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🏛️ The Computation & Language Crypt
cs.CL: Where Computation & Language papers rest without their code.
40064
Total Papers
26069
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1086
Twilight
12909
Has Code
32.2%
Survival Rate
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LLM-Specific Utility: A New Perspective for Retrieval-Augmented Generation
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Is Implicit Knowledge Enough for LLMs? A RAG Approach for Tree-based Structures
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ImCoref-CeS: An Improved Lightweight Pipeline for Coreference Resolution with LLM-based Checker-Splitter Refinement
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Text2Token: Unsupervised Text Representation Learning with Token Target Prediction
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The Cartographer
Overview of the Plagiarism Detection Task at PAN 2025
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Peeking inside the Black-Box: Reinforcement Learning for Explainable and Accurate Relation Extraction
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KEO: Knowledge Extraction on OMIn via Knowledge Graphs and RAG for Safety-Critical Aviation Maintenance
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Contrastive Learning Using Graph Embeddings for Domain Adaptation of Language Models in the Process Industry
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Fine-grained auxiliary learning for real-world product recommendation
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Grounding Large Language Models in Clinical Evidence: A Retrieval-Augmented Generation System for Querying UK NICE Clinical Guidelines
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StepChain GraphRAG: Reasoning Over Knowledge Graphs for Multi-Hop Question Answering
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Hierarchical Semantic Retrieval with Cobweb
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Comparison of Unsupervised Metrics for Evaluating Judicial Decision Extraction
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Towards Structured Knowledge: Advancing Triple Extraction from Regional Trade Agreements using Large Language Models
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ADAM: A Diverse Archive of Mankind for Evaluating and Enhancing LLMs in Biographical Reasoning
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FoodSEM: Large Language Model Specialized in Food Named-Entity Linking
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Query-Centric Graph Retrieval Augmented Generation
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Retrieval over Classification: Integrating Relation Semantics for Multimodal Relation Extraction
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Few-Shot and Training-Free Review Generation via Conversational Prompting
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Hierarchical Resolution Transformers: A Wavelet-Inspired Architecture for Multi-Scale Language Understanding
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Dynamic Reasoning Chains through Depth-Specialized Mixture-of-Experts in Transformer Architectures
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SwasthLLM: a Unified Cross-Lingual, Multi-Task, and Meta-Learning Zero-Shot Framework for Medical Diagnosis Using Contrastive Representations
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