{"total":177,"rows":[{"id":"1909.08593","title":"Fine-Tuning Language Models from Human Preferences","created":"2019-09-18","cited_by_count":2150,"area":"alignment"},{"id":"2106.11520","title":"BARTScore: Evaluating Generated Text as Text Generation","created":"2021-06-22","cited_by_count":722,"area":null},{"id":"2104.05218","title":"FUDGE: Controlled Text Generation With Future Discriminators","created":"2021-04-12","cited_by_count":376,"area":null},{"id":"2104.02112","title":"Efficient Attentions for Long Document Summarization","created":"2021-04-05","cited_by_count":345,"area":null},{"id":"2104.13346","title":"Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics","created":"2021-04-27","cited_by_count":287,"area":null},{"id":"2105.06762","title":"DialogSum: A Real-Life Scenario Dialogue Summarization Dataset","created":"2021-05-14","cited_by_count":183,"area":null},{"id":"2202.06935","title":"Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text","created":"2022-02-14","cited_by_count":155,"area":null},{"id":"2205.12854","title":"Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors","created":"2022-05-25","cited_by_count":104,"area":null},{"id":"2403.02901","title":"A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methods","created":"2024-03-05","cited_by_count":102,"area":null},{"id":"2104.07091","title":"SummScreen: A Dataset for Abstractive Screenplay Summarization","created":"2021-04-14","cited_by_count":79,"area":null},{"id":"2305.13412","title":"Element-aware Summarization with Large Language Models: Expert-aligned Evaluation and Chain-of-Thought Method","created":"2023-05-22","cited_by_count":76,"area":"lr"},{"id":"2207.00939","title":"An Empirical Survey on Long Document Summarization: Datasets, Models and Metrics","created":"2022-07-03","cited_by_count":74,"area":null},{"id":"2110.10150","title":"Summ^N: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents","created":"2021-10-16","cited_by_count":65,"area":null},{"id":"2102.00176","title":"Can We Automate Scientific Reviewing?","created":"2021-01-30","cited_by_count":63,"area":null},{"id":"2110.08499","title":"PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization","created":"2021-10-16","cited_by_count":62,"area":null},{"id":"2403.17104","title":"Attribute First, then Generate: Locally-attributable Grounded Text Generation","created":"2024-03-25","cited_by_count":54,"area":null},{"id":"2406.11289","title":"A Systematic Survey of Text Summarization: From Statistical Methods to Large Language Models","created":"2024-06-17","cited_by_count":52,"area":null},{"id":"2103.11332","title":"AdaptSum: Towards Low-Resource Domain Adaptation for Abstractive Summarization","created":"2021-03-21","cited_by_count":51,"area":null},{"id":"2105.03664","title":"D2S: Document-to-Slide Generation Via Query-Based Text Summarization","created":"2021-05-08","cited_by_count":50,"area":null},{"id":"2207.00397","title":"Conditional Generation with a Question-Answering Blueprint","created":"2022-07-01","cited_by_count":44,"area":null},{"id":"2211.15914","title":"Prompted Opinion Summarization with GPT-3.5","created":"2022-11-29","cited_by_count":44,"area":null},{"id":"2203.07586","title":"Long Document Summarization with Top-down and Bottom-up Inference","created":"2022-03-15","cited_by_count":42,"area":null},{"id":"2108.12463","title":"Automatic Text Evaluation through the Lens of Wasserstein Barycenters","created":"2021-08-27","cited_by_count":38,"area":null},{"id":"2202.00132","title":"Submodularity In Machine Learning and Artificial Intelligence","created":"2022-01-31","cited_by_count":38,"area":null},{"id":"2210.12378","title":"Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling","created":"2022-10-22","cited_by_count":38,"area":null},{"id":"2108.13134","title":"Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation","created":"2021-08-30","cited_by_count":37,"area":null},{"id":"2205.06457","title":"ViT5: