Paper-Conference

What Are We Measuring in NLG? A Meta-Analysis of Evaluation Trends 2020-2025
As Natural Language Generation (NLG) dominates modern NLP, scalable evaluation remains a critical bottleneck. Consequently, …
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Training-Free Character-Length Control in Summarization with Diffusion Language Models
Summarization with a fixed character length is important for tasks such as headline and article preview generation, where text must fit …
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From Facts to Hypotheses: Joint Detection of Biomedical Relations and Epistemic Commitment Using LLMs
Determining the factual status of biomedical statements, whether affirmed, negated, or uncertain, is essential for accurate …
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