🏛️ The Computation & Language Crypt
cs.CL: Where Computation & Language papers rest without their code.
40064
Total Papers
26069
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Twilight
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Arce: Augmented Roberta with Contextualized Elucidations for Ner in Automated Rule Checking
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Reflect then Learn: Active Prompting for Information Extraction Guided by Introspective Confusion
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Two-Stage Quranic QA via Ensemble Retrieval and Instruction-Tuned Answer Extraction
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RTTC: Reward-Guided Collaborative Test-Time Compute
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Lightweight Transformers for Zero-Shot and Fine-Tuned Text-to-SQL Generation Using Spider
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Improving Crash Data Quality with Large Language Models: Evidence from Secondary Crash Narratives in Kentucky
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Taggus: An Automated Pipeline for the Extraction of Characters' Social Networks from Portuguese Fiction Literature
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Knowing When Not to Answer: Lightweight KB-Aligned OOD Detection for Safe RAG
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MaRGen: Multi-Agent LLM Approach for Self-Directed Market Research and Analysis
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Cross-Domain Web Information Extraction at Pinterest
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MRGSEM-Sum: An Unsupervised Multi-document Summarization Framework based on Multi-Relational Graphs and Structural Entropy Minimization
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Text-to-SQL Task-oriented Dialogue Ontology Construction
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Factual Inconsistencies in Multilingual Wikipedia Tables
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Multi-Relation Extraction in Entity Pairs using Global Context
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Multi-Label Classification with Generative AI Models in Healthcare: A Case Study of Suicidality and Risk Factors
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Text-to-SPARQL Goes Beyond English: Multilingual Question Answering Over Knowledge Graphs through Human-Inspired Reasoning
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Fast and Accurate Contextual Knowledge Extraction Using Cascading Language Model Chains and Candidate Answers
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Semi-automated Fact-checking in Portuguese: Corpora Enrichment using Retrieval with Claim extraction
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DENSE: Longitudinal Progress Note Generation with Temporal Modeling of Heterogeneous Clinical Notes Across Hospital Visits
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SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN
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"This Suits You the Best": Query Focused Comparative Explainable Summarization
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Enhancing Temporal Sensitivity of Large Language Model for Recommendation with Counterfactual Tuning
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