Pretrained Text-to-Text Transformer for Vietnamese Language Generation","created":"2022-05-13","cited_by_count":37,"area":null},{"id":"2109.13070","title":"Controllable Neural Dialogue Summarization with Personal Named Entity Planning","created":"2021-09-27","cited_by_count":36,"area":null},{"id":"2105.00816","title":"What's in a Summary? Laying the Groundwork for Advances in Hospital-Course Summarization","created":"2021-04-12","cited_by_count":35,"area":null},{"id":"2112.01589","title":"InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation","created":"2021-12-02","cited_by_count":33,"area":null},{"id":"2112.04139","title":"Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand","created":"2021-12-08","cited_by_count":32,"area":null},{"id":"2209.03549","title":"Extractive is not Faithful: An Investigation of Broad Unfaithfulness Problems in Extractive Summarization","created":"2022-09-08","cited_by_count":32,"area":null},{"id":"2109.03481","title":"Sequence Level Contrastive Learning for Text Summarization","created":"2021-09-08","cited_by_count":31,"area":null},{"id":"2105.11921","title":"Focus Attention: Promoting Faithfulness and Diversity in Summarization","created":"2021-05-25","cited_by_count":30,"area":null},{"id":"2301.12307","title":"MQAG: Multiple-choice Question Answering and Generation for Assessing Information Consistency in Summarization","created":"2023-01-28","cited_by_count":30,"area":null},{"id":"2105.05361","title":"The Summary Loop: Learning to Write Abstractive Summaries Without Examples","created":"2021-05-11","cited_by_count":27,"area":null},{"id":"2105.14064","title":"Controllable Abstractive Dialogue Summarization with Sketch Supervision","created":"2021-05-28","cited_by_count":27,"area":null},{"id":"2203.09176","title":"ODE Transformer: An Ordinary Differential Equation-Inspired Model for Sequence Generation","created":"2022-03-17","cited_by_count":27,"area":null},{"id":"2210.01877","title":"Towards Improving Faithfulness in Abstractive Summarization","created":"2022-10-04","cited_by_count":27,"area":null},{"id":"2204.09890","title":"Spurious Correlations in Reference-Free Evaluation of Text Generation","created":"2022-04-21","cited_by_count":26,"area":null},{"id":"2104.07210","title":"RefSum: Refactoring Neural Summarization","created":"2021-04-15","cited_by_count":25,"area":null},{"id":"2109.04325","title":"Learning Opinion Summarizers by Selecting Informative Reviews","created":"2021-09-09","cited_by_count":25,"area":null},{"id":"2103.00751","title":"Long Document Summarization in a Low Resource Setting using Pretrained Language Models","created":"2021-03-01","cited_by_count":24,"area":null},{"id":"2105.03801","title":"Long-Span Summarization via Local Attention and Content Selection","created":"2021-05-08","cited_by_count":24,"area":null},{"id":"2109.04994","title":"Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization","created":"2021-09-10","cited_by_count":23,"area":null},{"id":"2402.17630","title":"Fine-Grained Natural Language Inference Based Faithfulness Evaluation for Diverse Summarisation Tasks","created":"2024-02-27","cited_by_count":23,"area":null},{"id":"2105.12041","title":"BASS: Boosting Abstractive Summarization with Unified Semantic Graph","created":"2021-05-25","cited_by_count":21,"area":null},{"id":"2109.10616","title":"Enriching and Controlling Global Semantics for Text Summarization","created":"2021-09-22","cited_by_count":20,"area":null},{"id":"2204.13761","title":"Faithful to the Document or to the World? Mitigating Hallucinations via Entity-linked Knowledge in Abstractive Summarization","created":"2022-04-28","cited_by_count":20,"area":null},{"id":"2110.11207","title":"Topic-Guided Abstractive Multi-Document Summarization","created":"2021-10-21","cited_by_count":19,"area":null},{"id":"2103.01863","title":"Data Augmentation for Abstractive Query-Focused