🏛️ The Computation & Language Crypt
cs.CL: Where Computation & Language papers rest without their code.
39803
Total Papers
26069
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Twilight
12648
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31.8%
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Semantics Meet Signals: Dual Codebook Representationl Learning for Generative Recommendation
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Hybrid Fact-Checking that Integrates Knowledge Graphs, Large Language Models, and Search-Based Retrieval Agents Improves Interpretable Claim Verification
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Beyond Single Embeddings: Capturing Diverse Targets with Multi-Query Retrieval
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RAGSmith: A Framework for Finding the Optimal Composition of Retrieval-Augmented Generation Methods Across Datasets
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Optimizing Retrieval for RAG via Reinforcement Learning
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ToolDreamer: Instilling LLM Reasoning Into Tool Retrievers
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Cost-Aware Retrieval-Augmentation Reasoning Models with Adaptive Retrieval Depth
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MedTrust-RAG: Evidence Verification and Trust Alignment for Biomedical Question Answering
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Rethinking Schema Linking: A Context-Aware Bidirectional Retrieval Approach for Text-to-SQL
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LLM, Reporting In! Medical Information Extraction Across Prompting, Fine-tuning and Post-correction
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RanAT4BIE: Random Adversarial Training for Biomedical Information Extraction
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ALLabel: Three-stage Active Learning for LLM-based Entity Recognition using Demonstration Retrieval
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Few-Shot Query Intent Detection via Relation-Aware Prompt Learning
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Optimizing Small Transformer-Based Language Models for Multi-Label Sentiment Analysis in Short Texts
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Iti-Validator: A Guardrail Framework for Validating and Correcting LLM-Generated Itineraries
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Better by Comparison: Retrieval-Augmented Contrastive Reasoning for Automatic Prompt Optimization
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DS@GT at CheckThat! 2025: A Simple Retrieval-First, LLM-Backed Framework for Claim Normalization
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Sparse and Dense Retrievers Learn Better Together: Joint Sparse-Dense Optimization for Text-Image Retrieval
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Evaluating Structured Decoding for Text-to-Table Generation: Evidence from Three Datasets
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LongRecall: A Structured Approach for Robust Recall Evaluation in Long-Form Text
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Link Prediction for Event Logs in the Process Industry
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HealthBranches: Synthesizing Clinically-Grounded Question Answering Datasets via Decision Pathways
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