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Papers
Not all Hallucinations are Good to Throw Away When it Comes to Legal Abstractive Summarization
NAACL 2025
Not Lost After All: How Cross-Encoder Attribution Challenges Position Bias Assumptions in LLM Summarization
EMNLP 2025
Pick and Summarize: Integrating Extractive and Abstractive Speech Summarization
Interspeech 2025
Plutus: Benchmarking Large Language Models in Low-Resource Greek Finance
EMNLP 2025
QUARTZ: QA-based Unsupervised Abstractive Refinement for Task-oriented Dialogue Summarization
EMNLP 2025
RainCityNLP at BioLaySumm2025: Extract then Summarize at Home
ACL 2025
SARA: Salience-Aware Reinforced Adaptive Decoding for Large Language Models in Abstractive Summarization
ACL 2025
Spot the BlindSpots: Systematic Identification and Quantification of Fine-Grained LLM Biases in Contact Center Call Summarization
EMNLP 2025
Structure-Aware Chunking for Abstractive Summarization of Long Legal Documents
AACL 2025
TLPIQ at BioLaySumm: Hide and Seq, a FLAN-T5 Model for Biomedical Summarization
ACL 2025
Towards compact and efficient Slovak summarization models
ACL 2025
uMedSum: A Unified Framework for Clinical Abstractive Summarization
ACL 2025
When Neutral Summaries Are Not That Neutral: Quantifying Political Neutrality in LLM-Generated News Summaries (Student Abstract)
AAAI 2025
Abstractive Multi-Video Captioning: Benchmark Dataset Construction and Extensive Evaluation
COLING 2024
ACLSum: A New Dataset for Aspect-based Summarization of Scientific Publications
NAACL 2024
Active Learning for Abstractive Text Summarization via LLM-Determined Curriculum and Certainty Gain Maximization
EMNLP 2024
ACUEval: Fine-grained Hallucination Evaluation and Correction for Abstractive Summarization
ACL 2024
Adding Argumentation into Human Evaluation of Long Document Abstractive Summarization: A Case Study on Legal Opinions
COLING 2024
A Fairness Analysis of Human and AI-Generated Student Reflection Summaries
ACL 2024
Alleviating Exposure Bias in Abstractive Summarization via Sequentially Generating and Revising
COLING 2024
AMRFact: Enhancing Summarization Factuality Evaluation with AMR-Driven Negative Samples Generation
NAACL 2024
Attacks against Abstractive Text Summarization Models through Lead Bias and Influence Functions
EMNLP 2024
Bias in Opinion Summarisation from Pre-training to Adaptation: A Case Study in Political Bias
EACL 2024
BioLay_AK_SS at BioLaySumm: Domain Adaptation by Two-Stage Fine-Tuning of Large Language Models used for Biomedical Lay Summary Generation
ACL 2024
Bridging Numerical Reasoning and Headline Generation for Enhanced Language Models
SemEval 2024