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Informativeness

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TitleStatusHype
Assessing the Potential of Generative Agents in Crowdsourced Fact-Checking—0
Exploring Text Links for Coherent Multi-Document Summarization—0
Extracting Self-Consistent Causal Insights from Users Feedback with LLMs and In-context Learning—0
Few-Shot Graph Out-of-Distribution Detection with LLMs—0
Diverse mini-batch Active Learning—0
Diversified and Adaptive Negative Sampling on Knowledge Graphs—0
Fractal properties, information theory, and market efficiency—0
Document Filtering for Long-tail Entities—0
Best Practices for Crowd-based Evaluation of German Summarization: Comparing Crowd, Expert and Automatic Evaluation—0
Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification—0
AdAEM: An Adaptively and Automated Extensible Measurement of LLMs' Value Difference—0
Does Korean defeat phonotactic word segmentation?—0
Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization—0
Do Speakers Produce Discourse Connectives Rationally?—0
Asking the Difficult Questions: Goal-Oriented Visual Question Generation via Intermediate Rewards—0
Do we become wiser with time? On causal equivalence with tiered background knowledge—0
Exploiting Method Names to Improve Code Summarization: A Deliberation Multi-Task Learning Approach—0
Converging Dimensions: Information Extraction and Summarization through Multisource, Multimodal, and Multilingual Fusion—0
Dynamic Encoding and Decoding of Information for Split Learning in Mobile-Edge Computing: Leveraging Information Bottleneck Theory—0
A Manually Annotated Chinese Corpus for Non-task-oriented Dialogue Systems—0
EdinburghNLP at WNUT-2020 Task 2: Leveraging Transformers with Generalized Augmentation for Identifying Informativeness in COVID-19 Tweets—0
EditSum: A Retrieve-and-Edit Framework for Source Code Summarization—0
Efficient Deep Representation Learning by Adaptive Latent Space Sampling—0
Efficiently Learning Nonstationary Gaussian Processes for Real World Impact—0
EGCR: Explanation Generation for Conversational Recommendation—0
Knowledge-aware Document Summarization: A Survey of Knowledge, Embedding Methods and Architectures—0
Are LLM-generated plain language summaries truly understandable? A large-scale crowdsourced evaluation—0
Emotion-Aware Embedding Fusion in LLMs (Flan-T5, LLAMA 2, DeepSeek-R1, and ChatGPT 4) for Intelligent Response Generation—0
Emotion-Gradient Metacognitive RSI (Part I): Theoretical Foundations and Single-Agent Architecture—0
Large Language Models Understand and Can be Enhanced by Emotional Stimuli—0
Enhancing Abstractiveness of Summarization Models through Calibrated Distillation—0
Enhancing Pre-Trained Decision Transformers with Prompt-Tuning Bandits—0
Enhancing Text Generation with Inductive Event Reasoning—0
Bridging the Gap between Recognition-level Pre-training and Commonsensical Vision-language Tasks—0
Enriching Article Recommendation with Phrase Awareness—0
Bayesian Active Learning for Sim-to-Real Robotic Perception—0
Ensure the Correctness of the Summary: Incorporate Entailment Knowledge into Abstractive Sentence Summarization—0
Entity Summarization: State of the Art and Future Challenges—0
Contrastive Speaker-Aware Learning for Multi-party Dialogue Generation with LLMs—0
Error Analysis of Shapley Value-Based Model Explanations: An Informative Perspective—0
Contrastive Reasons Detection and Clustering from Online Polarized Debate—0
A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for Abstractive Text Summarization—0
Context-aware Visual Storytelling with Visual Prefix Tuning and Contrastive Learning—0
Are Current Decoding Strategies Capable of Facing the Challenges of Visual Dialogue?—0
Evaluating and Enhancing Out-of-Domain Generalization of Task-Oriented Dialog Systems for Task Completion without Turn-level Dialog Annotations—0
ChartQA-X: Generating Explanations for Charts—0
Active Scene Learning—0
Evaluating the Impact of Regulatory Policies on Social Welfare in Difference-in-Difference Settings—0
Evaluation of Neural Networks Defenses and Attacks using NDCG and Reciprocal Rank Metrics—0
Exploring Learning Complexity for Efficient Downstream Dataset Pruning—0
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