Multi-Document Summarization","created":"2021-03-02","cited_by_count":18,"area":null},{"id":"2105.09601","title":"See, Hear, Read: Leveraging Multimodality with Guided Attention for Abstractive Text Summarization","created":"2021-05-20","cited_by_count":18,"area":null},{"id":"2106.09069","title":"Automatic Construction of Evaluation Suites for Natural Language Generation Datasets","created":"2021-06-16","cited_by_count":18,"area":null},{"id":"2212.10179","title":"Toward Human-Like Evaluation for Natural Language Generation with Error Analysis","created":"2022-12-20","cited_by_count":18,"area":null},{"id":"2103.12711","title":"A Pseudo-Metric between Probability Distributions based on Depth-Trimmed Regions","created":"2021-03-23","cited_by_count":17,"area":null},{"id":"2108.03405","title":"Controllable Summarization with Constrained Markov Decision Process","created":"2021-08-07","cited_by_count":17,"area":null},{"id":"2201.05222","title":"Assemble Foundation Models for Automatic Code Summarization","created":"2022-01-13","cited_by_count":17,"area":null},{"id":"2202.13756","title":"Data-to-text Generation with Variational Sequential Planning","created":"2022-02-28","cited_by_count":17,"area":null},{"id":"2106.11388","title":"How well do you know your summarization datasets?","created":"2021-06-21","cited_by_count":16,"area":null},{"id":"2108.02859","title":"Evaluating the Tradeoff Between Abstractiveness and Factuality in Abstractive Summarization","created":"2021-08-05","cited_by_count":16,"area":null},{"id":"2302.04580","title":"Generating a Structured Summary of Numerous Academic Papers: Dataset and Method","created":"2023-02-09","cited_by_count":16,"area":null},{"id":"2305.08566","title":"NLG Evaluation Metrics Beyond Correlation Analysis: An Empirical Metric Preference Checklist","created":"2023-05-15","cited_by_count":16,"area":null},{"id":"2105.12969","title":"Improve Query Focused Abstractive Summarization by Incorporating Answer Relevance","created":"2021-05-27","cited_by_count":15,"area":null},{"id":"2109.05160","title":"StreamHover: Livestream Transcript Summarization and Annotation","created":"2021-09-11","cited_by_count":15,"area":null},{"id":"2102.07919","title":"User-Inspired Posterior Network for Recommendation Reason Generation","created":"2021-02-16","cited_by_count":14,"area":null},{"id":"2102.09397","title":"Meta-Transfer Learning for Low-Resource Abstractive Summarization","created":"2021-02-18","cited_by_count":14,"area":null},{"id":"2104.12324","title":"A Sliding-Window Approach to Automatic Creation of Meeting Minutes","created":"2021-04-26","cited_by_count":14,"area":null},{"id":"2112.08770","title":"Proposition-Level Clustering for Multi-Document Summarization","created":"2021-12-16","cited_by_count":14,"area":null},{"id":"2209.00930","title":"Mind the Gap! Injecting Commonsense Knowledge for Abstractive Dialogue Summarization","created":"2022-09-02","cited_by_count":14,"area":null},{"id":"2209.10492","title":"Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees","created":"2022-09-21","cited_by_count":14,"area":null},{"id":"2210.12330","title":"Salience Allocation as Guidance for Abstractive Summarization","created":"2022-10-22","cited_by_count":14,"area":null},{"id":"2104.01726","title":"A New Approach to Overgenerating and Scoring Abstractive Summaries","created":"2021-04-05","cited_by_count":13,"area":null},{"id":"2205.01889","title":"Improving Multi-Document Summarization through Referenced Flexible Extraction with Credit-Awareness","created":"2022-05-04","cited_by_count":13,"area":null},{"id":"2205.14522","title":"A Character-Level Length-Control Algorithm for Non-Autoregressive Sentence Summarization","created":"2022-05-28","cited_by_count":13,"area":null},{"id":"2211.06196","title":"Improving Factual Consistency in Summarization with Compression-Based Post-Editing","created":"2022-11-11","cited_by_count":13,"area":null},{"id":"2210.04829","title":"Hierarchical3D