by Recurrence","created":"2022-05-05","cited_by_count":4,"area":null},{"id":"2404.08164","title":"Language Model Prompt Selection via Simulation Optimization","created":"2024-04-12","cited_by_count":3,"area":null},{"id":"2104.12722","title":"Dominant motion identification of multi-particle system using deep learning from video","created":"2021-04-26","cited_by_count":1,"area":null},{"id":"2209.05929","title":"Document-aware Positional Encoding and Linguistic-guided Encoding for Abstractive Multi-document Summarization","created":"2022-09-13","cited_by_count":1,"area":null},{"id":"2504.06275","title":"A Cascaded Architecture for Extractive Summarization of Multimedia Content via Audio-to-Text Alignment","created":"2025-03-06","cited_by_count":1,"area":null},{"id":"2108.07081","title":"Toward the Understanding of Deep Text Matching Models for Information Retrieval","created":"2021-08-16","cited_by_count":0,"area":null},{"id":"2210.09559","title":"Unsupervised Inference of Data-Driven Discourse Structures using a Tree Auto-Encoder","created":"2022-10-18","cited_by_count":0,"area":null},{"id":"2307.11785","title":"Adversarial Conversational Shaping for Intelligent Agents","created":"2023-07-20","cited_by_count":0,"area":null},{"id":"2310.13106","title":"Unsupervised Candidate Answer Extraction through Differentiable Masker-Reconstructor Model","created":"2023-10-19","cited_by_count":0,"area":null},{"id":"2505.02850","title":"Harnessing Structured Knowledge: A Concept Map-Based Approach for High-Quality Multiple Choice Question Generation with Effective Distractors","created":"2025-05-02","cited_by_count":0,"area":null}],"next_cursor":null}