🏛️ The Computation & Language Crypt
cs.CL: Where Computation & Language papers rest without their code.
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Total Papers
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Segment First, Retrieve Better: Realistic Legal Search via Rhetorical Role-Based Queries
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MUST-RAG: MUSical Text Question Answering with Retrieval Augmented Generation
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Culinary Crossroads: A RAG Framework for Enhancing Diversity in Cross-Cultural Recipe Adaptation
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GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization
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Question-Answer Extraction from Scientific Articles Using Knowledge Graphs and Large Language Models
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Consistent Explainers or Unreliable Narrators? Understanding LLM-generated Group Recommendations
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Applying Text Embedding Models for Efficient Analysis in Labeled Property Graphs
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Rethinking the Privacy of Text Embeddings: A Reproducibility Study of "Text Embeddings Reveal (Almost) As Much As Text"
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The Cross-Lingual Cost: Retrieval Biases in RAG over Arabic-English Corpora
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Beyond classical and contemporary models: a transformative AI framework for student dropout prediction in distance learning using RAG, Prompt engineering, and Cross-modal fusion
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Confidence and Stability of Global and Pairwise Scores in NLP Evaluation
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Evaluating Hybrid Retrieval Augmented Generation using Dynamic Test Sets: LiveRAG Challenge
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DAPFAM: A Domain-Aware Family-level Dataset to benchmark cross domain patent retrieval
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Text2Cypher Across Languages: Evaluating and Finetuning LLMs
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Small Encoders Can Rival Large Decoders in Detecting Groundedness
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Doc2SAR: A Synergistic Framework for High-Fidelity Extraction of Structure-Activity Relationships from Scientific Documents
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When Fine-Tuning Fails: Lessons from MS MARCO Passage Ranking
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AdaptGOT: A Pre-trained Model for Adaptive Contextual POI Representation Learning
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ECoRAG: Evidentiality-guided Compression for Long Context RAG
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Context Is Not Comprehension
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Multi-objective Aligned Bidword Generation Model for E-commerce Search Advertising
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Evaluating Named Entity Recognition Models for Russian Cultural News Texts: From BERT to LLM
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