Adapters for Long Video-to-text Summarization","created":"2022-10-10","cited_by_count":12,"area":null},{"id":"2502.14613","title":"Behavioral Analysis of Information Salience in Large Language Models","created":"2025-02-20","cited_by_count":12,"area":null},{"id":"2110.01839","title":"Truth-Conditional Captioning of Time Series Data","created":"2021-10-05","cited_by_count":11,"area":null},{"id":"2206.00856","title":"MentSum: A Resource for Exploring Summarization of Mental Health Online Posts","created":"2022-06-02","cited_by_count":11,"area":null},{"id":"2110.01159","title":"TLDR9+: A Large Scale Resource for Extreme Summarization of Social Media Posts","created":"2021-10-04","cited_by_count":10,"area":null},{"id":"2210.13449","title":"Controlled Text Reduction","created":"2022-10-24","cited_by_count":10,"area":null},{"id":"2304.07840","title":"Enhancing Automated Program Repair through Fine-tuning and Prompt Engineering","created":"2023-04-16","cited_by_count":10,"area":null},{"id":"2404.03561","title":"Select and Summarize: Scene Saliency for Movie Script Summarization","created":"2024-04-04","cited_by_count":10,"area":null},{"id":"2104.02205","title":"Attention Head Masking for Inference Time Content Selection in Abstractive Summarization","created":"2021-04-06","cited_by_count":9,"area":null},{"id":"2111.10770","title":"Efficient Softmax Approximation for Deep Neural Networks with Attention Mechanism","created":"2021-11-21","cited_by_count":9,"area":null},{"id":"2301.11682","title":"Towards Personalized Review Summarization by Modeling Historical Reviews from Customer and Product Separately","created":"2023-01-27","cited_by_count":9,"area":null},{"id":"2305.13086","title":"LMGQS: A Large-scale Dataset for Query-focused Summarization","created":"2023-05-22","cited_by_count":9,"area":null},{"id":"2410.04087","title":"GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News Summarization","created":"2024-10-05","cited_by_count":9,"area":null},{"id":"2102.00385","title":"Contextualized Rewriting for Text Summarization","created":"2021-01-31","cited_by_count":8,"area":null},{"id":"2106.00104","title":"Text Summarization with Latent Queries","created":"2021-05-31","cited_by_count":8,"area":null},{"id":"2112.07660","title":"Massive-scale Decoding for Text Generation using Lattices","created":"2021-12-14","cited_by_count":8,"area":null},{"id":"2203.11425","title":"Towards Abstractive Grounded Summarization of Podcast Transcripts","created":"2022-03-22","cited_by_count":8,"area":null},{"id":"2209.14569","title":"COLO: A Contrastive Learning based Re-ranking Framework for One-Stage Summarization","created":"2022-09-29","cited_by_count":8,"area":null},{"id":"2101.11298","title":"How to Evaluate a Summarizer: Study Design and Statistical Analysis for Manual Linguistic Quality Evaluation","created":"2021-01-27","cited_by_count":7,"area":null},{"id":"2112.08592","title":"Idiomatic Expression Paraphrasing without Strong Supervision","created":"2021-12-16","cited_by_count":7,"area":null},{"id":"2206.09337","title":"Learning Multiscale Transformer Models for Sequence Generation","created":"2022-06-19","cited_by_count":7,"area":null},{"id":"2306.13968","title":"Fusing Multimodal Signals on Hyper-complex Space for Extreme Abstractive Text Summarization (TL;DR) of Scientific Contents","created":"2023-06-24","cited_by_count":7,"area":null},{"id":"2108.12738","title":"SummerTime: Text Summarization Toolkit for Non-experts","created":"2021-08-29","cited_by_count":6,"area":null},{"id":"2211.12118","title":"HaRiM$^+$: Evaluating Summary Quality with Hallucination Risk","created":"2022-11-22","cited_by_count":6,"area":null},{"id":"2301.00867","title":"Follow the Timeline! Generating Abstractive and Extractive Timeline Summary in Chronological Order","created":"2023-01-02","cited_by_count":6,"area":null}],"next_cursor":"100"}